Personal blog of Yzmir Ramirez

APIs are the grease turning the gears and wheels for many organizations’ IT systems today, but as APIs grow in number and use, tracking how they work (or don’t work) together can become complex and potentially critical if something goes awry. Now, a startup that has built an innovative way to help with this is announcing some funding after getting traction with big enterprises adopting its approach.

Tyk, which has built a way for users to access and manage multiple internal enterprise APIs through a universal interface by way of GraphQL, has picked up $35 million, an investment that it will be using both for hiring and to continue enhancing and expanding the tools that it provides to users. Tyk has coined a term describing its approach to managing APIs and the data they produce — “universal data graph” — and today its tools are being used to manage APIs by some 10,000 businesses, including large enterprises like Starbucks, Societe Generale and Domino’s.

Scottish Equity Partners led the round, with participation also from MMC Ventures — its sole previous investor from a round in 2019 after boostrapping for its first five years. The startup is based out of London but works in a very distributed way — one of the co-founders is living in New Zealand currently — and it will be hiring and growing based on that principle, too. It has raised just over $40 million to date.

Tyk (pronounced like “tyke”, meaning small/lively child) got its start as an open source side project first for co-founder Martin Buhr, who is now the company’s CEO, while he was working elsewhere, as a “load testing thing,” in his words.

The shifts in IT toward service-oriented architectures, and building and using APIs to connect internal apps, led him to rethink the code and consider how it could be used to control APIs. Added to that was the fact that as far as Buhr could see, the API management platforms that were in the market at the time — some of the big names today include Kong, Apigee (now a part of Google), 3scale (now a part of RedHat and thus IBM), MuleSoft (now a part of Salesforce) — were not as flexible as his needs were. “So I built my own,” he said.

It was built as an open source tool, and some engineers at other companies started to use it. As it got more attention, some of the bigger companies interested in using it started to ask why he wasn’t charging for anything — a sure sign as any that there was probably a business to be built here, and more credibility to come if he charged for it.

“So we made the gateway open source, and the management part went into a licensing model,” he said. And Tyk was born as a startup co-founded with James Hirst, who is now the COO, who worked with Buhr at a digital agency some years before.

The key motivation behind building Tyk has stayed as its unique selling point for customers working in increasingly complex environments.

“What sparked interest in Tyk was that companies were unhappy with API management as it exists today,” Buhr noted, citing architectures using multiple clouds and multiple containers, creating more complexity that needed better management. “It was just the right time when containerization, Kubernetes and microservices were on the rise… The way we approach the multi-data and multi-vendor cloud model is super flexible and resilient to partitions, in a way that others have not been able to do.”

“You engage developers and deliver real value and it’s up to them to make the choice,” added Hirst. “We are responding to a clear shift in the market.”

One of the next frontiers that Tyk will tackle will be what happens within the management layer, specifically when there are potential conflicts with APIs.

“When a team using a microservice makes a breaking change, we want to bring that up and report that to the system,” Buhr said. “The plan is to flag the issue and test against it, and be able to say that a schema won’t work, and to identify why.”

Even before that is rolled out, though, Tyk’s customer list and its growth speak to a business on the cusp of a lot more.

“Martin and James have built a world-class team and the addition of this new capital will enable Tyk to accelerate the growth of its API management platform, particularly around the GraphQL focused Universal Data Graph product that launched earlier this year,” said Martin Brennan, a director at SEP, in a statement. “We are pleased to be supporting the team to achieve their global ambitions.”

Keith Davidson, a partner at SEP, is joining the Tyk board as a non-executive director with this round.

More money for the now very buzzy business of reshaping how people work: Worksome is announcing it recently closed a $13 million Series A funding round for its “freelance talent platform” — after racking up 10x growth in revenue since January 2020, just before the COVID-19 pandemic sparked a remote working boom.

The 2017 founded startup, which has a couple of ex-Googlers in its leadership team, has built a platform to connect freelancers looking for professional roles with employers needing tools to find and manage freelancer talent.

It says it’s seeing traction with large enterprise customers that have traditionally used Managed Service Providers (MSPs) to manage and pay external workforces — and views employment agency giants like Randstad, Adecco and Manpower as ripe targets for disruption.

“Most multinational enterprises manage flexible workers using legacy MSPs,” says CEO and co-founder Morten Petersen (one of the Xooglers). “These largely analogue businesses manage complex compliance and processes around hiring and managing freelance workforces with handheld processes and outdated technology that is not built for managing fluid workforces. Worksome tackles this industry head on with a better, faster and simpler solution to manage large freelancer and contractor workforces.”

Worksome focuses on helping medium/large companies — who are working with at least 20+ freelancers at a time — fill vacancies within teams rather than helping companies outsource projects, per Petersen, who suggests the latter is the focus for the majority of freelancer platforms.

“Worksome helps [companies] onboard people who will provide necessary skills and will be integral to longer-term business operations. It makes matches between companies and skilled freelancers, which the businesses go on to trust, form relationships with and come back to time and time again,” he goes on.

“When companies hire dozens or hundreds of freelancers at one time, processes can get very complicated,” he adds, arguing that on compliance and payments Worksome “takes on a much greater responsibility than other freelancing platforms to make big hires easier”.

The startup also says it’s concerned with looking out for (and looking after) its freelancer talent pool — saying it wants to create “a world of meaningful work” on its platform, and ensure freelancers are paid fairly and competitively. (And also that they are paid faster than they otherwise might be, given it takes care of their payroll so they don’t have to chase payments from employers.)

The business started life in Copenhagen — and its Series A has a distinctly Nordic flavor, with investment coming from the Danish business angel and investor on the local version of the Dragons’ Den TV program Løvens Hule; the former Minister for Higher Education and Science, Tommy Ahlers; and family home manufacturer Lind & Risør.

It had raised just under $6M prior to thus round, per Crunchbase, and also counts some (unnamed) Google executives among its earlier investors.

Freelancer platforms (and marketplaces) aren’t new, of course. There are also an increasing number of players in this space — buoyed by a new flush of VC dollars chasing the ‘future of work’, whatever hybrid home-office flexible shape that might take. So Worksome is by no means alone in offering tech tools to streamline the interface between freelancers and businesses.

A few others that spring to mind include Lystable (now Kalo), Malt, Fiverr — or, for techie job matching specifically, the likes of HackerRank — plus, on the blue collar work side, Jobandtalent. There’s also a growing number of startups focusing on helping freelancer teams specifically (e.g. Collective), so there’s a trend towards increasing specialism.

Worksome says it differentiates vs other players (legacy and startups) by combining services like tax compliance, background and ID checks and handling payroll and other admin with an AI powered platform that matches talent to projects.

Although it’s not the only startup offering to do the back-office admin/payroll piece, either, nor the only one using AI to match skilled professionals to projects. But it claims it’s going further than rival ‘freelancer-as-a-service’ platforms — saying it wants to “address the entire value chain” (aka: “everything from the hiring of freelance talent to onboarding and payment”).

Worksome has 550 active clients (i.e. employers in the market for freelancer talent) at this stage; and has accepted 30,000 freelancers into its marketplace so far.

Its current talent pool can take on work across 12 categories, and collectively offers more than 39,000 unique skills, per Petersen.

The biggest categories of freelancer talent on the platform are in Software and IT; Design and Creative Work; Finance and Management Consulting; plus “a long tail of niche skills” within engineering and pharmaceuticals.

While its largest customers are found in the creative industries, tech and IT, pharma and consumer goods. And its biggest markets are the U.K. and U.S.

“We are currently trailing at +20,000 yearly placements,” says Petersen, adding: “The average yearly spend per client is $300,000.”

Worksome says the Series A funding will go on stoking growth by investing in marketing. It also plans to spend on product dev and on building out its team globally (it also has offices in London and New York).

Over the past 12 months the startup doubled the size of its team to 50 — and wants to do so again within 12 months so it can ramp up its enterprise client base in the U.S., U.K. and euro-zone.

“Yes, there are a lot of freelancer platforms out there but a lot of these don’t appreciate that hiring is only the tip of the iceberg when it comes to reducing the friction in working with freelancers,” argues Petersen. “Of the time that goes into hiring, managing and paying freelancers, 75% is currently spent on admin such as timesheet approvals, invoicing and compliance checks, leaving only a tiny fraction of time to actually finding talent.”

Worksome woos employers with a “one-click-hire” offer — touting its ability to find and hire freelancers “within seconds”.

If hiring a stranger in seconds sounds ill-advised, Worksome greases this external employment transaction by taking care of vetting the freelancers itself (including carrying out background checks; and using proprietary technology to asses freelancers’ skills and suitability for its marketplace).

“We have a two-step vetting process to ensure that we only allow the best freelance talent onto the Worksome platform,” Petersen tells TechCrunch. “For step one, an inhouse-built robot assesses our freelancer applicants. It analyses their skillset, social media profiles, profile completeness and hourly or daily rate, as well as their CV and work history, to decide whether each person is a good fit for Worksome.

“For step two, our team of talent specialists manually review and decline or approve the freelancers that pass through step one with a score of 85% or more. We have just approved our 30,000th freelancer and will be able to both scale and improve our vetting procedure as we grow.”

A majority of freelancer applicants fail Worksome’s proprietary vetting processes. This is clear because it says it has received 80,000 applicants so far — but only approved 30,000.

That raises interesting questions about how it’s making decisions on who is (and isn’t) an ‘appropriate fit’ for its talent marketplace.

It says its candidate assessing “robot” looks at “whether freelancers can demonstrate the skillset, matching work history, industry experience and profile depth” deemed necessary to meet its quality criteria — giving the example that it would not accept a freelancer who says they can lead complex IT infrastructure projects if they do not have evidence of relevant work, education and skills.

On the AI freelancer-to-project matching side, Worksome says its technology aims to match freelancers “who have the highest likelihood of completing a job with high satisfaction, based on their work-history, and performance and skills used on previous jobs”.

“This creates a feedback loop that… ensure that both clients and freelancers are matched with great people and great work,” is its circular suggestion when we ask about this.

But it also emphasizes that its AI is not making hiring decisions on its own — and is only ever supporting humans in making a choice. (An interesting caveat since existing EU data protection rules, under Article 22 of the GDPR, provide for a right for individuals to object to automated decision making if significant decisions are being taken without meaningful human interaction.) 

Using automation technologies (like AI) to make assessments that determine whether a person gains access to employment opportunities or doesn’t can certainly risk scaled discrimination. So the devil really is in the detail of how these algorithmic assessments are done.

That’s why such uses of technology are set to face close regulatory scrutiny in the European Union — under incoming rules on ‘high risk’ users of artificial intelligence — including the use of AI to match candidates to jobs.

The EU’s current legislative proposals in this area specifically categorize “employment, workers management and access to self-employment” as a high risk use of AI, meaning applications like Worksome are likely to face some of the highest levels of regulatory supervision in the future.

Nonetheless, Worksome is bullish when we ask about the risks associated with using AI as an intermediary for employment opportunities.

“We utilise fairly advanced matching algorithms to very effectively shortlist candidates for a role based solely on objective criteria, rinsed from human bias,” claims Petersen. “Our algorithms don’t take into account gender, ethnicity, name of educational institutions or other aspects that are usually connected to human bias.”

“AI has immense potential in solving major industry challenges such as recruitment bias, low worker mobility and low access to digital skills among small to medium sized businesses. We are firm believers that technology should be utilized to remove human bias’ from any hiring process,” he goes on, adding: “Our tech was built to this very purpose from the beginning, and the new proposed legislation has the potential to serve as a validator for the hard work we’ve put into this.

“The obvious potential downside would be if new legislation would limit innovation by making it harder for startups to experiment with new technologies. As always, legislation like this will impact the Davids more than the Goliaths, even though the intentions may have been the opposite.”

Zooming back out to consider the pandemic-fuelled remote working boom, Worksome confirms that most of the projects for which it supplied freelancers last year were conducted remotely.

“We are currently seeing a slow shift back towards a combination of remote and onsite work and expect this combination to stick amongst most of our clients,” Petersen goes on. “Whenever we are in uncertain economic times, we see a rise in the number of freelancers that companies are using. However, this trend is dwarfed by a much larger overall trend towards flexible work, which drives the real shift in the market. This shift has been accelerated by COVID-19 but has been underway for many years.

“While remote work has unlocked an enormous potential for accessing talent everywhere, 70% of the executives expect to use more temporary workers and contractors onsite than they did before COVID-19, according to a recent McKinsey study. This shows that businesses really value the flexibility in using an on-demand workforce of highly skilled specialists that can interact directly with their own teams.”

Asked whether it’s expecting growth in freelancing to sustain even after we (hopefully) move beyond the pandemic — including if there’s a return to physical offices — Petersen suggests the underlying trend is for businesses to need increased flexibility, regardless of the exact blend of full-time and freelancer staff. So platforms like Worksome are confidently poised to keep growing.

“When you ask business leaders, 90% believe that shifting their talent model to a blend of full-time and freelancers can give a future competitive advantage (Source: BCG),” he says. “We see two major trends driving this sentiment; access to talent, and building an agile and flexible organization. This has become all the more true during the pandemic — a high degree of flexibility is allowing organisations to better navigate both the initial phase of the pandemic as well the current pick up of business activity.

“With the amount of change that we’re currently seeing in the world, and with businesses are constantly re-inventing themselves, the access to highly skilled and flexible talent is absolutely essential — now, in the next 5 years, and beyond.”

As Nvidia continues to work through its deal to acquire Arm from SoftBank for $40 billion, the computing giant is making another big move to lay out its commitment to investing in U.K. technology. Today the company announced plans to develop Cambridge-1, a new £40 million AI supercomputer that will be used for research in the health industry in the country, the first supercomputer built by Nvidia specifically for external research access, it said.

Nvidia said it is already working with GSK, AstraZeneca, London hospitals Guy’s and St Thomas’ NHS Foundation Trust, King’s College London and Oxford Nanopore to use the Cambridge-1. The supercomputer is due to come online by the end of the year and will be the company’s second supercomputer in the country. The first is already in development at the company’s AI Center of Excellence in Cambridge, and the plan is to add more supercomputers over time.

The growing role of AI has underscored an interesting crossroads in medical research. On one hand, leading researchers all acknowledge the role it will be playing in their work. On the other, none of them (nor their institutions) have the resources to meet that demand on their own. That’s driving them all to get involved much more deeply with big tech companies like Google, Microsoft and, in this case, Nvidia, to carry out work.

Alongside the supercomputer news, Nvidia is making a second announcement in the area of healthcare in the U.K.: it has inked a partnership with GSK, which has established an AI hub in London, to build AI-based computational processes that will be used in drug vaccine and discovery — an especially timely piece of news, given that we are in a global health pandemic and all drug makers and researchers are on the hunt to understand more about, and build vaccines for, COVID-19.

The news is coinciding with Nvidia’s industry event, the GPU Technology Conference.

“Tackling the world’s most pressing challenges in healthcare requires massively powerful computing resources to harness the capabilities of AI,” said Jensen Huang, founder and CEO of Nvidia, in his keynote at the event. “The Cambridge-1 supercomputer will serve as a hub of innovation for the U.K., and further the groundbreaking work being done by the nation’s researchers in critical healthcare and drug discovery.”

The company plans to dedicate Cambridge-1 resources in four areas, it said: industry research, in particular joint research on projects that exceed the resources of any single institution; university granted compute time; health-focused AI startups; and education for future AI practitioners. It’s already building specific applications in areas, like the drug discovery work it’s doing with GSK, that will be run on the machine.

The Cambridge-1 will be built on Nvidia’s DGX SuperPOD system, which can process 400 petaflops of AI performance and 8 petaflops of Linpack performance. Nvidia said this will rank it as the 29th fastest supercomputer in the world.

“Number 29” doesn’t sound very groundbreaking, but there are other reasons why the announcement is significant.

For starters, it underscores how the supercomputing market — while still not a mass-market enterprise — is increasingly developing more focus around specific areas of research and industries. In this case, it underscores how health research has become more complex, and how applications of artificial intelligence have both spurred that complexity but, in the case of building stronger computing power, also provides a better route — some might say one of the only viable routes in the most complex of cases — to medical breakthroughs and discoveries.

It’s also notable that the effort is being forged in the U.K. Nvidia’s deal to buy Arm has seen some resistance in the market — with one group leading a campaign to stop the sale and take Arm independent — but this latest announcement underscores that the company is already involved pretty deeply in the U.K. market, bolstering Nvidia’s case to double down even further. (Yes, chip reference designs and building supercomputers are different enterprises, but the argument for Nvidia is one of commitment and presence.)

“AI and machine learning are like a new microscope that will help scientists to see things that they couldn’t see otherwise,” said Dr. Hal Barron, chief scientific officer and president, R&D, GSK, in a statement. “NVIDIA’s investment in computing, combined with the power of deep learning, will enable solutions to some of the life sciences industry’s greatest challenges and help us continue to deliver transformational medicines and vaccines to patients. Together with GSK’s new AI lab in London, I am delighted that these advanced technologies will now be available to help the U.K.’s outstanding scientists.”

“The use of big data, supercomputing and artificial intelligence have the potential to transform research and development; from target identification through clinical research and all the way to the launch of new medicines,” added James Weatherall, PhD, head of Data Science and AI, AstraZeneca, in his statement.

“Recent advances in AI have seen increasingly powerful models being used for complex tasks such as image recognition and natural language understanding,” said Sebastien Ourselin, head, School of Biomedical Engineering & Imaging Sciences at King’s College London. “These models have achieved previously unimaginable performance by using an unprecedented scale of computational power, amassing millions of GPU hours per model. Through this partnership, for the first time, such a scale of computational power will be available to healthcare research – it will be truly transformational for patient health and treatment pathways.”

Dr. Ian Abbs, chief executive & chief medical director of Guy’s and St Thomas’ NHS Foundation Trust Officer, said: “If AI is to be deployed at scale for patient care, then accuracy, robustness and safety are of paramount importance. We need to ensure AI researchers have access to the largest and most comprehensive datasets that the NHS has to offer, our clinical expertise, and the required computational infrastructure to make sense of the data. This approach is not only necessary, but also the only ethical way to deliver AI in healthcare – more advanced AI means better care for our patients.”

“Compact AI has enabled real-time sequencing in the palm of your hand, and AI supercomputers are enabling new scientific discoveries in large-scale genomic data sets,” added Gordon Sanghera, CEO, Oxford Nanopore Technologies. “These complementary innovations in data analysis support a wealth of impactful science in the U.K., and critically, support our goal of bringing genomic analysis to anyone, anywhere.”

 

During the COVID-19 pandemic, supply chains have suddenly become hot. Who knew that would ever happen? The race to secure PPE, ventilators and minor things like food was and still is an enormous issue. But perhaps, predictably, the world of “supply chain software” could use some updating. Most of the platforms are deployed “empty” and require the client to populate them with their own data, or “bring their own data.” The UIs can be outdated and still have to be juggled with manual and offline workflows. So startups working in this space are now attracting some timely attention.

Thus, Craft, the enterprise intelligence company, today announces it has closed a $10 million Series A financing round to build what it characterizes as a “supply chain intelligence platform.” With the new funding, Craft will expand its offices in San Francisco, London and Minsk, and grow remote teams across engineering, sales, marketing and operations in North America and Europe.

It competes with some large incumbents, such as Dun & Bradstreet, Bureau van Dijk and Thomson Reuters . These are traditional data providers focused primarily on providing financial data about public companies, rather than real-time data from data sources such as operating metrics, human capital and risk metrics.

The idea is to allow companies to monitor and optimize their supply chain and enterprise systems. The financing was led by High Alpha Capital, alongside Greycroft. Craft also has some high-flying angel investors, including Sam Palmisano, chairman of the Center for Global Enterprise and former CEO and chairman of IBM; Jim Moffatt, former CEO of Deloitte Consulting; Frederic Kerrest, executive vice chairman, COO and co-founder of Okta; and Uncork Capital, which previously led Craft’s seed financing. High Alpha partner Kristian Andersen is joining Craft’s board of directors.

The problem Craft is attacking is a lack of visibility into complex global supply chains. For obvious reasons, COVID-19 disrupted global supply chains, which tended to reveal a lot of risks, structural weaknesses across industries and a lack of intelligence about how it’s all holding together. Craft’s solution is a proprietary data platform, API and portal that integrates into existing enterprise workflows.

While many business intelligence products require clients to bring their own data, Craft’s data platform comes pre-deployed with data from thousands of financial and alternative sources, such as 300+ data points that are refreshed using both Machine Learning and human validation. Its open-to-the-web company profiles appear in 50 million search results, for instance.

Ilya Levtov, co-founder and CEO of Craft, said in a statement: “Today, we are focused on providing powerful tracking and visibility to enterprise supply chains, while our ultimate vision is to build the intelligence layer of the enterprise technology stack.”

Kristian Andersen, partner with High Alpha commented: “We have a deep conviction that supply chain management remains an underinvested and under-innovated category in enterprise software.”

In the first half of 2020, Craft claims its revenues have grown nearly threefold, with Fortune 100 companies, government and military agencies, and SMEs among its clients.

Buildots, a Tel Aviv and London-based startup that is using computer vision to modernize the construction management industry, today announced that it has raised $16 million in total funding. This includes a $3 million seed round that was previously unreported and a $13 million Series A round, both led by TLV Partners. Other investors include Innogy Ventures, Tidhar Construction Group, Ziv Aviram (co-founder of Mobileye & OrCam), Magma Ventures head Zvika Limon, serial entrepreneurs Benny Schnaider and  Avigdor Willenz, as well as Tidhar chairman Gil Geva.

The idea behind Buildots is pretty straightforward. The team is using hardhat-mounted 360-degree cameras to allow project managers at construction sites to get an overview of the state of a project and whether it remains on schedule. The company’s software creates a digital twin of the construction site, using the architectural plans and schedule as its basis, and then uses computer vision to compare what the plans say to the reality that its tools are seeing. With this, Buildots can immediately detect when there’s a power outlet missing in a room or whether there’s a sink that still needs to be installed in a kitchen, for example.

“Buildots have been able to solve a challenge that for many seemed unconquerable, delivering huge potential for changing the way we complete our projects,” said Tidhar’s Geva in a statement. “The combination of an ambitious vision, great team and strong execution abilities quickly led us from being a customer to joining as an investor to take part in their journey.”

The company was co-founded in 2018 by Roy Danon, Aviv Leibovici and Yakir Sundry. Like so many Israeli startups, the founders met during their time in the Israeli Defense Forces, where they graduated from the Talpiot unit.

“At some point, like many of our friends, we had the urge to do something together — to build a company, to start something from scratch,” said Danon, the company’s CEO. “For us, we like getting our hands dirty. We saw most of our friends going into the most standard industries like cloud and cyber and storage and things that obviously people like us feel more comfortable in, but for some reason we had like a bug that said, ‘we want to do something that is a bit harder, that has a bigger impact on the world.’ ”

So the team started looking into how it could bring technology to traditional industries like agriculture, finance and medicine, but then settled upon construction thanks to a chance meeting with a construction company. For the first six months, the team mostly did research in both Israel and London to understand where it could provide value.

Danon argues that the construction industry is essentially a manufacturing industry, but with very outdated control and process management systems that still often relies on Excel to track progress.

Construction sites obviously pose their own problems. There’s often no Wi-Fi, for example, so contractors generally still have to upload their videos manually to Buildots’ servers. They are also three dimensional, so the team had to develop systems to understand on what floor a video was taken, for example, and for large indoor spaces, GPS won’t work either.

The teams tells me that before the COVID-19 lockdowns, it was mostly focused on Israel and the U.K., but the pandemic actually accelerated its push into other geographies. It just started work on a large project in Poland and is scheduled to work on another one in Japan next month.

Because the construction industry is very project-driven, sales often start with getting one project manager on board. That project manager also usually owns the budget for the project, so they can often also sign the check, Danon noted. And once that works out, then the general contractor often wants to talk to the company about a larger enterprise deal.

As for the funding, the company’s Series A round came together just before the lockdowns started. The company managed to bring together an interesting mix of investors from both the construction and technology industries.

Now, the plan is to scale the company, which currently has 35 employees, and figure out even more ways to use the data the service collects and make it useful for its users. “We have a long journey to turn all the data we have into supporting all the workflows on a construction site,” said Danon. “There are so many more things to do and so many more roles to support.”

Cisco today announced that it has acquired Exablaze, an Australia-based company that designs and builds advanced networking gear based on field programmable gate arrays (FPGAs). The company focuses on solutions for businesses that need ultra-low latency networking, with a special emphasis on high-frequency trading. Cisco plans to integrate Exablaze’s technology into its own product portfolio.

“By adding Exablaze’s segment leading ultra-low latency devices and FPGA-based applications to our portfolio, financial and HFT customers will be better positioned to achieve their business objectives and deliver on their customer value proposition,” writes Cisco’s head of corporate development Rob Salvagno.

Founded in 2013, Exablaze has offices in Sydney, New York, London and Shanghai. While financial trading is an obvious application for its solutions, the company also notes that it has users in the big data analytics, high-performance computing and telecom space.

Cisco plans to add Exablaze to its Nexus portfolio of data center switches. The company also argues that in addition to integrating Exablaze’s current portfolio, the two companies will work on next-generation switches, with an emphasis on creating opportunities for expanding its solutions into AI and ML segments.

“The acquisition will bring together Cisco’s global reach, extensive sales and support teams, and broad technology and manufacturing base, with Exablaze’s cutting-edge low-latency networking, layer 1 switching, timing and time synchronization technologies, and low-latency FPGA expertise,” explains Exablaze co-founder and chairman Greg Robinson.

Cisco, which has always been quite acquisitive, has now made six acquisitions this year. Most of these were software companies, but with Acacia Communications, it also recently announced its intention to acquire another fabless semiconductor company that builds optical interconnects.

 

At its Cloud Next event in London, Google today announced a number of product updates around its managed Anthos platform, as well as Apigee and its Cloud Code tools for building modern applications that can then be deployed to Google Cloud or any Kubernetes cluster.

Anthos is one of the most important recent launches for Google, as it expands the company’s reach outside of Google Cloud and into its customers’ data centers and, increasingly, edge deployments. At today’s event, the company announced that it is taking Anthos Migrate out of beta and into general availability. The overall idea behind Migrate is that it allows enterprises to take their existing, VM-based workloads and convert them into containers. Those machines could come from on-prem environments, AWS, Azure or Google’s Compute Engine, and — once converted — can then run in Anthos GKE, the Kubernetes service that’s part of the platform.

“That really helps customers think about a leapfrog strategy, where they can maintain the existing VMs but benefit from the operational model of Kubernetes,” Google VP of product management Jennifer Lin told me. “So even though you may not get all of the benefits of a cloud-native container day one, what you do get is consistency in the operational paradigm.”

As for Anthos itself, Lin tells me that Google is seeing some good momentum. The company is highlighting a number of customers at today’s event, including Germany’s Kaeser Kompressoren and Turkey’s Denizbank.

Lin noted that a lot of financial institutions are interested in Anthos. “A lot of the need to do data-driven applications, that’s where Kubernetes has really hit that sweet spot because now you have a number of distributed datasets and you need to put a web or mobile front end on [them],” she explained. “You can’t do it as a monolithic app, you really do need to tap into a number of datasets — you need to do real-time analytics and then present it through a web or mobile front end. This really is a sweet spot for us.”

Also new today is the general availability of Cloud Code, Google’s set of extensions for IDEs like Visual Studio Code and IntelliJ that helps developers build, deploy and debug their cloud-native applications more quickly. The idea, here, of course, is to remove friction from building containers and deploying them to Kubernetes.

In addition, Apigee hybrid is now also generally available. This tool makes it easier for developers and operators to manage their APIs across hybrid and multi-cloud environments, a challenge that is becoming increasingly common for enterprises. This makes it easier to deploy Apigee’s API runtimes in hybrid environments and still get the benefits of Apigees monitoring and analytics tools in the cloud. Apigee hybrid, of course, can also be deployed to Anthos.

83North has closed its fifth fund, completing an oversubscribed $300 million raise and bringing its total capital under management to $1.1BN+.

The VC firm, which spun out from Silicon Valley giant Greylock Partners in 2015 — and invests in startups in Europe and Israel, out of offices in London and Tel Aviv — last closed a $250M fourth fund back in 2017.

It invests in early and growth stage startups in consumer and enterprise sectors across a broad range of tech areas including fintech, data centre & cloud, enterprise software and marketplaces.

General partner Laurel Bowden, who leads the fund, says the latest close represents investment business as usual, with also no notable changes to the mix of LPs investing for this fifth close.

“As a fund we’re really focused on keeping our fund size down. We think that for just the investment opportunity in Europe and Israel… these are good sized funds to raise and then return and make good multiples on,” she tells TechCrunch. “If you go back in the history of our fundraising we’re always somewhere between $200M-$300M. And that’s the size we like to keep.”

“Of course we do think there’s great opportunities in Europe and Israel but not significantly different than we’ve thought over the last 15 years or so,” she adds.

83North has made around 70 investments to date — which means its five partners are usually making just one investment apiece per year.

The fund typically invests around $1M at the seed level; between $4M-$8M at the Series A level and up to $20M for Series B, with Bowden saying around a quarter of its investments go into seed (primarily into startups out of Israel); ~40% into Series A; and ~30% Series B.

“It’s somewhat evenly mixed between seed, Series A, Series B — but Series A is probably bigger than everything,” she adds.

It invests roughly half and half in its two regions of focus.

The firm has had 15 exits of portfolio companies (three of which it claims as unicorns). Recent multi-billion dollar exits for Bowden are: Just Eat, Hybris (acquired by SAP), iZettle (acquired by PayPal) and Qlik.

While 83North has a pretty broad investment canvas, it’s open to new areas — moving into IoT (with recent investments in Wiliot and VDOO), and also taking what it couches as a “growing interest” in healthtech and vertical SaaS. 

“Some of my colleagues… are looking at areas like lidar, in-vehicle automation, looking at some of the drone technologies, looking at some even healthtech AI,” says Bowden. “We’ve looked at a couple of those in Europe as well. I’ve looked, actually, at some healthtech AI. I haven’t done anything but looked.

“And also all things related to data. Of course the market evolves and the technology evolves but we’ve done things related to BI to process automation through to just management of data ops, management of data. We always look at that area. And think we’ll carry on for a number of years. ”

“In venture you have to expand,” she adds. “You can’t just stay investing in exactly the same things but it’s more small additional add-ons as the market evolves, as opposed to fundamental shifts of investment thesis.”

Discussing startup valuations, Bowden says European startups are not insulated from wider investment dynamics that have been pushing startup valuations higher — and even, arguably, warping the market — as a consequence of more capital being raised generally (not only at the end of the pipe).

“Definitely valuations are getting pushed up,” she says. “Definitely things are getting more competitive but that comes back to exactly why we’re focused on raising smaller funds. Because we just think then we have less pressure to invest if we feel that valuations have got too high or there’s just a level… where startups just feel the inclination to raise way more money than they probably need — and that’s a big reason why we like to keep our fund size relatively small.”

Cybereason, which uses machine learning to increase the number of endpoints a single analyst can manage across a network of distributed resources, has raised $200 million in new financing from SoftBank Group and its affiliates. 

It’s a sign of the belief that SoftBank has in the technology, since the Japanese investment firm is basically doubling down on commitments it made to the Boston-based company four years ago.

The company first came to our attention five years ago when it raised a $25 million financing from investors, including CRV, Spark Capital and Lockheed Martin.

Cybereason’s technology processes and analyzes data in real time across an organization’s daily operations and relationships. It looks for anomalies in behavior across nodes on networks and uses those anomalies to flag suspicious activity.

The company also provides reporting tools to inform customers of the root cause, the timeline, the person involved in the breach or breaches, which tools they use and what information was being disseminated within and outside of the organization.

For co-founder Lior Div, Cybereason’s work is the continuation of the six years of training and service he spent working with the Israeli army’s 8200 Unit, the military incubator for half of the security startups pitching their wares today. After his time in the military, Div worked for the Israeli government as a private contractor reverse-engineering hacking operations.

Over the last two years, Cybereason has expanded the scope of its service to a network that spans 6 million endpoints tracked by 500 employees, with offices in Boston, Tel Aviv, Tokyo and London.

“Cybereason’s big data analytics approach to mitigating cyber risk has fueled explosive expansion at the leading edge of the EDR domain, disrupting the EPP market. We are leading the wave, becoming the world’s most reliable and effective endpoint prevention and detection solution because of our technology, our people and our partners,” said Div, in a statement. “We help all security teams prevent more attacks, sooner, in ways that enable understanding and taking decisive action faster.”

The company said it will use the new funding to accelerate its sales and marketing efforts across all geographies and push further ahead with research and development to make more of its security operations autonomous.

“Today, there is a shortage of more than three million level 1-3 analysts,” said Yonatan Striem-Amit, chief technology officer and co-founder, Cybereason, in a statement. “The new autonomous SOC enables SOC teams of the future to harness technology where manual work is being relied on today and it will elevate  L1 analysts to spend time on higher value tasks and accelerate the advanced analysis L3 analysts do.”

Most recently the company was behind the discovery of Operation SoftCell, the largest nation-state cyber espionage attack on telecommunications companies. 

That attack, which was either conducted by Chinese-backed actors or made to look like it was conducted by Chinese-backed actors, according to Cybereason, targeted a select group of users in an effort to acquire cell phone records.

As we wrote at the time:

… hackers have systematically broken in to more than 10 cell networks around the world to date over the past seven years to obtain massive amounts of call records — including times and dates of calls, and their cell-based locations — on at least 20 individuals.

Researchers at Boston-based Cybereason, who discovered the operation and shared their findings with TechCrunch, said the hackers could track the physical location of any customer of the hacked telcos — including spies and politicians — using the call records.

Lior Div, Cybereason’s co-founder and chief executive, told TechCrunch it’s “massive-scale” espionage.

Call detail records — or CDRs — are the crown jewels of any intelligence agency’s collection efforts. These call records are highly detailed metadata logs generated by a phone provider to connect calls and messages from one person to another. Although they don’t include the recordings of calls or the contents of messages, they can offer detailed insight into a person’s life. The National Security Agency  has for years controversially collected the call records of Americans from cell providers like AT&T and Verizon (which owns TechCrunch), despite the questionable legality.

It’s not the first time that Cybereason has uncovered major security threats.

Back when it had just raised capital from CRV and Spark, Cybereason’s chief executive was touting its work with a defense contractor who’d been hacked. Again, the suspected culprit was the Chinese government.

As we reported, during one of the early product demos for a private defense contractor, Cybereason identified a full-blown attack by the Chinese — 10,000 thousand usernames and passwords were leaked, and the attackers had access to nearly half of the organization on a daily basis.

The security breach was too sensitive to be shared with the press, but Div says that the FBI was involved and that the company had no indication that they were being hacked until Cybereason detected it.

In an era of massive data breaches, most recently the Capital One fiasco, the risk of a cyberattack and the costly consequences are the top existential threat to corporations big and small. At TechCrunch’s first-ever enterprise-focused event (p.s. early-bird sales end August 9), that topic will be front and center throughout the day.

That’s why we’re delighted to announce United’s chief information security officer Emily Heath will join TC Sessions: Enterprise in San Francisco on September 5, where we will discuss and learn how one of the world’s largest airlines keeps its networks safe.

Joining her to talk enterprise security will be a16z partner Martin Casado and DUO / Cisco’s head of advisory CISOs Wendy Nather, among others still to be announced.

At United, Heath oversees the airline’s cybersecurity program and its IT regulatory, governance and risk management.

The U.S.-based airline has more than 90,000 employees serving 4,500 flights a day to 338 airports, including New York, San Francisco, Los Angeles and Washington, D.C.

A native of Manchester, U.K., Heath served as a former police detective in the U.K. Financial Crimes Unit where she led investigations into international investment fraud, money laundering and large scale cases of identity theft — and ran joint investigations with the FBI, SEC and London’s Serious Fraud Office.

Heath and her teams have been the recipients of CSO Magazine’s CSO50 Awards for their work in cybersecurity and risk.

At TC Sessions: Enterprise, Heath will join a panel of cybersecurity experts to discuss security on enterprise networks large and small — from preventing data from leaking to keeping bad actors out of their network — where we’ll learn how a modern CSO moves fast without breaking things.

Join hundreds of today’s leading enterprise experts for this single-day event when you purchase a ticket to the show. The $249 early-bird sale ends Friday, August 9. Make sure to grab your tickets today and save $100 before prices go up.