Personal blog of Yzmir Ramirez

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 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 $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 U.K. and that will be one big focus, along with the U.S.

The quick succession of funding and 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 startup idea. He wanted to build the “Blue Bottle Coffee” of Asia Pacific out of Australia, 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 the last six years, we’ve built more than 50 bank integrations and now offer payments across 95 countries, payments through a partner network,” he added, with 43 of those offering real-time transactions. From that, it moved on to 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 at 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.”

Updated to note that the coffee business was in Australia, not Hong Kong.

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

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.”

Microsoft today announced Azure Percept, its new hardware and software platform for bringing more of its Azure AI services to the edge. Percept combines Microsoft’s Azure cloud tools for managing devices and creating AI models with hardware from Microsoft’s device partners. The general idea here is to make it far easier for all kinds of businesses to build and implement AI for things like object detection, anomaly detections, shelf analytics and keyword spotting at the edge by providing them with an end-to-end solution that takes them from building AI models to deploying them on compatible hardware.

To kickstart this, Microsoft also today launches a hardware development kit with an intelligent camera for vision use cases (dubbed Azure Percept Vision). The kit features hardware-enabled AI modules for running models at the edge, but it can also be connected to the cloud. Users will also be able to trial their proofs-of-concept in the real world because the development kit conforms to the widely used 80/20 T-slot framing architecture.

In addition to Percept Vision, Microsoft is also launching Azure Percept Audio for audio-centric use cases.

Azure Percept devices, including Trust Platform Module, Azure Percept Vision and Azure Percept Audio

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” said Roanne Sones, the corporate vice president of Microsoft’s edge and platform group, said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”

Percept customers will have access to Azure’s cognitive service and machine learning models and Percept devices will automatically connect to Azure’s IoT hub.

Microsoft says it is working with silicon and equipment manufacturers to build an ecosystem of “intelligent edge devices that are certified to run on the Azure Percept platform.” Over the course of the next few months, Microsoft plans to certify third-party devices for inclusion in this program, which will ideally allow its customers to take their proofs-of-concept and easily deploy them to any certified devices.

“Anybody who builds a prototype using one of our development kits, if they buy a certified device, they don’t have to do any additional work,” said Christa St. Pierre, a product manager in Microsoft’s Azure edge and platform group.

St. Pierre also noted that all of the components of the platform will have to conform to Microsoft’s responsible AI principles — and go through extensive security testing.

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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. “

Fylamynt, a new service that helps businesses automate their cloud workflows, today announced both the official launch of its platform as well as a $6.5 million seed round. The funding round was led by Google’s AI-focused Gradient Ventures fund. Mango Capital and Point72 Ventures also participated.

At first glance, the idea behind Fylamynt may sound familiar. Workflow automation has become a pretty competitive space, after all, and the service helps developers connect their various cloud tools to create repeatable workflows. We’re not talking about your standard IFTTT- or Zapier -like integrations between SaaS products, though. The focus of Fylamynt is squarely on building infrastructure workflows. While that may sound familiar, too, with tools like Ansible and Terraform automating a lot of that already, Fylamynt sits on top of those and integrates with them.

Image Credits: Fylamynt

“Some time ago, we used to do Bash and scripting — and then [ … ] came Chef and Puppet in 2006, 2007. SaltStack, as well. Then Terraform and Ansible,” Fylamynt co-founder and CEO Pradeep Padala told me. “They have all done an extremely good job of making it easier to simplify infrastructure operations so you don’t have to write low-level code. You can write a slightly higher-level language. We are not replacing that. What we are doing is connecting that code.”

So if you have a Terraform template, an Ansible playbook and maybe a Python script, you can now use Fylamynt to connect those. In the end, Fylamynt becomes the orchestration engine to run all of your infrastructure code — and then allows you to connect all of that to the likes of DataDog, Splunk, PagerDuty Slack and ServiceNow.

Image Credits: Fylamynt

The service currently connects to Terraform, Ansible, Datadog, Jira, Slack, Instance, CloudWatch, CloudFormation and your Kubernetes clusters. The company notes that some of the standard use cases for its service are automated remediation, governance and compliance, as well as cost and performance management.

The company is already working with a number of design partners, including Snowflake.

Fylamynt CEO Padala has quite a bit of experience in the infrastructure space. He co-founded ContainerX, an early container-management platform, which later sold to Cisco. Before starting ContainerX, he was at VMWare and DOCOMO Labs. His co-founders, VP of Engineering Xiaoyun Zhu and CTO David Lee, also have deep expertise in building out cloud infrastructure and operating it.

“If you look at any company — any company building a product — let’s say a SaaS product, and they want to run their operations, infrastructure operations very efficiently,” Padala said. “But there are always challenges. You need a lot of people, it takes time. So what is the bottleneck? If you ask that question and dig deeper, you’ll find that there is one bottleneck for automation: that’s code. Someone has to write code to automate. Everything revolves around that.”

Fylamynt aims to take the effort out of that by allowing developers to either write Python and JSON to automate their workflows (think “infrastructure as code” but for workflows) or to use Fylamynt’s visual no-code drag-and-drop tool. As Padala noted, this gives developers a lot of flexibility in how they want to use the service. If you never want to see the Fylamynt UI, you can go about your merry coding ways, but chances are the UI will allow you to get everything done as well.

One area the team is currently focusing on — and will use the new funding for — is building out its analytics capabilities that can help developers debug their workflows. The service already provides log and audit trails, but the plan is to expand its AI capabilities to also recommend the right workflows based on the alerts you are getting.

“The eventual goal is to help people automate any service and connect any code. That’s the holy grail. And AI is an enabler in that,” Padala said.

Gradient Ventures partner Muzzammil “MZ” Zaveri echoed this. “Fylamynt is at the intersection of applied AI and workflow automation,” he said. “We’re excited to support the Fylamynt team in this uniquely positioned product with a deep bench of integrations and a nonprescriptive builder approach. The vision of automating every part of a cloud workflow is just the beginning.”

The team, which now includes about 20 employees, plans to use the new round of funding, which closed in September, to focus on its R&D, build out its product and expand its go-to-market team. On the product side, that specifically means building more connectors.

The company offers both a free plan as well as enterprise pricing and its platform is now generally available.

When Microsoft introduced its customer data platform last February, the focus was on simply connecting silos of data to help customers get the data into the system. But as the pandemic has taken hold this year, customers need deeper insight into their customers, and Microsoft has made some enhancements to the platform today.

James Phillips, president of Microsoft Business Applications Group, says the goal of the platform is about understanding customers at a deeper level. “From that depth of understanding our customers can engage their customers through the entirety of the customer lifecycle,” Phillips told TechCrunch.

That could involve a variety of activities, such as personalizing offers, speaking to them in a way that they know their customers want to be spoken to, offering them new products and services that better meet their needs or supporting them better, he said.

He adds that COVID-19 has changed customer priorities and forced them to make adjustments to the way they do business and how they interact with customers. “As everything’s gone digital, the need to deeply understand your customer and to increase the efficacy of those engagements has really been heightened through this pandemic,” he said.

The company is announcing several new components to the customer data platform product to help customers build that understanding. The first is called Engagement Insights, which, as the name implies takes, all that data they’ve pushed to the CDP to help understand how the company is engaging with the customer better and deliver more meaningful interactions. That goes into preview today.

“Engagement Insights is about directly funneling web, mobile and connected product data back into Customer Insights to help continue to enrich that understanding of the customer in order to better serve them,” he said.

The next piece is about putting AI to work on all that data to allow marketers to make more educated predictions about the customers based on what they know about them. This takes advantage of Azure Synapse Analytics and provides a set of pre-built AI templates to help customers with elements like predicting customer churn, automating product recommendations and estimating customer lifetime value.

In addition, the company is offering a data governance product to help protect that data, and it’s integrating with Microsoft Customer Voice, the company’s survey tool to give customers the ability to fill in the blanks in the data by asking the customers when all of the data doesn’t provide an answer.

Phillips says all of these capabilities are about helping customers be more agile, so that as the world shifts, as it has so dramatically this year, businesses can be in a better position to react to those changes more quickly and meet the changing customer requirements.

It’s worth noting that Microsoft clearly isn’t alone in this type of offering, as every big company that sells marketing tools from Adobe to Salesforce to SAP is offering similar products for similar reasons.

Privacy data mismanagement is a lurking liability within every commercial enterprise. The very definition of privacy data is evolving over time and has been broadened to include information concerning an individual’s health, wealth, college grades, geolocation and web surfing behaviors. Regulations are proliferating at state, national and international levels that seek to define privacy data and establish controls governing its maintenance and use.

Existing regulations are relatively new and are being translated into operational business practices through a series of judicial challenges that are currently in progress, adding to the confusion regarding proper data handling procedures. In this confusing and sometimes chaotic environment, the privacy risks faced by almost every corporation are frequently ambiguous, constantly changing and continually expanding.

Conventional information security (infosec) tools are designed to prevent the inadvertent loss or intentional theft of sensitive information. They are not sufficient to prevent the mismanagement of privacy data. Privacy safeguards not only need to prevent loss or theft but they must also prevent the inappropriate exposure or unauthorized usage of such data, even when no loss or breach has occurred. A new generation of infosec tools is needed to address the unique risks associated with the management of privacy data.

The first wave of innovation

A variety of privacy-focused security tools emerged over the past few years, triggered in part by the introduction of GDPR (General Data Protection Regulation) within the European Union in 2018. New capabilities introduced by this first wave of innovation were focused in the following three areas:

Data discovery, classification and cataloging. Modern enterprises collect a wide variety of personal information from customers, business partners and employees at different times for different purposes with different IT systems. This data is frequently disseminated throughout a company’s application portfolio via APIs, collaboration tools, automation bots and wholesale replication. Maintaining an accurate catalog of the location of such data is a major challenge and a perpetual activity. BigID, DataGuise and Integris Software have gained prominence as popular solutions for data discovery. Collibra and Alation are leaders in providing complementary capabilities for data cataloging.

Consent management. Individuals are commonly presented with privacy statements describing the intended use and safeguards that will be employed in handling the personal data they supply to corporations. They consent to these statements — either explicitly or implicitly — at the time such data is initially collected. Osano, Transcend.io and DataGrail.io specialize in the management of consent agreements and the enforcement of their terms. These tools enable individuals to exercise their consensual data rights, such as the right to view, edit or delete personal information they’ve provided in the past.

No-code and low-code software have become increasingly popular ways for companies — especially those that don’t count technology as part of their DNA — to bring in more updated IT processes without the heavy lifting needed to build and integrate services from the ground up.

As a mark of that trend, today, a company that has taken this approach to speeding up customer experience is announcing some funding. EasySend, an Israeli startup which has built a no-code platform for insurance companies and other regulated businesses to build out forms and other interfaces to take in customer information and subsequently use AI systems to process it more efficiently, is announcing that it has raised $16 million.

The funding has actually come in two tranches, a $5 million seed round from Vertex Ventures and Menora Insurance that it never disclosed, and another $11 million round that closed more recently, led by Hanaco with participation from Intel Capital. The company is already generating revenue, and did so from the start, enough that it was actually bootstrapped for the first three years of its life.

Tal Daskal, EasySend’s CEO and co-founder, said that the funding being announced today will be used to help it expand into more verticals: up to now its primary target has been insurance companies, although organically it’s picked up customers from a number of other verticals, such as telecoms carriers, banks and more.

The plan will be now to hone in on specifically marketing to and building solutions for the financial services sector, as well as hiring and expanding in Asia, Europe and the US.

Longer term, he said, that another area EasySend might like to look at more in the future is robotic process automation (RPA). RPA, and companies that deal in it like UIPath, Automation Anywhere and Blue Prism, is today focused on the back office, and EasySend’s focus on the “front office” integrates with leaders in that area. But over time, it would make sense for EasySend to cover this in a more holistic way, he added.

Menora was a strategic backer: it’s one of the largest insurance providers in Israel, Daskal said, and it used EasySend to build out better ways for consumers to submit data for claims and apply for insurance.

Intel, he said, is also strategic although how is still being worked out: what’s notable to mention here is that Intel has been building out a huge autonomous driving business in Israel, anchored by MobileEye, and not only will insurance (and overall risk management) play a big part in how that business develops, but longer term you can see how there will be a need for a lot of seamless customer interactions (and form filling) between would-be car owners, operators, and passengers in order for services to operate more efficiently.

“Intel Capital chose to invest in EasySend because of its intelligent and impactful approach to accelerating digital transformation to improve customer experiences,” said Nick Washburn, senior managing director, Intel Capital, in a statement. “EasySend’s no-code platform utilizes AI to digitize thousands of forms quickly and easily, reducing development time from months to days, and transforming customer journeys that have been paper-based, inefficient and frustrating. In today’s world, this is more critical than ever before.”

The rise and persistence of Covid-19 globally has had a big, multi-faceted impact how we all do business, and two of those ways have fed directly into the growth of EasySend.

First, the move to remote working has given organizations a giant fillip to work on digital transformation, refreshing and replacing legacy systems with processes that work faster and rely on newer technologies.

Second, consumers have really reassessed their use of insurance services, specifically health and home policies, respectively to make sure they are better equipped in the event of a Covid-19-precipitated scare, and to make sure that they are adequately covered for how they now use their homes all hours of the day.

EasySend’s platform for building and running interfaces for customer experience fall directly into the kinds of apps and services that are being identified and updated, precisely at a time when its initial target customers, insurers, are seeing a surge in business. It’s that “perfect storm” of circumstances that the startup wouldn’t have wished on the world, but which has definitely helped it along.

While there are a lot of companies on the market today that help organizations automate and run their customer interaction processes, the Daskal said that EasySend’s focus on using AI to process information is what makes the startup more unique, as it can be used not just to run things, but to help improve how things work.

It’s not just about taking in character recognition and organizing data, it’s “understanding the business logic,” he said. “We have a lot of data and we can understand [for example] where customers left the process [when filling out forms]. We can give insights into how to increase the conversion rates.”

It’s that balance of providing tools to do business better today, as well as to focus on how to build more business for tomorrow, that has caught the eye of investors.

“Hanaco is firmly invested in building a digital future. By bridging the gap between manual processes and digitization, EasySend is making this not only possible, but also easy, affordable, and practical,” said Hanaco founding partner Alon Lifshitz, in a statement.

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’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.