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Airwallex raises $200M at a $4B valuation to double down on business banking

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Business, now more than ever before, is going digital, and today a startup that’s building a vertically integrated solution to meet business banking needs is announcing a big round of funding to tap into the opportunity. Airwallex — which provides business banking services both directly to businesses themselves, as well as via a set of APIs that power other companies’ fintech products — has raised $200 million, a Series E round of funding that values the Australian startup at $4 billion.

Lone Pine Capital is leading the round, with new backers G Squared and Vetamer Capital Management, and previous backers 1835i Ventures (formerly ANZi), DST Global, Salesforce Ventures and Sequoia Capital China, also participating.

The funding brings the total raised by Airwallex — which has head offices in Hong Kong and Melbourne, Australia — to date to $700 million, including a $100 million injection that closed out its Series D just six months ago.

Airwallex will be using the funding both to continue investing in its product and technology, as well as to continue its geographical expansion and to focus on some larger business targets. The company has started to make some headway into Europe and the UK and that will be one big focus, along with the U.S.

The quick succession of funding, and that rising valuation, underscore Airwallex’s traction to date around what CEO and co-founder Jack Zhang describes as a vertically integrated strategy.

That involves two parts. First, Airwallex has built all the infrastructure for the business banking services that it provides directly to businesses with a focus on small and medium enterprise customers. Second, it has packaged up that infrastructure into a set of APIs that a variety of other companies use to provide financial services directly to their customers without needing to build those services themselves — the so-called “embedded finance” approach.

“We want to own the whole ecosystem,” Zhang said to me. “We want to be like the Apple of business finance.”

That seems to be working out so far for Airwallex. Revenues were up almost 150% for the first half of 2021 compared to a year before, with the company processing more than US$20 billion for a global client portfolio that has quadrupled in size. In addition to tens of thousands of SMEs, it also, via APIs, powers financial services for other companies like GOAT, Papaya Global and Stake.

Airwallex got its start like many of the strongest startups do: it was built to solve a problem that the founders encountered themselves. In the case of Airwallex, Zhang tells me he had actually been working on a previous start-up idea. He wanted to build the “Blue Bottle Coffee” of Asia out of Hong Kong, and it involved buying and importing a lot of different materials, packaging and of course coffee from all around the world.

“We found that making payments as a small business was slow and expensive,” he said, since it involved banks in different countries and different banking systems, manual efforts to transfer money between them and many days to clear the payments. “But that was also my background — payments and trading — and so I decided that it was a much more fascinating problem for me to work on and resolve.”

Eventually one of his co-founders in the coffee effort came along, with the four co-founders of Airwallex ultimately including Zhang, along with Xijing Dai, Lucy Liu and Max Li.

It was 2014, and Airwallex got attention from VCs early on in part for being in the right place at the right time. A wave of startups building financial services for SMBs were definitely gaining ground in North America and Europe, filling a long-neglected hole in the technology universe, but there was almost nothing of the sort in the Asia Pacific region, and in those earlier days solutions were highly regionalized.

From there it was a no-brainer that starting with cross-border payments, the first thing Airwallex tackled, would soon grow into a wider suite of banking services involving payments and other cross-border banking services.

“In last 6 years, we’ve built more than 50 bank integrations and now offer payments 95 countries payments through a partner network,” he added, with 43 of those offering real-time transactions. From that, it moved on the bank accounts and “other primitive stuff” with card issuance and more, he said, eventually building an end-to-end payment stack. 

Airwallex has tens of thousands of customers using its financial services directly, and they make up about 40% of its revenues today. The rest is the interesting turn the company decided to take to expand its business.

Airwallex had built all of its technology from the ground up itself, and it found that — given the wave of new companies looking for more ways to engage customers and become their one-stop shop — there was an opportunity to package that tech up in a set of APIs and sell that on to a different set of customers, those who also provided services for small businesses. That part of the business now accounts for 60% of Airwallex’s business, Zhang said, and is growing faster in terms of revenues. (The SMB business is growing faster in terms of customers, he said.)

A lot of embedded finance startups that base their business around building tech to power other businesses tend to stay arm’s length from offering financial services directly to consumers. The explanation I have heard is that they do not wish to compete against their customers. Zhang said that Airwallex takes a different approach, by being selective about the customers they partner with, so that the financial services they offer would never be the kind that would not be in direct competition. The GOAT marketplace for sneakers, or Papaya Global’s HR platform are classic examples of this.

However, as Airwallex continues to grow, you can’t help but wonder whether one of those partners might like to gobble up all of Airwallex and take on some of that service provision role itself. In that context, it’s very interesting to see Salesforce Ventures returning to invest even more in the company in this round, given how widely the company has expanded from its early roots in software for salespeople into a massive platform providing a huge range of cloud services to help people run their businesses.

For now, it’s been the combination of its unique roots in Asia Pacific, plus its vertical approach of building its tech from the ground up, plus its retail acumen that has impressed investors and may well see Airwallex stay independent and grow for some time to come.

“Airwallex has a clear competitive advantage in the digital payments market,” said David Craver, MD at Lone Pine Capital, in a statement. “Its unique Asia-Pacific roots, coupled with its innovative infrastructure, products and services, speak volumes about the business’ global growth opportunities and its impressive expansion in the competitive payment providers space. We are excited to invest in Airwallex at this dynamic time, and look forward to helping drive the company’s expansion and success worldwide.”


By Ingrid Lunden

Nuula raises $120M to build out a financial services ‘superapp’ aimed at SMBs

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A Canadian startup called Nuula that is aiming to build a superapp to provide a range of financial services to small and medium businesses has closed $120 million of funding, money that it will use to fuel the launch of its app and first product, a line of credit for its users.

The money is coming in the form of $20 million in equity from Edison Partners, and a $100 million credit facility from funds managed by the Credit Group of Ares Management Corporation.

The Nuula app has been in a limited beta since June of this year. The plan is to open it up to general availability soon, while also gradually bringing in more services, some built directly by Nuula itself and but many others following an embedded finance strategy: business banking, for example, will be a service provided by a third party and integrated closely into the Nuula app to be launched early in 2022; and alongside that, the startup will also be making liberal use of APIs to bring in other white-label services such as B2B and customer-focused payment services, starting first in the U.S. and then expanding to Canada and the U.K. before further countries across Europe.

Current products include cash flow forecasting, personal and business credit score monitoring, and customer sentiment tracking; and monitoring of other critical metrics including financial, payments and eCommerce data are all on the roadmap.

“We’re building tools to work in a complementary fashion in the app,” CEO Mark Ruddock said in an interview. “Today, businesses can project if they are likely to run out of money, and monitor their credit scores. We keep an eye on customers and what they are saying in real time. We think it’s necessary to surface for SMBs the metrics that they might have needed to get from multiple apps, all in one place.”

Nuula was originally a side-project at BFS, a company that focused on small business lending, where the company started to look at the idea of how to better leverage data to build out a wider set of services addressing the same segment of the market. BFS grew to be a substantial business in its own right (and it had raised its own money to that end, to the tune of $184 million from Edison and Honeywell).  Over time, it became apparent to management that the data aspect, and this concept of a super app, would be key to how to grow the business, and so it pivoted and rebranded earlier this year, launching the beta of the app after that.

Nuula’s ambitions fall within a bigger trend in the market. Small and medium enterprises have shaped up to be a huge business opportunity in the world of fintech in the last several years. Long ignored in favor of building solutions either for the giant consumer market, or the lucrative large enterprise sector, SMBs have proven that they want and are willing to invest in better and newer technology to run their businesses, and that’s leading to a rush of startups and bigger tech companies bringing services to the market to cater to that.

Super apps are also a big area of interest in the world of fintech, although up to now a lot of what we’ve heard about in that area has been aimed at consumers — just the kind of innovation rut that Nuula is trying to get moving.

“Despite the growth in services addressing the SMB sector, overall it still lacks innovation compared to consumer or enterprise services,” Ruddock said. “We thought there was some opportunity to bring new thinking to the space. We see this as the app that SMBs will want to use everyday, because we’ll provide useful tools, insights and capital to power their businesses.”

Nuula’s priority to build the data services that connect all of this together is very much in keeping with how a lot of neobanks are also developing services and investing in what they see as their unique selling point. The theory goes like this: banking services are, at the end of the day, the same everywhere you go, and therefore commoditized, and so the more unique value-added for companies will come from innovating with more interesting algorithms and other data-based insights and analytics to give more power to their users to make the best use of what they have at their disposal.

It will not be alone in addressing that market. Others building fintech for SMBs include Selina, ANNA, Amex’s Kabbage (an early mover in using big data to help loan money to SMBs and build other financial services for them), Novo, Atom Bank, Xepelin, and Liberis, biggies like Stripe, Square and PayPal, and many others.

The credit product that Nuula has built so far is a taster of how it hopes to be a useful tool for SMBs, not just another place to get money or manage it. It’s not a direct loaning service, but rather something that is closely linked to monitoring a customers’ incomings and outgoings and only prompts a credit line (which directly links into the users’ account, wherever it is) when it appears that it might be needed.

“Innovations in financial technology have largely democratized who can become the next big player in small business finance,” added Gary Golding, General Partner, Edison Partners. “By combining critical financial performance tools and insights into a single interface, Nuula represents a new class of financial services technology for small business, and we are excited by the potential of the firm.”

“We are excited to be working with Nuula as they build a unique financial services resource for small businesses and entrepreneurs,” said Jeffrey Kramer, Partner and Head of ABS in the Alternative Credit strategy of the Ares Credit Group, in a statement. “The evolution of financial technology continues to open opportunities for innovation and the emergence of new industry participants. We look forward to seeing Nuula’s experienced team of technologists, data scientists and financial service veterans bring a new generation of small business financial services solutions to market.”


By Ingrid Lunden

Fractory raises $9M to rethink the manufacturing supply chain for metalworks

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The manufacturing industry took a hard hit from the Covid-19 pandemic, but there are signs of how it is slowly starting to come back into shape — helped in part by new efforts to make factories more responsive to the fluctuations in demand that come with the ups and downs of grappling with the shifting economy, virus outbreaks and more. Today, a businesses that is positioning itself as part of that new guard of flexible custom manufacturing — a startup called Fractory — is announcing a Series A of $9 million (€7.7 million) that underscores the trend.

The funding is being led by OTB Ventures, a leading European investor focussed on early growth, post-product, high-tech start-ups, with existing investors Trind Ventures, Superhero Capital, United Angels VC, Startup Wise Guys and Verve Ventures also participating.

Founded in Estonia but now based in Manchester, England — historically a strong hub for manufacturing in the country, and close to Fractory’s customers — Fractory has built a platform to make it easier for those that need to get custom metalwork to upload and order it, and for factories to pick up new customers and jobs based on those requests.

Fractory’s Series A will be used to continue expanding its technology, and to bring more partners into its ecosystem.

To date, the company has worked with more than 24,000 customers and hundreds of manufacturers and metal companies, and altogether it has helped crank out more than 2.5 million metal parts.

To be clear, Fractory isn’t a manufacturer itself, nor does it have no plans to get involved in that part of the process. Rather, it is in the business of enterprise software, with a marketplace for those who are able to carry out manufacturing jobs — currently in the area of metalwork — to engage with companies that need metal parts made for them, using intelligent tools to identify what needs to be made and connecting that potential job to the specialist manufacturers that can make it.

The challenge that Fractory is solving is not unlike that faced in a lot of industries that have variable supply and demand, a lot of fragmentation, and generally an inefficient way of sourcing work.

As Martin Vares, Fractory’s founder and MD, described it to me, companies who need metal parts made might have one factory they regularly work with. But if there are any circumstances that might mean that this factory cannot carry out a job, then the customer needs to shop around and find others to do it instead. This can be a time-consuming, and costly process.

“It’s a very fragmented market and there are so many ways to manufacture products, and the connection between those two is complicated,” he said. “In the past, if you wanted to outsource something, it would mean multiple emails to multiple places. But you can’t go to 30 different suppliers like that individually. We make it into a one-stop shop.”

On the other side, factories are always looking for better ways to fill out their roster of work so there is little downtime — factories want to avoid having people paid to work with no work coming in, or machinery that is not being used.

“The average uptime capacity is 50%,” Vares said of the metalwork plants on Fractory’s platform (and in the industry in general). “We have a lot more machines out there than are being used. We really want to solve the issue of leftover capacity and make the market function better and reduce waste. We want to make their factories more efficient and thus sustainable.”

The Fractory approach involves customers — today those customers are typically in construction, or other heavy machinery industries like ship building, aerospace and automotive — uploading CAD files specifying what they need made. These then get sent out to a network of manufacturers to bid for and take on as jobs — a little like a freelance marketplace, but for manufacturing jobs. About 30% of those jobs are then fully automated, while the other 70% might include some involvement from Fractory to help advise customers on their approach, including in the quoting of the work, manufacturing, delivery and more. The plan is to build in more technology to improve the proportion that can be automated, Vares said. That would include further investment in RPA, but also computer vision to better understand what a customer is looking to do, and how best to execute it.

Currently Fractory’s platform can help fill orders for laser cutting and metal folding services, including work like CNC machining, and it’s next looking at industrial additive 3D printing. It will also be looking at other materials like stonework and chip making.

Manufacturing is one of those industries that has in some ways been very slow to modernize, which in a way is not a huge surprise: equipment is heavy and expensive, and generally the maxim of “if it ain’t broke, don’t fix it” applies in this world. That’s why companies that are building more intelligent software to at least run that legacy equipment more efficiently are finding some footing. Xometry, a bigger company out of the U.S. that also has built a bridge between manufacturers and companies that need things custom made, went public earlier this year and now has a market cap of over $3 billion. Others in the same space include Hubs (which is now part of Protolabs) and Qimtek, among others.

One selling point that Fractory has been pushing is that it generally aims to keep manufacturing local to the customer to reduce the logistics component of the work to reduce carbon emissions, although as the company grows it will be interesting to see how and if it adheres to that commitment.

In the meantime, investors believe that Fractory’s approach and fast growth are strong signs that it’s here to stay and make an impact in the industry.

“Fractory has created an enterprise software platform like no other in the manufacturing setting. Its rapid customer adoption is clear demonstrable feedback of the value that Fractory brings to manufacturing supply chains with technology to automate and digitise an ecosystem poised for innovation,” said Marcin Hejka in a statement. “We have invested in a great product and a talented group of software engineers, committed to developing a product and continuing with their formidable track record of rapid international growth


By Ingrid Lunden

DealHub raises $20M Series B for its sales platform

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DealHub.io, an Austin-based platform that helps businesses manage the entire process of their sales engagements, today announced that it has raised a $20 million Series B funding round. The round was led by Israel Growth Partners, with participation from existing investor Cornerstone Venture Partners. This brings DealHub’s total funding to $24.5 million.

The company describes itself as a ‘revenue amplification’ platform (or ‘RevAmp,’ as DealHub likes to call it) that represents the next generation of existing sales and revenue operations tools. It’s meant to give businesses a more complete view of buyers and their intent, and streamline the sales processes from proposal to pricing quotes, subscription management and (electronic) signatures.

“Yesterday’s siloed sales tools no longer cut it in the new Work from Anywhere era,” said Eyal Elbahary, CEO & Co-founder of DealHub.io. “Sales has undergone the largest disruption it has ever seen. Not only have sales teams needed to adapt to more sophisticated and informed buyers, but remote selling and digital transformation have compelled them to evolve the traditional sales process into a unique human-to-human interaction.”

The platform integrates with virtually all of the standard CRM tools, including Salesforce, Microsoft Dynamics and Freshworks, as well as e-signature platforms like DocuSign.

The company didn’t share any revenue data, but it notes that the new funding round follows “continued multi-year hyper-growth.” In part, the company argues, demand for its platform has been driven by sales teams that need new tools, given that they — for the most part — can’t travel to meet their (potential) customers face-to-face.

“Revenue leaders need the agility to keep pace with today’s fast and ever-changing business environment. They cannot afford to be restrained by rigid and costly to implement tools to manage their sales processes,” said Uri Erde, General Partner at Israel Growth Partners. “RevAmp provides a simple to operate, intuitive, no-code solution that makes it possible for sales organizations to continuously adapt to the modern sales ecosystem. Furthermore, it provides sales leaders the visibility and insights they need to manage and consistently accelerate revenue growth. We’re excited to back the innovation DealHub is bringing to the world of revenue operations and help fuel its growth.”


By Frederic Lardinois

TigerGraph raises $105M Series C for its enterprise graph database

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TigerGraph, a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. The round was led by Tiger Global and brings the company’s total funding to over $170 million.

“TigerGraph is leading the paradigm shift in connecting and analyzing data via scalable and native graph technology with pre-connected entities versus the traditional way of joining large tables with rows and columns,” said TigerGraph found and CEO, Yu Xu. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Current TigerGraph customers include the likes of Amgen, Citrix, Intuit, Jaguar Land Rover and UnitedHealth Group. Using a SQL-like query language (GSQL), these customers can use the company’s services to store and quickly query their graph databases. At the core of its offerings is the TigerGraphDB database and analytics platform, but the company also offers a hosted service, TigerGraph Cloud, with pay-as-you-go pricing, hosted either on AWS or Azure. With GraphStudio, the company also offers a graphical UI for creating data models and visually analyzing them.

The promise for the company’s database services is that they can scale to tens of terabytes of data with billions of edges. Its customers use the technology for a wide variety of use cases, including fraud detection, customer 360, IoT, AI, and machine learning.

Like so many other companies in this space, TigerGraph is facing some tailwind thanks to the fact that many enterprises have accelerated their digital transformation projects during the pandemic.

“Over the last 12 months with the COVID-19 pandemic, companies have embraced digital transformation at a faster pace driving an urgent need to find new insights about their customers, products, services, and suppliers,” the company explains in today’s announcement. “Graph technology connects these domains from the relational databases, offering the opportunity to shrink development cycles for data preparation, improve data quality, identify new insights such as similarity patterns to deliver the next best action recommendation.”


By Frederic Lardinois

SAP launches ‘RISE with SAP,’ a concierge service for digital transformation

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SAP today announced a new offering it calls ‘RISE with SAP,’ a solution that is meant to help the company’s customers go through their respective digital transformations and become what SAP calls ‘intelligent enterprises.’ RISE is a subscription service that combines a set of services and product offerings.

SAP’s head of product success Sven Denecken (and its COO for S/4Hana) described it as “the best concierge service you can get for your digital transformation” when I talked to him earlier this week. “We need to help our clients to embrace that change that they see currently,” he said. “Transformation is a journey. Every client wants to become that smarter, faster and that nimbler business, but they, of course, also see that they are faced with challenges today and in the future. This continuous transformation is what is happening to businesses. And we do know from working together with them, that actually they agree with those fundamentals. They want to be an intelligent enterprise. They want to adapt and change. But the key question is how to get there? And the key question they ask us is, please help us to get there.”

With RISE for SAP, businesses will get a single contact at SAP to help guide them through their journey, but also access to the SAP partner ecosystem.

The first step in this process, Denecken stressed, isn’t necessarily to bring in new technology, though that is also part of it, but to help businesses redesign and optimize their business processes and implement the best practices in their verticals — and then measure the outcome. “Business process redesign means that you analyze how your business processes perform. How can you get tailored recommendations? How can you benchmark against industry standards? And this helps you to set the tone and also to motivate your people — your IT, your business people — to adapt,” Denecken described. He also noted that in order for a digital transformation project to succeed, IT and business leaders and employees have to work together.

In part, that includes technology offerings and adopting robotic process automation (RPA), for example. As Denecken stressed, all of this builds on top of the work SAP has done with its customers over the years to define business processes and KPIs.

On the technical side, SAP is obviously offering its own services, including its Business Technology Platform, and cloud infrastructure, but it will also support customers on all of the large cloud providers. Also included in RISE is support for more than 2,200 APIs to integrate various on-premises, cloud and non-SAP systems, access to SAP’s low-code and no-code capabilities and, of course, its database and analytics offerings.

“Geopolitical tensions, environmental challenges and the ongoing pandemic are forcing businesses to deal with change faster than ever before,” said Christian Klein, SAP’s CEO, in today’s announcement. “Companies that can adapt their business processes quickly will thrive – and SAP can help them achieve this. This is what RISE with SAP is all about: It helps customers continuously unlock new ways of running businesses in the cloud to stay ahead of their industry.”

With this new offering, SAP is now providing its customers with a number of solutions that were previously available through its partner ecosystem. Denecken doesn’t see this as SAP competing with its own partners, though. Instead, he argues that this is very much a partner play and that this new solution will likely only bring more customers to its partners as well.

“Needless to say, this has been a negotiation with those partners,” he said. “Because yes, it’s sometimes topics that we now take over they [previously] did. But we are looking for scale here. The need in the market for digital transformation has just started. And this is where we see that this is definitely a big offering, together with partners. “


By Frederic Lardinois

Skydio partners with EagleView for autonomous residential roof inspections via drone

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Skydio only just recently announced its expansion into the enterprise and commercial market with hardware and software tools for its autonomous drone technology, and now it’s taking the lid off a brand new big partnership with one commercial partner. Skydio will work with EagleView to deploy automated residential roof inspection using Skydio drones, with service initially provide via EagleView’s Assess product, launching first in the Dallas/Ft. Worth area of Texas.

The plan is to expand coverage to additional metro areas starting next year, and then broaden to rural customers as well. The partners will use AI-based analysis, paired with Skydio’s high-resolution, precision imaging to provide roofing status information to insurance companies, claims adjustment companies and government agencies, providing a new level of quality and accuracy for property inspections that don’t even require an in-person roof inspection component.

Autonomous drone startup Skydio raises $100 million and launches the X2 commercial drone

Skydio announced its enterprise product expansion in July, alongside a new $100 million funding round. The startup, which has already delivered two generations of its groundbreaking fully autonomous consumer drone, also debuted the X2, a commercial drone that includes additional features like a thermal imaging camera. It’s also offering a suite of “enterprise skills,” software features that can provide its partners with automated workflows and AI analysis and processing, including a House Scan feature for residential roof inspection, which is core to this new partnership.


By Darrell Etherington

ServiceNow updates its workflow automation platform

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ServiceNow today announced the latest release of its workflow automation platform. With this, the company is emphasizing a number of new solutions for specific verticals, including for telcos and financial services organizations. This focus on verticals extends the company’s previous efforts to branch out beyond the core IT management capabilities that defined its business during its early years. The company is also adding new features for making companies more resilient in the face of crises, as well as new machine learning-based tools.

Dubbed the ‘Paris’ release, this update also marks one of the first major releases for the company since former SAP CEO Bill McDermott became its president and CEO last November.

“We are in the business of operating on purpose,” McDermott said “And that purpose is to make the world of work work better for people. And frankly, it’s all about people. That’s all CEOs talk about all around the world. This COVID environment has put the focus on people. In today’s world, how do you get people to achieve missions across the enterprise? […] Businesses are changing how they run to drive customer loyalty and employee engagement.”

Former SAP CEO Bill McDermott taking over as ServiceNow CEO

He argues that at this point, “technology is no longer supporting the business, technology is the business,” but at the same time, the majority of companies aren’t prepared to meet whatever digital disruption comes their way. ServiceNow, of course, wants to position itself as the platform that can help these businesses.

“We are very fortunate at ServiceNow,” CJ Desai, ServiceNow’s Chief Product Officer, said. “We are the critical platform for digital transformation, as our customers are thinking about transforming their companies.”

As far as the actual product updates, ServiceNow is launching a total of six new products. These include new business continuity management features with automated business impact analysis and tools for continuity plan development, as well as new hardware asset management for IT teams and legal service delivery for legal operations teams.

Image Credits: ServiceNow

With specialized solutions for financial services and telco users, the company is also now bringing together some of its existing solutions with more specialized services for these customers. As ServiceNow’s Dave Wright noted, this goes well beyond just putting together existing blocks.

“The first element is actually getting familiar with the business,” he explained. “So the technology, actually building the product, isn’t that hard. That’s relatively quick. But the uniqueness when you look at all of these workflows, it’s the connection of the operations to the customer service side. Telco is a great example. You’ve got the telco network operations side, making sure that all the operational equipment is active. And then you’ve got the business service side with customer service management, looking at how the customers are getting service. Now, the interesting thing is, because we’ve got both things sitting on one platform, we can link those together really easily.”

Image Credits: ServiceNow

On the machine learning side, ServiceNow made six acquisitions in the area in the last four years, Wright noted — and that is now starting to pay off. Specifically, the company is launching its new predictive intelligence workbench with this release. This new service makes it easier for process owners to detect issues, while also suggesting relevant tasks and content to agents, for example, and prioritizing incoming requests automatically. Using unsupervised learning, the system can also identify other kinds of patterns and with a number of pre-built templates, users can build their own solutions, too.

“The ServiceNow advantage has always been one architecture, one data model and one born-in-the-cloud platform that delivers workflows companies need and great experiences employees and customers expect,” said Desai. “The Now Platform Paris release provides smart experiences powered by AI, resilient operations, and the ability to optimize spend. Together, they will provide businesses with the agility they need to help them thrive in the COVID economy.”


By Frederic Lardinois

Latent AI makes edge AI workloads more efficient

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Latent AI, a startup that was spun out of SRI International, makes it easier to run AI workloads at the edge by dynamically managing workloads as necessary.

Using its proprietary compression and compilation process, Latent AI promises to compress library files by 10x and run them with 5x lower latency than other systems, all while using less power thanks to its new adaptive AI technology, which the company is launching as part of its appearance in the TechCrunch Disrupt Battlefield competition today.

Founded by CEO Jags Kandasamy and CTO Sek Chai, the company has already raised a $6.5 million seed round led by Steve Jurvetson of Future Ventures and followed by Autotech Ventures .

Before starting Latent AI, Kandasamy sold his previous startup OtoSense to Analog Devices (in addition to managing HPE Mid-Market Security business before that). OtoSense used data from sound and vibration sensors for predictive maintenance use cases. Before its sale, the company worked with the likes of Delta Airlines and Airbus.

Image Credits: Latent AI

In some ways, Latent AI picks up some of this work and marries it with IP from SRI International .

“With OtoSense, I had already done some edge work,” Kandasamy said. “We had moved the audio recognition part out of the cloud. We did the learning in the cloud, but the recognition was done in the edge device and we had to convert quickly and get it down. Our bill in the first few months made us move that way. You couldn’t be streaming data over LTE or 3G for too long.”

At SRI, Chai worked on a project that looked at how to best manage power for flying objects where, if you have a single source of power, the system could intelligently allocate resources for either powering the flight or running the onboard compute workloads, mostly for surveillance, and then switch between them as needed. Most of the time, in a surveillance use case, nothing happens. And while that’s the case, you don’t need to compute every frame you see.

“We took that and we made it into a tool and a platform so that you can apply it to all sorts of use cases, from voice to vision to segmentation to time series stuff,” Kandasamy explained.

What AI startups need to achieve before VCs will invest

What’s important to note here is that the company offers the various components of what it calls the Latent AI Efficient Inference Platform (LEIP) as standalone modules or as a fully integrated system. The compressor and compiler are the first two of these and what the company is launching today is LEIP Adapt, the part of the system that manages the dynamic AI workloads Kandasamy described above.

Image Credits: Latent AI

In practical terms, the use case for LEIP Adapt is that your battery-powered smart doorbell, for example, can run in a low-powered mode for a long time, waiting for something to happen. Then, when somebody arrives at your door, the camera wakes up to run a larger model — maybe even on the doorbell’s base station that is plugged into power — to do image recognition. And if a whole group of people arrives at ones (which isn’t likely right now, but maybe next year, after the pandemic is under control), the system can offload the workload to the cloud as needed.

Kandasamy tells me that the interest in the technology has been “tremendous.” Given his previous experience and the network of SRI International, it’s maybe no surprise that Latent AI is getting a lot of interest from the automotive industry, but Kandasamy also noted that the company is working with consumer companies, including a camera and a hearing aid maker.

The company is also working with a major telco company that is looking at Latent AI as part of its AI orchestration platform and a large CDN provider to help them run AI workloads on a JavaScript backend.

The sound of impending failure


By Frederic Lardinois

Microsoft launches Project Bonsai, its new machine teaching service for building autonomous systems

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At its Build developer conference, Microsoft today announced that Project Bonsai, its new machine teaching service, is now in public preview.

If that name sounds familiar, it’s probably because you remember that Microsoft acquired Bonsai, a company that focuses on machine teaching, back in 2018. Bonsai combined simulation tools with different machine learning techniques to build a general-purpose deep reinforcement learning platform, with a focus on industrial control systems.

It’s maybe no surprise then that Project Bonsai, too, has a similar focus on helping businesses teach and manage their autonomous machines. “With Project Bonsai, subject-matter experts can add state-of-the-art intelligence to their most dynamic physical systems and processes without needing a background in AI,” the company notes in its press materials.

“The public preview of Project Bonsai builds on top of the Bonsai acquisition and the autonomous systems private preview announcements made at Build and Ignite of last year,” a Microsoft spokesperson told me.

Interestingly, Microsoft notes that project Bonsai is only the first block of a larger vision to help its customers build these autonomous systems. The company also stresses the advantages of machine teaching over other machine learning approach, especially the fact that it’s less of a black box approach than other methods, which makes it easier for developers and engineers to debug systems that don’t work as expected.

In addition to Bonsai, Microsoft also today announced Project Moab, an open-source balancing robot that is meant to help engineers and developers learn the basics of how to build a real-world control system. The idea here is to teach the robot to keep a ball balanced on top of a platform that is held by three arms.

Potential users will be able to either 3D print the robot themselves or buy one when it goes on sale later this year. There is also a simulation, developed by MathWorks, that developers can try out immediately.

“You can very quickly take it into areas where doing it in traditional ways would not be easy, such as balancing an egg instead,” said Mark Hammond, Microsoft General Manager
for Autonomous Systems. “The point of the Project Moab system is to provide that
playground where engineers tackling various problems can learn how to use the tooling and simulation models. Once they understand the concepts, they can apply it to their novel use case.”

Microsoft is buying AI startup, Bonsai


By Frederic Lardinois

Microsoft launches Edge Zones for Azure

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Microsoft today announced the launch of Azure Edge Zones, which will allow Azure users to bring their applications to the company’s edge locations. The focus here is on enabling real-time low-latency 5G applications. The company is also launching a version of Edge Zones with carriers (starting with AT&T) in preview, which connects these zones directly to 5G networks in the carrier’s data center. And to round it all out, Azure is also getting Private Edge Zones for those who are deploying private 5G/LTE networks in combination with Azure Stack Edge.

In addition to partnering with carriers like AT&T, as well as Rogers, SK Telecom, Telstra and Vodafone, Microsoft is also launching new standalone Azure Edge Zones in more than 10 cities over the next year, starting with L.A., Miami and New York later this summer.

“For the last few decades, carriers and operators have pioneered how we connect with each other, laying the foundation for telephony and cellular,” the company notes in today’s announcement. “With cloud and 5G, there are new possibilities by combining cloud services, like compute and AI with high bandwidth and ultra-low latency. Microsoft is partnering with them bring 5G to life in immersive applications built by organization and developers.”

This may all sound a bit familiar and that’s because only a few weeks ago, Google launched Anthos for Telecom and its Global Mobile Edge Cloud, which at first glance offers a similar promise of bringing applications close to that cloud’s edge locations for 5G and telco usage. Microsoft argues that its offering is more comprehensive in terms of its partner ecosystem and geographic availability. But it’s clear that 5G is a trend all of the large cloud providers are trying to tap into. Microsoft’s own acquisition of 5G cloud specialist Affirmed Networks is yet another example of how it is looking to position itself in this market.

As far as the details of the various Edge Zone versions go, the focus of Edge Zones is mostly on IoT and AI workloads, while Microsoft notes that Edge Zones with Carriers is more about low-latency online gaming, remote meetings and events, as well as smart infrastructure. Private Edge Zones, which combine private carrier networks with Azure Stack Edge, is something only a small number of large enterprise companies is likely to look into, given the cost and complexity of rolling out a system like this.

Google Cloud goes after the telco business with Anthos for Telecom and its Global Mobile Edge Cloud

Microsoft acquires 5G specialist Affirmed Networks

 


By Frederic Lardinois

Microsoft launches Power Virtual Agents, its no-code bot builder

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Microsoft today announced the public preview of its Power Virtual Agents tool, a new no-code tool for building chatbots that’s part of the company’s Power Platform, which also includes Microsoft Flow automation tool, which is being renamed to Power Automate today, and Power BI.

Built on top of Azure’s existing AI smarts and tools for building bots, Power Virtual Agents promises to make building a chatbot almost as easy as writing a Word document. With this, anybody within an organization could build a bot that walks a new employee through the onboarding experience for example.

“Power virtual agent is the newest addition to the Power Platform family,” said Microsoft’s Charles Lamanna in an interview ahead of today’s announcement. “Power Virtual Agent is very much focused on the same type of low code, accessible to anybody, no matter whether they’re a business user or business analyst or professional developer, to go build a conversational agent that’s AI-driven and can actually solve problems for your employees, for your customers, for your partners, in a very natural way.”

Power Virtual Agents handles the full lifecycle of the bot building experience, from the creation of the dialog to making it available in chat systems that include Teams, Slack, Facebook Messenger and others. Using Microsoft’s AI smarts, users don’t have to spend a lot of time defining every possible question and answer, but can instead rely on the tool to understand intentions and trigger the right action. “We do intent understanding, as well as entity extraction, to go and find the best topic for you to go down,” explained Lamanna. Like similar AI systems, the service also learns over time, based on feedback it receives from users.

One nice feature here is that if your setup outgrows the no-code/low-code stage and you need to get to the actual code, you’ll be able to convert the bot to Azure resources since that’s what’s powering the bot anyway. Once you’ve edited the code, you obviously can’t take it back into the no-code environment. “We have an expression for Power Platform, which is ‘no cliffs.’ […] The idea of ‘no cliffs’ is that the most common problem with a low-code platform is that, at some point, you want more control, you want code. And that’s frequently where low-code platforms run out of gas and you really have issues because you can’t have the pro dev take it over, you can’t make it mission-critical.”

The service is also integrated with tools like Power Automate/Microsoft Flow to allow users to trigger actions on other services based on the information the chatbot gathers.

Lamanna stressed that the service also generates lots of advanced analytics for those who are building bots with it. With this, users can see what topics are being asked about and where the system fails to provide answers, for example. It also visualizes the different text inputs that people provide so that bot builders can react to that.

Over the course of the last two or three years, we went from a lot of hype around chatbots to deep disillusionment with the experience they actually delivered. Lamanna isn’t fazed by that. In part, those earlier efforts failed because the developers weren’t close enough to the users. They weren’t product experts or part of the HR team inside a company. By using a low-code/no-code tool, he argues, the actual topic experts can build these bots. “If you hand it over to a developer or an AI specialist, they’re geniuses when it comes to developing code, but they won’t know the details and ins and outs of, say, the shoe business – and vice versa. So it actually changes how development happens.”


By Frederic Lardinois

OneTrust raises $200M at a $1.3B valuation to help organizations navigate online privacy rules

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GDPR, and the newer California Consumer Privacy Act, have given a legal bite to ongoing developments in online privacy and data protection: it’s always good practice for companies with an online presence to take measures to safeguard people’s data, but now failing to do so can land them in some serious hot water.

Now — to underscore the urgency and demand in the market — one of the bigger companies helping organizations navigate those rules is announcing a huge round of funding. OneTrust, which builds tools to help companies navigate data protection and privacy policies both internally and with its customers, has raised $200 million in a Series A led by Insight that values the company at $1.3 billion.

It’s an outsized round for a Series A, being made at an equally outsized valuation — especially considering that the company is only three years old — but that’s because, according to CEO Kabir Barday, of the wide-ranging nature of the issue, and OneTrust’s early moves and subsequent pole position in tackling it.

“We’re talking about an operational overhaul in a company’s practices,” Barday said in an interview. “That requires the right technology and reach to be able to deliver that at a low cost.” Notably, he said that OneTrust wasn’t actually in search of funding — it’s already generating revenue and could have grown off its own balance sheet — although he noted that having the capitalization and backing sends a signal to the market and in particular to larger organizations of its stability and staying power.

Currently, OneTrust has around 3,000 customers across 100 countries (and 1,000 employees), and the plan will be to continue to expand its reach geographically and to more businesses. Funding will also go towards the company’s technology: it already has 50 patents filed and another 50 applications in progress, securing its own IP in the area of privacy protection.

OneTrust offers technology and services covering three different aspects of data protection and privacy management.

Its Privacy Management Software helps an organization manage how it collects data, and it generates compliance reports in line with how a site is working relative to different jurisdictions. Then there is the famous (or infamous) service that lets internet users set their preferences for how they want their data to be handled on different sites. The third is a larger database and risk management platform that assesses how various third-party services (for example advertising providers) work on a site and where they might pose data protection risks.

These are all provided either as a cloud-based software as a service, or an on-premises solution, depending on the customer in question.

The startup also has an interesting backstory that sheds some light on how it was founded and how it identified the gap in the market relatively early.

Alan Dabbiere, who is the co-chairman of OneTrust, had been the chairman of Airwatch — the mobile device management company acquired by VMware in 2014 (Airwatch’s CEO and founder, John Marshall, is OneTrust’s other co-chairman). In an interview, he told me that it was when they were at Airwatch — where Barday had worked across consulting, integration, engineering and product management — that they began to see just how a smartphone “could be a quagmire of information.”

“We could capture apps that an employee was using so that we could show them to IT to mitigate security risks,” he said, “but that actually presented a big privacy issue. If [the employee] has dyslexia [and uses a special app for it] or if the employee used a dating app, you’ve now shown things to IT that you shouldn’t have.”

He admitted that in the first version of the software, “we weren’t even thinking about whether that was inappropriate, but then we quickly realised that we needed to be thinking about privacy.”

Dabbiere said that it was Barday who first brought that sensibility to light, and “that is something that we have evolved from.” After that, and after the VMware sale, it seemed a no-brainer that he and Marshall would come on to help the new startup grow.

Airwatch made a relatively quick exit, I pointed out. His response: the plan is to stay the course at OneTrust, with a lot more room for expansion in this market. He describes the issues of data protection and privacy as “death by 1,000 cuts.” I guess when you think about it from an enterprising point of view, that essentially presents 1,000 business opportunities.

Indeed, there is obvious growth potential to expand not just its funnel of customers, but to add in more services, such as proactive detection of malware that might leak customers’ data (which calls to mind the recently-fined breach at British Airways), as well as tools to help stop that once identified.

While there are a million other companies also looking to fix those problems today, what’s interesting is the point from which OneTrust is starting: by providing tools to organizations simply to help them operate in the current regulatory climate as good citizens of the online world.

This is what caught Insight’s eye with this investment.

“OneTrust has truly established themselves as leaders in this space in a very short timeframe, and are quickly becoming for privacy professionals what Salesforce became for salespeople,” said Richard Wells of Insight. “They offer such a vast range of modules and tools to help customers keep their businesses compliant with varying regulatory laws, and the tailwinds around GDPR and the upcoming CCPA make this an opportune time for growth. Their leadership team is unparalleled in their ambition and has proven their ability to convert those ambitions into reality.”

Wells added that while this is a big round for a Series A it’s because it is something of an outlier — not a mark of how Series A rounds will go soon.

“Investors will always be interested in and keen to partner with companies that are providing real solutions, are already established and are led by a strong group of entrepreneurs,” he said in an interview. “This is a company that has the expertise to help solve for what could be one of the greatest challenges of the next decade. That’s the company investors want to partner with and grow, regardless of fund timing.”


By Ingrid Lunden

Video platform Kaltura adds advanced analytics

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You may not be familiar with Kaltura‘s name, but chances are you’ve used the company’s video platform at some point or another, given that it offers a variety of video services for enterprises, educational institutions and video on demand platforms, including HBO,  Phillips, SAP, Stanford and others. Today, the company announced the launch of an advanced analytics platform for its enterprise and educational users.

This new platform, dubbed Kaltura Analytics for Admins, will provide its users with features like user-level reports. This may sound like a minor feature, since you probably don’t care about the exact details of a given user’s interactions with your video, but it will allow businesses to link this kind of behavior to other metrics. With this, you could measure the ROI of a given video by linking video watch time and sales, for example. This kind of granularity wasn’t possible with the company’s existing analytics systems. Companies and schools using the product will also get access to time period comparisons to help admins identify trends, deeper technology and geolocation reports, as well as real-time analytics for live events.

eCDN QoS dashboard

“Video is a unique data type in that it has deep engagement indicators for measurement, both around video creation – what types of content are being created by whom, as well as around video consumption and engagement with content – what languages were selected for subtitles, what hot-spots were clicked upon in video,” said Michal Tsur, President & General Manager of Enterprise and Learning at Kaltura. “Analytics is a very strategic area for our customers. Both for tech companies who are building on our VPaaS, as well as for large organizations and universities that use our video products for learning, communication, collaboration, knowledge management, marketing and sales.”

Tsur also tells me that the company is looking at how to best use machine learning to give its customers even deeper insights into how people watch videos — and potentially even offer predictive analytics in the long run.


By Frederic Lardinois

RealityEngines.AI raises $5.25M seed round to make ML easier for enterprises

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RealityEngines.AI, a research startup that wants to help enterprises make better use of AI, even when they only have incomplete data, today announced that it has raised a $5.25 million seed funding round. The round was led by former Google CEO and Chairman Eric Schmidt and Google founding board member Ram Shriram. Khosla Ventures, Paul Buchheit, Deepchand Nishar, Elad Gil, Keval Desai, Don Burnette and others also participated in this round.

The fact that the service was able to raise from this rather prominent group of investors clearly shows that its overall thesis resonates. The company, which doesn’t have a product yet, tells me that it specifically wants to help enterprises make better use of the smaller and noisier datasets they have and provide them with state-of-the-art machine learning and AI systems that they can quickly take into production. It also aims to provide its customers with systems that can explain their predictions and are free of various forms of bias, something that’s hard to do when the system is essentially a black box.

As RealityEngines CEO Bindu Reddy, who was previously the head of products for Google Apps, told me the company plans to use the funding to build out its research and development team. The company, after all, is tackling some of the most fundamental and hardest problems in machine learning right now — and that costs money. Some, like working with smaller datasets, already have some available solutions like generative adversarial networks that can augment existing datasets and that RealityEngines expects to innovate on.

Reddy is also betting on reinforcement learning as one of the core machine learning techniques for the platform.

Once it has its product in place, the plan is to make it available as a pay-as-you-go managed service that will make machine learning more accessible to large enterprise, but also to small and medium businesses, which also increasingly need access to these tools to remain competitive.


By Frederic Lardinois