AntiToxin sells safetytech to clean up poisoned platforms

The big social networks and video games have failed to prioritize user well-being over their own growth. As a result, society is losing the battle against bullying, predators, hate speech, misinformation and scammers. Typically when a whole class of tech companies have a dire problem they can’t cost-effectively solve themselves, a software-as-a-service emerges to fill the gap in web hosting, payment processing, etc. So along comes AntiToxin Technologies, a new Israeli startup that wants to help web giants fix their abuse troubles with its safety-as-a-service.

It all started on Minecraft. AntiToxin co-founder Ron Porat is cybersecurity expert who’d started popular ad blocker Shine. Yet right under his nose, one of his kids was being mercilessly bullied on the hit children’s game. If even those most internet-savvy parents were being surprised by online abuse, Porat realized the issue was bigger than could be addressed by victims trying to protect themselves. The platforms had to do more, research confirmed.

A recent Ofcom study found almost 80% of children had a potentially harmful online experience in the past year. Indeed, 23% said they’d been cyberbullied, and 28% of 12 to 15-year-olds said they’d received unwelcome friend or follow requests from strangers. A Ditch The Label study found of 12 to 20-year-olds who’d been bullied online, 42% were bullied on Instagram.

Unfortunately, the massive scale of the threat combined with a late start on policing by top apps makes progress tough without tremendous spending. Facebook tripled the headcount of its content moderation and security team, taking a noticeable hit to its profits, yet toxicity persists. Other mainstays like YouTube and Twitter have yet to make concrete commitments to safety spending or staffing, and the result is non-stop scandals of child exploitation and targeted harassment. Smaller companies like Snap or Fortnite-maker Epic Games may not have the money to develop sufficient safeguards in-house.

“The tech giants have proven time and time again we can’t rely on them. They’ve abdicated their responsibility. Parents need to realize this problem won’t be solved by these companies” says AntiToxin CEO Zohar Levkovitz, who previously sold his mobile ad company Amobee to Singtel for $321 million. “You need new players, new thinking, new technology. A company where ‘Safety’ is the product, not an after-thought. And that’s where we come-in.” The startup recently raised a multimillion-dollar seed round from Mangrove Capital Partners and is allegedly prepping for a double-digit millions Series A.

AntiToxin’s technology plugs into the backends of apps with social communities that either broadcast or message with each other and are thereby exposed to abuse. AntiToxin’s systems privately and securely crunch all the available signals regarding user behavior and policy violation reports, from text to videos to blocking. It then can flag a wide range of toxic actions and let the client decide whether to delete the activity, suspend the user responsible or how else to proceed based on their terms and local laws.

Through the use of artificial intelligence, including natural language processing, machine learning and computer vision, AntiToxin can identify the intent of behavior to determine if it’s malicious. For example, the company tells me it can distinguish between a married couple consensually exchanging nude photos on a messaging app versus an adult sending inappropriate imagery to a child. It also can determine if two teens are swearing at each other playfully as they compete in a video game or if one is verbally harassing the other. The company says that beats using static dictionary blacklists of forbidden words.

AntiToxin is under NDA, so it can’t reveal its client list, but claims recent media attention and looming regulation regarding online abuse has ramped up inbound interest. Eventually the company hopes to build better predictive software to identify users who’ve shown signs of increasingly worrisome behavior so their activity can be more closely moderated before they lash out. And it’s trying to build a “safety graph” that will help it identify bad actors across services so they can be broadly deplatformed similar to the way Facebook uses data on Instagram abuse to police connected WhatsApp accounts.

“We’re approaching this very human problem like a cybersecurity company, that is, everything is a Zero-Day for us” says Levkowitz, discussing how AntiToxin indexes new patterns of abuse it can then search for across its clients. “We’ve got intelligence unit alums, PhDs and data scientists creating anti-toxicity detection algorithms that the world is yearning for.” AntiToxin is already having an impact. TechCrunch commissioned it to investigate a tip about child sexual imagery on Microsoft’s Bing search engine. We discovered Bing was actually recommending child abuse image results to people who’d conducted innocent searches, leading Bing to make changes to clean up its act.

AntiToxin identified publicly listed WhatsApp Groups where child sexual abuse imagery was exchanged

One major threat to AntiToxin’s business is what’s often seen as boosting online safety: end-to-end encryption. AntiToxin claims that when companies like Facebook expand encryption, they’re purposefully hiding problematic content from themselves so they don’t have to police it.

Facebook claims it still can use metadata about connections on its already encrypted WhatApp network to suspend those who violate its policy. But AntiToxin provided research to TechCrunch for an investigation that found child sexual abuse imagery sharing groups were openly accessible and discoverable on WhatsApp — in part because encryption made them hard to hunt down for WhatsApp’s automated systems.

AntiToxin believes abuse would proliferate if encryption becomes a wider trend, and it claims the harm that it  causes outweighs fears about companies or governments surveiling unencrypted transmissions. It’s a tough call. Political dissidents, whistleblowers and perhaps the whole concept of civil liberty rely on encryption. But parents may see sex offenders and bullies as a more dire concern that’s reinforced by platforms having no idea what people are saying inside chat threads.

What seems clear is that the status quo has got to go. Shaming, exclusion, sexism, grooming, impersonation and threats of violence have started to feel commonplace. A culture of cruelty breeds more cruelty. Tech’s success stories are being marred by horror stories from their users. Paying to pick up new weapons in the fight against toxicity seems like a reasonable investment to demand.

Microsoft and Oracle link up their clouds

Microsoft and Oracle announced a new alliance today that will see the two companies directly connect their clouds over a direct network connection so that their users can then move workloads and data seamlessly between the two. This alliance goes a bit beyond just basic direct connectivity and also includes identity interoperability.

This kind of alliance is relatively unusual between what are essentially competing clouds, but while Oracle wants to be seen as a major player in this space, it also realizes that it isn’t likely to get to the size of an AWS, Azure or Google Cloud anytime soon. For Oracle, this alliance means that its users can run services like the Oracle E-Business Suite and Oracle JD Edwards on Azure while still using an Oracle database in the Oracle cloud, for example. With that, Microsoft still gets to run the workloads and Oracle gets to do what it does best (though Azure users will also continue be able to run their Oracle databases in the Azure cloud, too).

“The Oracle Cloud offers a complete suite of integrated applications for sales, service, marketing, human resources, finance, supply chain and manufacturing, plus highly automated and secure Generation 2 infrastructure featuring the Oracle Autonomous Database,” said Don Johnson, executive vice president, Oracle Cloud Infrastructure (OCI), in today’s announcement. “Oracle and Microsoft have served enterprise customer needs for decades. With this alliance, our joint customers can migrate their entire set of existing applications to the cloud without having to re-architect anything, preserving the large investments they have already made.”

For now, the direct interconnect between the two clouds is limited to Azure US East and Oracle’s Ashburn data center. The two companies plan to expand this alliance to other regions in the future, though they remain mum on the details. It’ll support applications like JD Edwards EnterpriseOne, E-Business Suite, PeopleSoft, Oracle Retail and Hyperion on Azure, in combination with Oracle databases like RAC, Exadata and the Oracle Autonomous Database running in the Oracle Cloud.

“As the cloud of choice for the enterprise, with over 95% of the Fortune 500 using Azure, we have always been first and foremost focused on helping our customers thrive on their digital transformation journeys,” said Scott Guthrie, executive vice president of Microsoft’s Cloud and AI division. “With Oracle’s enterprise expertise, this alliance is a natural choice for us as we help our joint customers accelerate the migration of enterprise applications and databases to the public cloud.”

Today’s announcement also fits within a wider trend at Microsoft, which has recently started building a number of alliances with other large enterprise players, including its open data alliance with SAP and Adobe, as well as a somewhat unorthodox gaming partnership with Sony.

How Kubernetes came to rule the world

Open source has become the de facto standard for building the software that underpins the complex infrastructure that runs everything from your favorite mobile apps to your company’s barely usable expense tool. Over the course of the last few years, a lot of new software is being deployed on top of Kubernetes, the tool for managing large server clusters running containers that Google open-sourced five years ago.

Today, Kubernetes is the fastest growing open-source project, and earlier this month, the bi-annual KubeCon+CloudNativeCon conference attracted almost 8,000 developers to sunny Barcelona, Spain, making the event the largest open-source conference in Europe yet.

To talk about how Kubernetes came to be, I sat down with Craig McLuckie, one of the co-founders of Kubernetes at Google (who then went on to his own startup, Heptio, which he sold to VMware); Tim Hockin, another Googler who was an early member on the project and was also on Google’s Borg team; and Gabe Monroy, who co-founded Deis, one of the first successful Kubernetes startups, and then sold it to Microsoft, where he is now the lead PM for Azure Container Compute (and often the public face of Microsoft’s efforts in this area).

Google’s cloud and the rise of containers

To set the stage a bit, it’s worth remembering where Google Cloud and container management were five years ago.

Google to acquire cloud migration startup Velostrata

Google announced today it was going to acquire Israeli cloud migration startup, Velostrata. The companies did not share the purchase price.

Velostrata helps companies migrate from on-premises datacenters to the cloud, a common requirement today as companies try to shift more workloads to the cloud. It’s not always a simple matter though to transfer those legacy applications, and that’s where Velostrata could help Google Cloud customers.

As I wrote in 2014 about their debut, the startup figured out a way to decouple storage and compute and that had wide usage and appeal. “The company has a sophisticated hybrid cloud solution that decouples storage from compute resources, leaving the storage in place on-premises while running a virtual machine in the cloud,” I wrote at the time.

But more than that, in a hybrid world where customer applications and data can live in the public cloud or on prem (or a combination), Velostrata gives them control to move and adapt the workloads as needed and prepare it for delivery on cloud virtual machines.

“This means [customers] can easily and quickly migrate virtual machine-based workloads like large databases, enterprise applications, DevOps, and large batch processing to and from the cloud,” Eyal Manor VP of engineering at Google Cloud wrote in the blog post announcing the acquisition.

This of course takes Velostrata from being a general purpose cloud migration tool to one tuned specifically for Google Cloud in the future, but one that gives Google a valuable tool in its battle to gain cloud marketshare.

In the past, Google Cloud head Diane Greene has talked about the business opportunities they have seen in simply “lifting and shifting” data loads to the cloud. This acquisition gives them a key service to help customers who want to do that with the Google Cloud.

Velostrata was founded in 2014. It has raised over $31 million from investors including Intel Capital and Norwest Venture partners.

Intel Capital pumps $72M into AI, IoT, cloud and silicon startups, $115M invested so far in 2018

Intel Capital, the investment arm of the computer processor giant, is today announcing $72 million in funding for the 12 newest startups to enter its portfolio, bringing the total invested so far this year to $115 million. Announced at the company’s global summit currently underway in southern California, investments in this latest tranche cover artificial intelligence, Internet of Things, cloud services, and silicon. A detailed list is below.

Other notable news from the event included a new deal between the NBA and Intel Capital to work on more collaborations in delivering sports content, an area where Intel has already been working for years; and the news that Intel has now invested $125 million in startups headed by minorities, women and other under-represented groups as part of its Diversity Initiative. The mark was reached 2.5 years ahead of schedule, it said.

The range of categories of the startups that Intel is investing in is a mark of how the company continues to back ideas that it views as central to its future business — and specifically where it hopes its processors will play a central role, such as AI, IoT and cloud. Investing in silicon startups, meanwhile, is a sign of how Intel is also focusing on businesses that are working in an area that’s close to the company’s own DNA.

It’s hasn’t been a completely smooth road. Intel became a huge presence in the world of IT and early rise of desktop and laptop computers many years ago with its advances in PC processors, but its fortunes changed with the shift to mobile, which saw the emergence of a new wave of chip companies and designs for smaller and faster devices. Mobile is area that Intel itself acknowledged it largely missed out.

Later years have seen still other issues hit the company. For example, the Spectre security flaw (fixes for which are still being rolled out). And some of the business lines where Intel was hoping to make a mark have not panned out as it hoped they would. Just last month, Intel shut down development of its Vaunt smart glasses and reportedly the entirety of its new devices group.

The investments that Intel Capital makes, in contrast, are a fresher and more optimistic aspect of the company’s operations: they represent hopes and possibilities that still have everything to play for. And given that, on balance, things like AI and cloud services still have a long way to go before being truly ubiquitous, there remains a lot of opportunity for Intel.

“These innovative companies reflect Intel’s strategic focus as a data leader,” said Wendell Brooks, Intel senior vice president and president of Intel Capital, in a statement. “They’re helping shape the future of artificial intelligence, the future of the cloud and the Internet of Things, and the future of silicon. These are critical areas of technology as the world becomes increasingly connected and smart.”

Intel Capital since 1991 has put $12.3 billion into 1,530 companies covering everything from autonomous driving to virtual reality and e-commerce and says that more than 660 of these startups have gone public or been acquired. Intel has organised its investment announcements thematically before: last October, it announced $60 million in 15 big data startups.

Here’s a rundown of the investments getting announced today. Unless otherwise noted, the startups are based around Silicon Valley:

Avaamo is a deep learning startup that builds conversational interfaces based on neural networks to address problems in enterprises — part of the wave of startups that are focusing on non-consumer conversational AI solutions.

Fictiv has built a “virtual manufacturing platform” to design, develop and deliver physical products, linking companies that want to build products with manufacturers who can help them. This is a problem that has foxed many a startup (notable failures have included Factorli out of Las Vegas), and it will be interesting to see if newer advances will make the challenges here surmoutable.

Gamalon from Cambridge, MA, says it has built a machine learning platform to “teaches computers actual ideas.” Its so-called Idea Learning technology is able to order free-form data like chat transcripts and surveys into something that a computer can read, making the data more actionable. More from Ron here.

Reconova out of Xiamen, China is focusing on problems in visual perception in areas like retail, smart home and intelligent security.

Syntiant is an Irvine, CA-based AI semiconductor company that is working on ways of placing neural decision making on chips themselves to speed up processing and reduce battery consumption — a key challenge as computing devices move more information to the cloud and keep getting smaller. Target devices include mobile phones, wearable devices, smart sensors and drones.

Alauda out of China is a container-based cloud services provider focusing on enterprise platform-as-a-service solutions. “Alauda serves organizations undergoing digital transformation across a number of industries, including financial services, manufacturing, aviation, energy and automotive,” Intel said.

CloudGenix is a software-defined wide-area network startup, addressing an important area as more businesses take their networks and data into the cloud and look for cost savings. Intel says its customers use its broadband solutions to run unified communications and data center applications to remote offices, cutting costs by 70 percent and seeing big speed and reliability improvements.

Espressif Systems, also based in China, is a fabless semiconductor company, with its system-on-a-chip focused on IoT solutions.

VenueNext is a “smart venue” platform to deliver various services to visitors’ smartphones, providing analytics and more to the facility providing the services. Hospitals, sports stadiums and others are among its customers.

Lyncean Technologies is nearly 18 years old (founded in 2001) and has been working on something called Compact Light Source (CLS), which Intel describes as a miniature synchrotron X-ray source, which can be used for either extremely detailed large X-rays or very microscopic ones. This has both medical and security applications, making it a very timely business.

Movellus “develops semiconductor technologies that enable digital tools to automatically create and implement functionality previously achievable only with custom analog design.” Its main focus is creating more efficient approaches to designing analog circuits for systems on chips, needed for AI and other applications.

SiFive makes “market-ready processor core IP based on the RISC-V instruction set architecture,” founded by the inventors of RISC-V and led by a team of industry veterans.

Microsoft and Red Hat now offer a jointly managed OpenShift service on Azure

Microsoft and Red Hat are deepening their existing alliance around cloud computing. The two companies will now offer a managed version of OpenShift, Red Hat’s container application platform, on Microsoft Azure. This service will be jointly developed and managed by Microsoft and Red Hat and will be integrated into the overall Azure experience.

Red Hat OpenShift on Azure is meant to make it easier for enterprises to create hybrid container solutions that can span their on-premise networks and the cloud. That’ll give these companies the flexibility to move workloads around as needed and will give those companies that have bet on OpenShift the option to move their workloads close to the rest of Azure’s managed services like Cosmos DB or Microsoft’s suite of machine learning tools.

Microsoft’s Brendan Burns, one of the co-creators of Kubernetes, told me that the companies decided that this shouldn’t just be a service that runs on top of Azure and consumes the Azure APIs. Instead, the companies made the decision to build a native integration of OpenShift into Azure — and specifically the Azure Portal. “This is a first in class fully enterprise-supported application platform for containers,” he said. “This is going to be an experience where enterprises can have all the experience and support they expect.”

Red Hat VP for business development and architecture Mike Ferris echoed this and added that his company is seeing a lot of demand for managed services around containers.

Watch the Microsoft Build 2018 keynote live right here

Microsoft is holding its annual Build developer conference this week and the company is kicking off the event with its inaugural keynote this morning. You can watch the live stream right here.

The keynote is scheduled to start at 8:30 am on the West Coast, 11:30 am on the East Coast, 4:30 pm in London and 5:30 pm in Paris.

This is a developer conference, so you shouldn’t expect new hardware devices. Build is usually focused on all things Windows 10, Azure and beyond. It’s a great way to see where Microsoft is heading. We have a team on the ground, so you can follow all of our coverage on TechCrunch.

Kubernetes stands at an important inflection point

Last week at KubeCon and CloudNativeCon in Copenhagen, we saw an open source community coming together, full of vim and vigor and radiating positive energy as it recognized its growing clout in the enterprise world. Kubernetes, which came out of Google just a few years ago, has gained acceptance and popularity astonishingly rapidly — and that has raised both a sense of possibility and a boat load of questions.

At this year’s European version of the conference, the community seemed to be coming to grips with that rapid growth as large corporate organizations like Red Hat, IBM, Google, AWS and VMware all came together with developers and startups trying to figure out exactly what they had here with this new thing they found.

The project has been gaining acceptance as the defacto container orchestration tool, and as that happened, it was no longer about simply getting a project off the ground and proving that it could work in production. It now required a greater level of tooling and maturity that previously wasn’t necessary because it was simply too soon.

As this has happened, the various members who make up this growing group of users, need to figure out, mostly on the fly, how to make it all work when it is no longer just a couple of developers and a laptop. There are now big boy and big girl implementations and they require a new level of sophistication to make them work.

Against this backdrop, we saw a project that appeared to be at an inflection point. Much like a startup that realizes it actually achieved the product-market fit it had hypothesized, the Kubernetes community has to figure out how to take this to the next level — and that reality presents some serious challenges and enormous opportunities.

A community in transition

The Kubernetes project falls under the auspices of the Cloud Native Computing Foundation (or CNCF for short). Consider that at the opening keynote, CNCF director Dan Kohn was brimming with enthusiasm, proudly rattling off numbers to a packed audience, showing the enormous growth of the project.

Photo: Ron Miller

If you wanted proof of Kubernetes’ (and by extension cloud native computing’s) rapid ascension, consider that the attendance at KubeCon in Copenhagen last week numbered 4300 registered participants, triple the attendance in Berlin just last year.

The hotel and conference center were buzzing with conversation. Every corner and hallway, every bar stool in the hotel’s open lobby bar, at breakfast in the large breakfast room, by the many coffee machines scattered throughout the venue, and even throughout the city, people chatted, debated and discussed Kubernetes and the energy was palpable.

David Aronchick, who now runs the open source Kubeflow Kubernetes machine learning project at Google, was running Kubernetes in the early days (way back in 2015) and he was certainly surprised to see how big it has become in such a short time.

“I couldn’t have predicted it would be like this. I joined in January, 2015 and took on project management for Google Kubernetes. I was stunned at the pent up demand for this kind of thing,” he said.

Growing up

Yet there was great demand, and with each leap forward and each new level of maturity came a new set of problems to solve, which in turn has created opportunities for new services and startups to fill in the many gaps. As Aparna Sinha, who is the Kubernetes group product manager at Google, said in her conference keynote, enterprise companies want some level of certainty that earlier adopters were willing to forego to take a plunge into the new and exciting world of containers.

Photo: Cloud Native Computing Foundation

As she pointed out, for others to be pulled along and for this to truly reach another level of adoption, it’s going to require some enterprise-level features and that includes security, a higher level of application tooling and a better overall application development experience. All these types of features are coming, whether from Google or from the myriad of service providers who have popped up around the project to make it easier to build, deliver and manage Kubernetes applications.

Sinha says that one of the reasons the project has been able to take off as quickly as it has, is that its roots lie in a container orchestration tool called Borg, which the company has been using internally for years. While that evolved into what we know today as Kubernetes, it certainly required some significant repackaging to work outside of Google. Yet that early refinement at Google gave it an enormous head start over an average open source project — which could account for its meteoric rise.

“When you take something so well established and proven in a global environment like Google and put it out there, it’s not just like any open source project invented from scratch when there isn’t much known and things are being developed in real time,” she said.

For every action

One thing everyone seemed to recognize at KubeCon was that in spite of the head start and early successes, there remains much work to be done, many issues to resolve. The companies using it today mostly still fall under the early adopter moniker. This remains true even though there are some full blown enterprise implementations like CERN, the European physics organization, which has spun up 210 Kubernetes clusters or JD.com, the Chinese Internet shopping giant, which has 20K servers running Kubernetes with the largest cluster consisting of over 5000 servers. Still, it’s fair to say that most companies aren’t that far along yet.

Photo: Ron Miller

But the strength of an enthusiastic open source community like Kubernetes and cloud native computing in general, means that there are companies, some new and some established, trying to solve these problems, and the multitude of new ones that seem to pop up with each new milestone and each solved issue.

As Abbie Kearns, who runs another open source project, the Cloud Foundry Foundation, put it in her keynote, part of the beauty of open source is all those eyeballs on it to solve the scads of problems that are inevitably going to pop up as projects expand beyond their initial scope.

“Open source gives us the opportunity to do things we could never do on our own. Diversity of thought and participation is what makes open source so powerful and so innovative,” she said.

It’s worth noting that several speakers pointed out that diversity of thought also required actual diversity of membership to truly expand ideas to other ways of thinking and other life experiences. That too remains a challenge, as it does in technology and society at large.

In spite of this, Kubernetes has grown and developed rapidly, while benefiting from a community which so enthusiastically supports it. The challenge ahead is to take that early enthusiasm and translate it into more actual business use cases. That is the inflection point where the project finds itself, and the question is will it be able to take that next step toward broader adoption or reach a peak and fall back.

Google Kubeflow, machine learning for Kubernetes, begins to take shape

Ever since Google created Kubernetes as an open source container orchestration tool, it has seen it blossom in ways it might never have imagined. As the project gains in popularity, we are seeing many adjunct programs develop. Today, Google announced the release of version 0.1 of the Kubeflow open source tool, which is designed to bring machine learning to Kubernetes containers.

While Google has long since moved Kubernetes into the Cloud Native Computing Foundation, it continues to be actively involved, and Kubeflow is one manifestation of that. The project was only first announced at the end of last year at Kubecon in Austin, but it is beginning to gain some momentum.

David Aronchick, who runs Kubeflow for Google, led the Kubernetes team for 2.5 years before moving to Kubeflow. He says the idea behind the project is to enable data scientists to take advantage of running machine learning jobs on Kubernetes clusters. Kubeflow lets machine learning teams take existing jobs and simply attach them to a cluster without a lot of adapting.

With today’s announcement, the project begins to move ahead, and according to a blog post announcing the milestone, brings a new level of stability, while adding a slew of new features that the community has been requesting. These include Jupyter Hub for collaborative and interactive training on machine learning jobs and Tensorflow training and hosting support, among other elements.

Aronchick emphasizes that as an open source project you can bring whatever tools you like, and you are not limited to Tensorflow, despite the fact that this early version release does include support for Google’s machine learning tools. You can expect additional tool support as the project develops further.

In just over 4 months since the original announcement, the community has grown quickly with over 70 contributors, over 20 contributing organizations along with over 700 commits in 15 repositories. You can expect the next version, 0.2, sometime this summer.

Cisco is acquiring business intelligence startup Accompany for $270M

Cisco just announced an agreement to acquire Accompany, which uses artificial intelligence to build databases of people and relationships at companies.

Founder and CEO Amy Chang has compared the product to a digital chief of staff or personal assistant, giving executives the context they need before conversations and meetings. Cisco plans to incorporate Accompany technology into its collaboration products, for example by introducing company and individual profiles into Webex meetings.

Cisco says it will pay $270 million in cash and stock in the deal.

The company probably didn’t have to search too hard to find Accompany, since Chang (who previously served as the head of product for Google’s ad measurement and reporting) has been on Cisco’s board of directors since October 2016. As part of the transaction, she’s resigning from the board, effective immediately.

In addition, Chang will be taking over the company’s Collaboration Technology Group. Rowan Trollope, who currently leads the collaboration group, is departing to become CEO at cloud software company Five9.

“Amy has proven to be an effective and innovative leader through her years as an entrepreneur, an engineer, and CEO, and I couldn’t be more pleased to have her and the Accompany team join Cisco,” said Cisco chairman and CEO Chuck Robbins in the announcement. “Together, we have a tremendous opportunity to further enhance AI and machine learning capabilities in our collaboration portfolio and continue to create amazing collaboration experiences for customers.”

According to Crunchbase, Accompany has raised around $40 million in funding from investors including CRV, Cowboy Ventures, Iconiq Capital and Ignition Partners.

Cisco also announced today that it’s selling off some of its NDS video assets.