We have seen a lot of action this week as the DoD tries to finally determine the final winner of the $10 billion, decade-long DoD JEDI cloud contract. Today, the DoD released a statement that after reviewing the proposals from finalists Microsoft and Amazon again, it reiterated that Microsoft was the winner of the contract.

“The Department has completed its comprehensive re-evaluation of the JEDI Cloud proposals and determined that Microsoft’s proposal continues to represent the best value to the Government. The JEDI Cloud contract is a firm-fixed-price, indefinite-delivery/indefinite-quantity contract that will make a full range of cloud computing services available to the DoD,” the DoD said in a statement.

This comes on the heels of yesterday’s Court of Appeals decision denying Oracle’s argument that the procurement process was flawed and that there was a conflict of interest because a former Amazon employee helped write the requirements for the RFP.

While the DoD has determined that it believes that Microsoft should still get the contract, after selecting them last October, that doesn’t mean this is the end of the line for this long-running saga. In fact, a federal judge halted work on the project in February pending a hearing on an ongoing protest from Amazon, which believes it should have won based on merit, and the fact it believes the president interfered with the procurement process to prevent Jeff Bezos, who owns The Washington Post, from getting the lucrative contract.

The DoD confirmed that the project could not begin until the legal wrangling was settled. “While contract performance will not begin immediately due to the Preliminary Injunction Order issued by the Court of Federal Claims on February 13, 2020, DoD is eager to begin delivering this capability to our men and women in uniform,” the DoD reported in a statement.

A Microsoft spokesperson said the company was ready to get to work on the project as soon as it got the OK to proceed. “We appreciate that after careful review, the DoD confirmed that we offered the right technology and the best value. We’re ready to get to work and make sure that those who serve our country have access to this much needed technology,” a Microsoft spokesperson told TechCrunch .

Meanwhile, in a blog post published late this afternoon, Amazon made it clear that it was unhappy with today’s outcome and will continue to pursue legal remedy for what they believe to be presidential interference that has threatened the integrity of the procurement process. Here’s how they concluded the blog post:

We strongly disagree with the DoD’s flawed evaluation and believe it’s critical for our country that the government and its elected leaders administer procurements objectively and in a manner that is free from political influence. The question we continue to ask ourselves is whether the President of the United States should be allowed to use the budget of the Department of Defense to pursue his own personal and political ends? Throughout our protest, we’ve been clear that we won’t allow blatant political interference, or inferior technology, to become an acceptable standard. Although these are not easy decisions to make, and we do not take them lightly, we will not back down in the face of targeted political cronyism or illusory corrective actions, and we will continue pursuing a fair, objective, and impartial review.

While today’s statement from DoD appears to take us one step closer to the end of the road for this long-running drama, it won’t be over until the court rules on Amazon’s arguments. It’s clear from today’s blog post that Amazon has no intention of stepping down.

Note: We have  updated this story with content from an Amazon blog post responding to this news.

Avo, a startup that helps businesses better manage their data quality across teams, today announced that it has raised a $3 million seed round led by GGV Capital, with participation from  Heavybit, Y Combinator and others.

The company’s founder, Stefania Olafsdóttir, who is currently based in Iceland, was previously the head of data science at QuizUp, which at some point had 100 million users around the world. “I had the opportunity to build up the Data Science Division, and that meant the cultural aspect of helping people ask and answer the right questions — and get them curious about data — but it also meant the technical part of setting up the infrastructure and tools and pipelines, so people can get the right answers when they need it,” she told me. “We were early adopters of self-serve product analytics and culture — and we struggled immensely with data reliability and data trust.”

Image Credits: Avo

As companies collect more data across products and teams, the process tends to become unwieldy and different teams end up using different methods (or just simply different tags), which creates inefficiencies and issues across the data pipeline.

“At first, that unreliable data just slowed down decision making, because people were just like, didn’t understand the data and needed to ask questions,” Olafsdóttir said about her time at QuizUp. “But then it caused us to actually launch bad product updates based on incorrect data.” Over time, that problem only became more apparent.

“Once organizations realize how big this issue is — that they’re effectively flying blind because of unreliable data, while their competition might be like taking the lead on the market — the default is to patch together a bunch of clunky processes and tools that partially increase the level of liability,” she said. And that clunky process typically involves a product manager and a spreadsheet today.

At its core, the Avo team set out to build a better process around this, and after a few detours and other product ideas, Olafsdóttir and her co-founders regrouped to focus on exactly this problem during their time in the Y Combinator program.

Avo gives developers, data scientists and product managers a shared workspace to develop and optimize their data pipelines. “Good product analytics is the product of collaboration between these cross-functional groups of stakeholders,” Olafsdóttir argues, and the goal of Avo is to give these groups a platform for their analytics planning and governance — and to set company-wide standards for how they create their analytics events.

Once that is done, Avo provides developers with typesafe analytics code and debuggers that allows them to take those snippets and add them to their code within minutes. For some companies, this new process can help them go from spending 10 hours on fixing a specific analytics issue to an hour or less.

Most companies, the team argues, know — deep down — that they can’t fully trust their data. But they also often don’t know how to fix this problem. To help them with this, Avo also today released its Inspector product. This tool processes event streams for a company, visualizes them and then highlights potential errors. These could be type mismatches, missing properties or other discrepancies. In many ways, that’s obviously a great sales tool for a service that aims to avoid exactly these problems.

One of Avo’s early customers is Rappi, the Latin American delivery service. “This year we scaled to meet the demand of 100,000 new customers digitizing their deliveries and curbside pickups. The problem with every new software release was that we’d break analytics. It represented 25% of our Jira tickets,” said Rappi’s head of Engineering, Damian Sima. “With Avo we create analytics schemas upfront, identify analytics issues fast, add consistency over time and ensure data reliability as we help customers serve the 12+ million monthly users their businesses attract.”

As most startups at this stage, Avo plans to use the new funding to build out its team and continue to develop its product.

“The next trillion-dollar software market will be driven from the ground up, with developers deciding the tools they use to create digital transformation across every industry. Avo offers engineers ease of implementation while still retaining schemas and analytics governance for product leaders,” said GGV Capital Managing Partner Glenn Solomon. “Our investment in Avo is an investment in software developers as the new kingmakers and product leaders as the new oracles.”

A newly discovered bug in a cloud system used to manage SonicWall firewalls could have allowed hackers to break into thousands of corporate networks.

Enterprise firewalls and virtual private network appliances are vital gatekeepers tasked with protecting corporate networks from hackers and cyberattacks while still letting in employees working from home during the pandemic. Even though most offices are empty, hackers frequently look for bugs in critical network gear in order to break into company networks to steal data or plant malware.

Vangelis Stykas, a researcher at security firm Pen Test Partners, found the new bug in SonicWall’s Global Management System (GMS), a web app that lets IT departments remotely configure their SonicWall devices across the network.

But the bug, if exploited, meant any existing user with access to SonicWall’s GMS could create a user account with access to any other company’s network without permission.

From there, the newly created account could remotely manage the SonicWall gear of that company.

In a blog post shared with TechCrunch, Stykas said there were two barriers to entry. Firstly, a would-be attacker would need an existing SonicWall GMS user account. The easiest way — and what Stykas did to independently test the bug — was to buy a SonicWall device.

The second issue was that the would-be attacker would also need to guess a unique seven-digit number associated with another company’s network. But Stykas said that this number appeared to be sequential and could be easily enumerated, one after the other.

Once inside a company’s network, the attacker could deliver ransomware directly to the internal systems of their victims, an increasingly popular tactic for financially driven hackers.

SonicWall confirmed the bug is now fixed. But Stykas criticized the company for taking more than two weeks to patch the vulnerability, which he described as “trivial” to exploit.

“Even car alarm vendors have fixed similar issues inside three days of us reporting,” he wrote.

A SonicWall spokesperson defended the decision to subject the fix to a “full” quality check before it was rolled out, and said it is “not aware” of any exploitation of the vulnerability.

Process automation startup Hypatos has raised a €10 million (~$11.8 million) seed round of funding from investors including Blackfin Tech, Grazia Equity, UVC Partners and Plug & Play Ventures.

The Germany and Poland-based company was spun out of AI for accounting startup Smacc at the back end of 2018 to apply deep learning tech to power a wider range of back-office automation, with a focus on industries with heavy financial document processing needs, such as the financial and insurance sectors.

Hypatos is applying language processing AI and computer vision tech to speed up financial document processing for business use cases such as invoices, travel and expense management, loan application validation and insurance claims handling via — touting a training data set of more than 10 million annotated data entities.

It says the new seed funding will go on R&D to expand its portfolio of AI models so it can automate business processing for more types of documents, as well as for fueling growth in Europe, North American and Asia. Its customer base at this point includes Fortune 500 companies, major accounting firms and more than 300 software companies.

While there are plenty of business process automation plays, Hypatos says its use of deep learning tech supports an “in-depth understanding” of document content — which in turn allows it to offer customers a “soup to nuts” automation menu that covers document classification, information capturing, content validation and data enrichment.

It dubs its approach “cognitive process automation” (CPA) versus more basic applications of business process automation with software robots (RPA), which it argues aren’t so contextually savvy — thereby claiming an edge.

As well as document processing solutions, it has developed machine learning modules for enhancing customers’ existing systems (e.g. ECM, ERP, CRM, RPA); and offers APIs for software providers to draw on its machine learning tech for their own applications.

“All offerings include machine learning pipeline software for continuous model training in the cloud or in on-premise deployments,” it notes in a press release.

“We have deep knowledge of how financial documents are processed and millions of data entities in our training data,” says chief commercial officer Cem Dilmegani, discussing where Hypatos fits in the business process automation landscape. “We get compared to RPA companies like UiPath, enterprise content management (ECM) companies like Kofax Readsoft as well as generalist ML document automation companies like Hyperscience. However, we are quite different.

“We focus on end-to-end automation, we don’t only help companies capture data, we help them process it using our deep domain understanding, enabling higher rates of automation. For example, to automate incoming invoice processing (A/P automation) we apply our document understanding AI to capture all data, classify the document, identify the specific goods and services, validate for internal/external compliance and assign financial accounts, cost centers, cost categories etc. to automate all processing tasks.

“Finally, we offer this technology as components easily accessible via APIs. This allows RPA or ECM users to leverage our technology and increase their level of automation.”

Hypatos claims it’s seeing uplift as a result of the coronavirus pandemic — noting it’s providing a service to more than a dozen Fortune 500 companies to help with in-shoring efforts, which it says are accelerating as a result of COVID-19 putting pressure on the traditional business process outsourcing model as offshore workforce productivity in lower wage regions is affected by coronavirus lockdowns.

“We believe that we are in a pivotal moment of machine learning adoption in large organizations,” adds Andreas Unseld, partner at UVC Partners, in a supporting statement. “Hypatos’ technology provides ample opportunity to transform many core business processes. We’re impressed by the Hypatos machine learning technology and see the team in a perfect position to take a leading role in the machine learning revolution to come.”

Four years after the Great Recession, France’s newly elected socialist president François Hollande raised taxes and increased regulations on founder-led startups. The subsequent flight of entrepreneurs to places like London and Silicon Valley portrayed France as a tough place to launch a company. By 2016, France’s national statistics bureau estimated that about three million native-born citizens had moved abroad.

Those who remained fought back: The Family was an early accelerator that encouraged French entrepreneurs to adopt Silicon Valley’s startup methodology, and the 2012 creation of Bpifrance, a public investment bank, put money into the startup ecosystem system via investors. Organizers founded La French Tech to beat the drum about native startups.

When President Emmanuel Macron took office in May 2017, he scrapped the wealth tax on everything except property assets and introduced a flat 30% tax rate on capital gains. Station F, a giant startup campus funded by billionaire entrepreneur Xavier Niel on the site of a former railway station, began attracting international talent. Tony Fadell, one of the fathers of the iPod and founder of Nest Labs, moved to Paris to set up investment firm Future Shape; VivaTech was created with government backing to become one of Europe’s largest startup conference and expos.

Now, in the COVID-19 era, the government has made €4 billion available to entrepreneurs to keep the lights on. According to a recent report from VC firm Atomico, there are 11 unicorns in France, including BlaBlaCar, OVHcloud, Deezer and Veepee. More appear to be coming; last year Macron said he wanted to see “25 French unicorns by 2025.”

According to Station F, by the end of August, there had been 24 funding rounds led by international VCs and a few big transactions. Enterprise artificial intelligence and machine-learning platform Dataiku raised a $100 million Series D round, and Paris-based gaming startup Voodoo raised an undisclosed amount from Tencent Holdings.

We asked 12 Paris-based investors to comment on the state of play in their city:

• Alison Imbert, partner, Partech
• Alexandre Mordacq, partner, 360 Capital Partners
• Emmanuel Delaveau, partner, Partech
• Boris Golden, partner, Partech
• Jean de La Rochebrochard, managing partner, Kima Ventures
• Paul Bolardi, associate, AXA Venture Partners
• Shiraz Mahfoudhi, Speedinvest
• Guillaume Dupont, founding partner, CapHorn
• Martin Mignot, partner, Index Ventures
• Bartosz Jakubowski, principal, Alven
• Pierre Entremont, founding partner, Frst Capital
• Pierre-Eric Leibovici, founding partner, Daphni

Alison Imbert, Partech

What trends are you most excited about investing in, generally?

All the fintechs addressing SMBs to help them to focus more on their core business (including banks disintermediation by fintech, new infrastructures tech that are lowering the barrier to entry to nonfintech companies).

What’s your latest, most exciting investment?

77foods (plant-based bacon) — love that alternative proteins trend as well. Obviously, we need to transform our diet toward more sustainable food. It’s the next challenge for humanity.

What are you looking for in your next investment, in general?
Impact investment: Logistic companies tackling the life cycle of products to reduce their carbon footprint and green fintech that reinvent our spending and investment strategy around more sustainable products.

Which areas are either oversaturated or would be too hard to compete in at this point for a new startup? What other types of products/services are you wary or concerned about?
D2C products.

How much are you focused on investing in your local ecosystem versus other startup hubs (or everywhere) in general? More than 50%? Less?
100% investing in France as I’m managing Paris Saclay Seed Fund, a €53 million fund, investing in pre-seed and seed startups launched by graduates and researchers from the best engineering and business schools from this ecosystem.

Which industries in your city and region seem well-positioned to thrive, or not, long term? What are companies you are excited about (your portfolio or not), which founders?
Deep tech, biotech and medical devices. Paris, and France in general, has thousands of outstanding engineers that graduate each year. Researchers are more and more willing to found companies to have a true impact on our society. I do believe that the ecosystem is more and more structured to help them to build such companies.

How should investors in other cities think about the overall investment climate and opportunities in your city?
Paris is booming for sure. It’s still behind London and Berlin probably. But we are seeing more and more European VC offices opening in the city to get direct access to our ecosystem. Even in seed rounds, we start to have European VCs competing against us. It’s good — that means that our startups are moving to the next level.

Do you expect to see a surge in more founders coming from geographies outside major cities in the years to come, with startup hubs losing people due to the pandemic and lingering concerns, plus the attraction of remote work?
For sure startups will more and more push for remote organizations. It’s an amazing way to combine quality of life for employees and attracting talent. Yet I don’t think it will be the majority. Not all founders are willing/able to build a fully remote company. It’s an important cultural choice and it’s adapted to a certain type of business. I believe in more flexible organization (e.g., tech team working remotely or 1-2 days a week for any employee).

Which industry segments that you invest in look weaker or more exposed to potential shifts in consumer and business behavior because of COVID-19? What are the opportunities startups may be able to tap into during these unprecedented times?
Travel and hospitality sectors are of course hugely impacted. Yet there are opportunities for helping those incumbents to face current challenges (e.g., better customer care and services, stronger flexibility, cost reduction and process automation).

How has COVID-19 impacted your investment strategy? What are the biggest worries of the founders in your portfolio? What is your advice to startups in your portfolio right now?
Cash is king more than ever before. My only piece of advice will be to keep a good level of cash as we have a limited view on events coming ahead. It’s easy to say but much more difficult to put in practice (e.g., to what extend should I reduce my cash burn? Should I keep on investing in the product? What is the impact on the sales team?). Startups should focus only on what is mission-critical for their clients. Yet it doesn’t impact our seed investments as we invest pre-revenue and often pre-product.

What is a moment that has given you hope in the last month or so? This can be professional, personal or a mix of the two.
There is no reason to be hopeless. Crises have happened in the past. Humanity has faced other pandemics. Humans are resilient and resourceful enough to adapt to a new environment and new constraints.