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Ethiopian plastic upcycling startup Kubik gets fresh funding, plans to license out its tech | TechCrunch


Kubik, a plastic upcycling startup, has raised a $1.9 million seed extension, months after announcing initial equity investment. The startup’s latest investment is from African Renaissance Partners, an East African venture capital firm; Endgame Capital, an investor with a bias for technologies around climate change; and King Philanthropies, a climate and extreme poverty investor.

The fresh capital comes as the startup scales its operations in Ethiopia following the launch of its factory in Addis Ababa, where it is turning plastic waste into interlocking building materials like bricks, columns, beams and jambs. Kubik co-founder and CEO Kidus Asfaw, told TechCrunch that the startup intends to double down on its operations in Addis Ababa, as it lays ground for pan-African growth from 2025.

Kubik’s approach involves upcycling plastic waste into “low-carbon, durable, and affordable” building materials using proprietary technology, which Asfaw says they will out-license for faster pan-African, and the eventual global growth.

“What we want to do is solve problems for cities and so, we’re thinking about our business model being truly circular. The way we’ve set up our business strategy, is that now we’re in the focus phase of proving this model here in Ethiopia. We’ll expand it to a few more markets to prove the diversity of the context in which this business model can work. But over time, what we actually want to do is transition to becoming a company that’s licensing out this technology,” said Asfaw, who co-founded Kubik with Penda Marre in 2021.

“That’s how we feel that we can truly scale. It’s not by having factories all over the world, but having this industry adopt a new way of making materials globally,” he said.

He said their product allows developers to erect walls without the need for cement, aggregates or steel, making the construction faster and bringing the cost down by “at least 40% less per square meter”. Cost is a key barrier in construction and the availability of affordable or cheaper building materials presents a better option for developers of affordable-housing projects.

Asfaw said Kubik’s materials have passed safety tests by the European standards agency, Intertek, which checked, among other things, strength, toxicity and flammability.

“We don’t want to be selling something that’s harmful for human beings. We did not start sales until these reports were available,” he said.

The startup currently recycles 5,000 kilograms (and can do 45,000 at capacity) of plastic waste a day. It has signed partnerships with corporates and Addis Ababa municipality for a regular supply of plastic waste. In the near-term, it is looking at product diversification to cover pavers and flooring material.

It is estimated that the world produces 430 million tonnes of plastic a year, two thirds are for short-term use. Evidently, the world is choking on plastic waste, and while the situation is exacerbated by consumerism trends in developed countries, in regions facing rapid urbanization and economic growth like African cities, plastic waste is getting out of control too, requiring urgent responses. In the coming days, startups like Kubik will play a leading role in providing sustainable solutions for the menace.


Software Development in Sri Lanka

Robotic Automations

The 'valley of death' for climate lies between early-stage funding and scaling up | TechCrunch


Jonathan Strimling faced a dilemma. His company had spent nine years working on chemical processes that could turn old cardboard boxes into high-quality building insulation. The good news was the team had finally cracked it: CleanFiber’s technology pumped out insulation — really good insulation. It had fewer contaminants and produced less dust than other cellulose insulation made from old newspapers. Insulation installers loved the stuff.

Now CleanFiber had to make more of it. A lot more.

Many founders and CEOs might be envious of the problem. But the transition from science project to commercial outfit is one of the hardest to pull off.

“It’s hard to launch your first-of-breed plant,” Strimling, the company’s CEO, told TechCrunch. “It did cost us more than we expected. It took us longer than we expected. And that’s fairly typical.”

Any startup is laced with a certain amount of risk. Early-stage companies are often unsure whether their technology will work or whether their product will find enough customers. But at that point, investors are more willing to stomach the risk. They know fresh startups are a gamble, but the amount required to get one off the ground is relatively small. It’s easier to play the numbers game.

The game changes, though, when startups emerge from their youth, and it becomes especially challenging when the company’s products are made of atoms, not ones and zeros.

“There’s still a lot of hesitancy to do hardware, hard tech, infrastructure,” Matt Rogers, co-founder of Nest and Mill, told TechCrunch. Those awkward middle stages are particularly hard for climate startups, which are dominated by hardware companies.

“You can’t solve climate with SaaS,” Rogers said.

The problem has come to dominate conversations about finance and climate change. There has been an explosion of startups in recent years that seek to electrify homes and buildings, slash pollution in industrial processes, and remove planet-warming carbon from the atmosphere. But as those companies emerge from the lab, they’re finding it hard to raise the kind of money they’ll need to build their first commercial scale project.

“That transition is just a really, really difficult one,” said Lara Pierpoint, managing director of Trellis Climate at Prime Coalition. “It’s not one that VC was designed to navigate, nor is it one that institutional infrastructure investors were designed to take on from a risk perspective.”

Some call this the “first of a kind” problem. Others call it the “missing middle,” describing the yawning gap between early-stage venture dollars and expertise on one end and infrastructure funds on the other. But those terms paper over the severity of the problem. A better term might be what Ashwin Shashindranath, a partner at Energy Impact Partners, calls “the commercial valley of death.”

Sean Sandbach, principal at Spring Lane Capital, puts it more bluntly, calling it “the single greatest threat to climate companies.”

Financing hardware is hard

The valley of death isn’t unique to climate tech companies, but it poses a bigger challenge for those that seek to decarbonize industry or buildings, for example. “When you’re making hardware or infrastructure, your capital needs are just very different,” Rogers said.

To see how, consider two hypothetical climate tech companies: one is a SaaS startup with revenue that recently raised a $2 million round and is looking for another $5 million. “That’s a good story for a traditional venture firm,” said Abe Yokell, co-founder and managing partner at Congruent Ventures.

Contrast that with a deep tech company that doesn’t have any revenue and is hoping to raise a $50 million Series B to fund its first-of-a-kind project. “That’s a harder story,” he said.

As a result, “a good portion of our time consistently is spent with our portfolio companies helping them bring on the next stage of capital,” Yokell said. “We are finding people to fill the gap. But it’s not like you go to 20 funds. You go to 100 or 200.”

It’s not just the dollar amounts that make it more challenging to raise money. Part of the problem lies in the way startup financing has evolved over the years. Where decades ago venture capitalists used to tackle hardware challenges, today the majority tend to avoid them.

“We have a capital stack in our economy that was built for digital innovation,” rather than hardware advances, said Saloni Multani, co-head of venture and growth at Galvanize Climate Solutions.

How startups die in the middle

The commercial valley of death has claimed more than a few victims. Over a decade ago, battery manufacturer A123 Systems worked feverishly to build not just its own factories, but also an entire supply chain to provide cells to companies like GM. It ended up being sold for pennies on the dollar to a Chinese auto parts giant.

More recently, Sunfolding, which made actuators to help solar panels track the sun, went belly up in December after it ran into manufacturing challenges. Another startup, electric bus manufacturer Proterra, declared bankruptcy in August in part because it had signed contracts that were unprofitable — making the buses simply cost more than anticipated.

In Proterra’s case, the struggles of mass manufacturing buses were compounded by the fact that the company was also developing two other business lines, one that focused on battery systems for other heavy-duty vehicles and another that specialized in charging infrastructure for them.

Many startups fall into this trap, said Adam Sharkawy, co-founder and managing partner at Material Impact. “As they get some early success, they are looking around themselves and saying, ‘How can we build our ecosystem? How can we pave the path to really scaling? How can we build infrastructure to prepare ourselves to scale?’” he said. “They lose sight of the core value proposition that they’re building, that they need to ensure execution on, before they can start to linearly scale the rest.”

Finding talent to bridge the gap

Maintaining focus is one part of the challenge. Recognizing what to focus on and when is another. That can be learned with firsthand experience, something that’s often lacking in early-stage startups.

As a result, many investors are pushing startups to hire people experienced in manufacturing, construction, and project management earlier than they might otherwise do. “We always advocate for the early hiring of roles such as project manager, head of engineering, head of construction,” said Mario Fernandez, head of Breakthrough Energy Catalyst, which invests in large demonstrations and first-of-a-kind projects.

“Team gap is a big thing that we’re trying to address,” said Shashindranath, the EIP partner. “Most companies that we invest in have never built a large project before.”

To be sure, having the right team in place won’t matter if the company runs out of money. For that, investors have to dig deeper into their wallets or look elsewhere for solutions.

Money matters

Writing more and bigger checks is one solution that many firms pursue. Many investors have opportunity funds or continuity funds reserved for the most successful portfolio companies to ensure they have the resources required to survive the valley of death. Not only does that give startups bigger war chests, but it can also help them access other pools of capital, Shashindranath said. Companies with bigger bank accounts have “additional credibility” with debt financiers, he said. “It’s signaling that helps in a lot of different ways.”

For companies building a factory, asset-backed equipment loans are also an option, said Tom Chi, founding partner at At One Ventures, “where in the worst-case scenario, you’re able to sell back the equipment at 70% of the value and you only have a little bit of debt cap to go repay.”

Yet for companies at the bleeding edge, like a fusion startup, there are limits to how far that playbook can take them. Some projects simply need lots of money before they’ll bring in meaningful revenue, and there aren’t many investors who are well positioned to bridge the gap.

“Early-stage investors, for a whole host of reasons, have struggled to support that middle process largely owing to the scale of their funds, the scale of the checks that they can write, and, to be candid, the realities of the returns that these assets are ultimately able to produce,” said Francis O’Sullivan, managing director at S2G Ventures. “Venture-like returns are exceptionally difficult to achieve once you move into this larger, more capital intensive, more project orientated, commodity-producing world.”

Typical early-stage venture investors aim for tenfold returns on investments, but O’Sullivan argues that perhaps a better mark for hardware-focused climate tech startups would be 2x or 3x. That would make it easier to attract follow-on investment from growth equity funds, which look for similar returns, before handing things off to infrastructure investors, which tend to aim for 50% returns. Problem is, most investors aren’t incentivized to work together, even within large money managers, he said.

On top of that, there aren’t many climate-focused VC firms that have the scale to provide funding in the middle stages, said Abe Yokell. “What we’re really betting on at this point is that there’s enough overlap [in interests] for the traditional venture firms to come in,” he said. “Now the problem, of course, is that over the last couple of years traditional venture has been very beat up.”

Bringing in more capital

Another reason traditional venture firms haven’t stepped up is because they don’t truly understand the risks associated with climate tech investments.

“In hardware, there are things that look like they have technology risk, but actually don’t. I think that’s a massive opportunity,” said Shomik Dutta, co-founder and managing partner of Overture. “Then there are things that look like they have technology risk and still do. And so the question is, how do we bifurcate those pathways?”

One firm, Spring Lane, which recently invested in CleanFiber, has developed a sort of hybrid approach that draws on both venture capital and private equity. The firm performs a large amount of due diligence on its investments — “on par with the large infrastructure funds,” Sandbach said — which helps it gain confidence that the startup has worked through the scientific and technical challenges.

Once it decides to proceed, it often uses a combination of equity and debt. After the deal closes, Spring Lane has a team of experts who help portfolio companies tackle the challenges of scaling up.

Not every firm will be inclined to take that approach, which is why Pierpoint’s firm, Prime Coalition, advocates for more so-called catalytic capital, which includes everything from government grants to philanthropic dollars. The latter can absorb risk that other investors wouldn’t be keen to accept. Over time, the thinking goes, as investors get a deeper appreciation of the risks involved in middle-stage climate tech investing, they’ll be more inclined to place bets on their own, without a philanthropic backstop.

“I’m a big believer that human beings de-risk things through knowledge,” Multani said. “The reason I love seeing generalist firms invest in these companies is because it means they spent a bunch of time understanding the space, and they realize there’s an opportunity.”

However it happens, creating climate solutions through technology is an urgent challenge. The world’s countries have set a goal to eliminate carbon pollution in the next 25 years, which isn’t that long if you consider that it takes several years to build a single factory. To keep warming below 1.5°C, we’ll have to build a lot of factories, many of which have never been built before. And to do that, startups will need lots more money than is available today.

At CleanFiber, Strimling and his team haven’t just completed the company’s first factory, but have also expanded it. It’s now producing enough insulation for 20,000 homes every year. The next few facilities should take less time to build, but the hurdles on the road to opening the first were significant. “When launching the first-of-breed plant, you do run into things you don’t expect,” Strimling said. “We ran into a pandemic.”

Replicating that success across a range of industries won’t be easy or cheap. Still, plenty of investors remain optimistic. “The future will look different from the past,” Multani said. “It must.”


Software Development in Sri Lanka

Robotic Automations

xAI, Elon Musk’s OpenAI rival, is closing on $6B in funding and X, his social network, is already one of its shareholders | TechCrunch


xAI, Elon Musk’s 10-month-old competitor to the AI phenom OpenAI, is raising $6 billion on a pre-money valuation of $18 billion, according to one trusted source close to the deal. The deal – which would give investors one quarter of the company –  is expected to close in the next few weeks unless the terms of the deal change.

The deal terms have changed once already. As of last weekend, Jared Birchall, who heads Musk’s family office, was telling prospective investors that xAI was raising $3 billion at a $15 billion pre-money valuation. Given the number of investors clamoring to get into the deal, those numbers were quickly adjusted. 

Says our source, “We all received an email that basically said, ‘It’s now $6B on $18B, and don’t complain because a lot of other people want in.”

Investors who’ve been lobbying to get into the deal for months hardly minded. Sequoia Capital and Future Ventures, the venture fund co-founded by Musk’s longtime friend Steve Jurvetson, are participating in the round.

Other participants are likely to include Valor Equity Partners and Gigafund, whose founders are also part of the inner circle of Musk, who famously blends the personal and the private. (Outreach to these investors went unreturned; xAI does not have a press function.)

Jurvetson sits on the board of SpaceX and was a director at Tesla until 2020. Gigafund co-founder Luke Nosek, who previously co-founded Founders Fund with investor Peter Thiel, was the first venture investor to write a check to SpaceX and has sat on its board since. Valor founder Antonio Gracias was among the earliest investors in Tesla; like Jurveston, he’s a former Tesla director and is also on the board of SpaceX.

Our source said it’s not entirely clear to every other investor who is in the deal because of the way the commitments were garnered. “It’s a Zoom call and it’s just you and Elon and Jared [on the other side] at a table with some engineers.”

The pitch, says this individual, is captivating.

xAI’s marketing literature already makes clear that the outfit’s ambition is to connect the digital and physical worlds, but it may not be widely understood that Musk plans to do this by pulling in data from each of his companies, which include Tesla, SpaceX, his tunneling outfit Boring Company, and Neuralink, which develops computer interfaces that can be implanted in human brains.

Of course, another of Musk’s companies is X. The social media platform has already incorporated xAI’s months-old chatbot, Grok, into the platform as a paid add-on.

It’s just one piece of what Musk tells investors will become a sprawling virtual cycle. With Grok, for example, X is both a customer and provides Grok with massive distribution. Eventually (goes the pitch), Grok will be fed data from Musk’s other companies, helping it to master the physical world in potentially endless ways, starting with truly self-driving cars.

Another likely beneficiary would be Tesla’s humanoid robot, Optimus. Today the Tesla robot is still in the lab, but Musk told analysts on a call earlier this week that Optimus will be able to perform tasks in Tesla’s factories by the end of this year. Even if that timeline proves ambitious, these slick assistants may be able to do more — and faster than previously imagined — if Musk’s overarching vision plays out.

In the meantime, the most immediate beneficiary of xAI’s burgeoning momentum may be X itself. Though the platform has become something of a toxic cesspool in the 1.5 years since Musk bought it and subsequently lost much of its value, Musk had already seen to it that X owns a stake in xAI, so it will benefit from whatever upside the AI outfit sees.

What it all means for OpenAI — which became the fastest growing startup in history last year —  is an open question. Musk has had OpenAI in his crosshairs since the outfit’s surge began, following the release of its ChatGPT chatbot.

Musk cofounded OpenAI in 2015 and left its board in 2018 over disagreements about the direction of the outfit, which began life as a nonprofit and later evolved into a for-profit entity. Musk has since publicly harangued OpenAI cofounder Sam Altman and poked fun at the brand, proposing that it instead call itself ClosedAI.

Last month, when Musk open sourced the architecture of xAI’s earliest chatbot “Grok-1,” meaning that anyone can now download and alter it, the move was another part of his ongoing campaign to distinguish his efforts from OpenAI, which has not shared its secret sauce with the world, and which Musk is now suing.




Software Development in Sri Lanka

Robotic Automations

Stainless is helping OpenAI, Anthropic and others build SDKs for their APIs | TechCrunch


Besides a focus on generative AI, what do AI startups like OpenAI, Anthropic and Together AI share in common? They use Stainless, a platform created by ex-Stripe staffer Alex Rattray, to generate SDKs for their APIs.

Rattray, who studied economics at the University of Pennsylvania, has been building things for as long as he can remember, from an underground newspaper in high school to a bike-share program in college. Rattray picked up programming on the side while at UPenn, which led to a job at Stripe as an engineer on the developer platform team.

At Stripe, Rattray helped to revamp API documentation and launch the system that powers Stripe’s API client SDK. It’s while working on those projects Rattray observed there wasn’t an easy way for companies, including Stripe, to build SDKs for their APIs at scale.

“Handwriting the SDKs couldn’t scale,” he told TechCrunch. “Today, every API designer has to settle a million and one ‘bikeshed’ questions all over again, and painstakingly enforce consistency around these decisions across their API.”

Now, you might be wondering, why would a company need an SDK if it offers an API? APIs are simply protocols, enabling software components to communicate with each other and transfer data. SDKs, on the other hand, offer a set of software-crafting tools that plug into APIs. Without an SDK to accompany an API, API users are forced to read API docs and build everything themselves, which isn’t the best experience.

Rattray’s solution is Stainless, which takes in an API spec and generates SDKs in a range of programming languages including Python, TypeScript, Kotlin, Go and Java. As APIs evolve and change, Stainless’ platform pushes those updates with options for versioning and publishing changelogs.

“API companies today have a team of several people building libraries in each new language to connect to their API,” Rattray said. “These libraries inevitably become inconsistent, fall out of date and require constant changes from specialist engineers. Stainless fixes that problem by generating them via code.”

Stainless isn’t the only API-to-SDK generator out there. There’s LibLab and Speakeasy, to name a couple, plus longstanding open source projects such as the OpenAPI Generator.

Stainless, however, delivers more “polish” than most others, Rattray said, thanks partly to its use of generative AI.

“Stainless uses generative AI to produce an initial ‘Stainless config’ for customers, which is then up to them to fine-tune to their API,” he explained. “This is particularly valuable for AI companies, whose huge user bases includes many novice developers trying to integrate with complex features like chat streaming and tools.”

Perhaps that’s what attracted customers like OpenAI, Anthropic and Together AI, along with Lithic, LangChain, Orb, Modern Treasury and Cloudflare. Stainless has “dozens” of paying clients in its beta, Rattray said, and some of the SDKs it’s generated, including OpenAI’s Python SDK, are getting millions of downloads per week.

“If your company wants to be a platform, your API is the bedrock of that,” he said. “Great SDKs for your API drive faster integration, broader feature adoption, quicker upgrades and trust in your engineering quality.”

Most customers are paying for Stainless’ enterprise tier, which comes with additional white-glove services and AI-specific functionality. Publishing a single SDK with Stainless is free. But companies have to fork over between $250 per month and $30,000 per year for multiple SDKs across multiple programming languages.

Rattray bootstrapped Stainless “with revenue from day one,” he said, adding that the company could be profitable as soon as this year; annual recurring revenue is hovering around $1 million. But Rattray opted instead to take on outside investment to build new product lines.

Stainless recently closed a $3.5 million seed round with participation from Sequoia and The General Partnership.

“Across the tech ecosystem, Stainless stands out as a beacon that elevates the developer experience, rivaling the high standard once set by Stripe,” said Anthony Kline, partner at The General Partnership. “As APIs continue to be the core building blocks of integrating services like LLMs into applications, Alex’s first-hand experience pioneering Stripe’s API codegen system uniquely positions him to craft Stainless into the quintessential platform for seamless, high-quality API interactions.”

Stainless has a 10-person team based in New York. Rattray expects headcount to grow to 15 or 20 by the end of the year.


Software Development in Sri Lanka

Robotic Automations

Exclusive: Eric Schmidt-backed Augment, a GitHub Copilot rival, launches out of stealth with $252M


AI is supercharging coding — and developers are embracing it.

In a recent StackOverflow poll, 44% of software engineers said that they use AI tools as part of their development processes now and 26% plan to soon. Gartner estimates that over half of organizations are currently piloting or have already deployed AI-driven coding assistants, and that 75% of developers will use coding assistants in some form by 2028.

Ex-Microsoft software developer Igor Ostrovsky believes that soon, there won’t be a developer who doesn’use AI in their workflows. “Software engineering remains a difficult and all-too-often tedious and frustrating job, particularly at scale,” he told TechCrunch. “AI can improve software quality, team productivity and help restore the joy of programming.”

So Ostrovsky decided to build the AI-powered coding platform that he himself would want to use.

That platform is Augment, and on Wednesday it emerged from stealth with $252 million in funding at a near-unicorn ($977 million) post-money valuation. With investments from former Google CEO Eric Schmidt and VCs including Index Ventures, Sutter Hill Ventures, Lightspeed Venture Partners, Innovation Endeavors and Meritech Capital, Augment aims to shake up the still-nascent market for generative AI coding technologies.

“Most companies are dissatisfied with the programs they produce and consume; software is too often fragile, complex and expensive to maintain with development teams bogged down with long backlogs for feature requests, bug fixes, security patches, integration requests, migrations and upgrades,” Ostrovsky said. “Augment has both the best team and recipe for empowering programmers and their organizations to deliver high-quality software quicker.”

Ostrovsky spent nearly seven years at Microsoft before joining Pure Storage, a startup developing flash data storage hardware and software products, as a founding engineer. While at Microsoft, Ostrovsky worked on components of Midori, a next-generation operating system the company never released but whose concepts have made their way into other Microsoft projects over the last decade.

In 2022, Ostrovsky and Guy Gur-Ari, previously an AI research scientist at Google, teamed up to create Augment’s MVP. To fill out the startup’s executive ranks, Ostrovsky and Gur-Ari brought on Scott Dietzen, ex-CEO of Pure Storage, and Dion Almaer, formerly a Google engineering director and a VP of engineering at Shopify.

Augment remains a strangely hush-hush operation.

In our conversation, Ostrovsky wasn’t willing to say much about the user experience or even the generative AI models driving Augment’s features (whatever they may be) — save that Augment is using fine-tuned “industry-leading” open models of some sort.

He did say how Augment plans to make money: standard software-as-a-service subscriptions. Pricing and other details will be revealed later this year, Ostrovsky added, closer to Augment’s planned GA release.

“Our funding provides many years of runway to continue to build what we believe to be the best team in enterprise AI,” he said. “We’re accelerating product development and building out Augment’s product, engineering and go-to-market functions as the company gears up for rapid growth.”

Rapid growth is perhaps the best shot Augment has at making waves in an increasingly cutthroat industry.

Practically every tech giant offers its own version of an AI coding assistant. Microsoft has GitHub Copilot, which is by far the firmest entrenched with over 1.3 million paying individual and 50,000 enterprise customers as of February. Amazon has AWS’ CodeWhisperer. And Google has Gemini Code Assist, recently rebranded from Duet AI for Developers.

Elsewhere, there’s a torrent of coding assistant startups: MagicTabnineCodegen, Refact, TabbyML, Sweep, Laredo and Cognition (which reportedly just raised $175 million), to name a few. Harness and JetBrains, which developed the Kotlin programming language, recently released their own. So did Sentry (albeit with more of a cybersecurity bent). 

Can they all — plus Augment now — do business harmoniously together? It seems unlikely. Eye-watering compute costs alone make the AI coding assistant business a challenging one to maintain. Overruns related to training and serving models forced generative AI coding startup Kite to shut down in December 2022. Even Copilot loses money, to the tune of around $20 to $80 a month per user, according to The Wall Street Journal.

Ostrovsky implies that there’s momentum behind Augment already; he claims that “hundreds” of software developers across “dozens” of companies including payment startup Keeta (which is also Eric Schmidt-backed) are using Augment in early access. But will the uptake sustain? That’s the million-dollar question, indeed.

I also wonder if Augment has made any steps toward solving the technical setbacks plaguing code-generating AI, particularly around vulnerabilities.

An analysis by GitClear, the developer of the code analytics tool of the same name, found that coding assistants are resulting in more mistaken code being pushed to codebases, creating headaches for software maintainers. Security researchers have warned that generative coding tools tools can amplify existing bugs and exploits in projects. And Stanford researchers have found that developers who accept code recommendations from AI assistants tend to produce less secure code.

Then there’s copyright to worry about.

Augment’s models were undoubtedly trained on publicly available data, like all generative AI models — some of which may’ve been copyrighted or under a restrictive license. Some vendors have argued that fair use doctrine shields them from copyright claims while at the same time rolling out tools to mitigate potential infringement. But that hasn’t stopped coders from filing class action lawsuits over what they allege are open licensing and IP violations.

To all this, Ostrovsky says: “Current AI coding assistants don’t adequately understand the programmer’s intent, improve software quality nor facilitate team productivity, and they don’t properly protect intellectual property. Augment’s engineering team boasts deep AI and systems expertise. We’re poised to bring AI coding assistance innovations to developers and software teams.”

Augment, which is based in Palo Alto, has around 50 employees; Ostrovsky expects that number to double by the end of the year.


Software Development in Sri Lanka

Robotic Automations

Exclusive: Simbian brings AI to existing security tools


Ambuj Kumar is nothing if not ambitious.

An electrical engineer by training, Kumar led hardware design for eight years at Nvidia, helping to develop tech including a widely used high-speed memory controller for GPUs. After leaving Nvidia in 2010, Kumar pivoted to cybersecurity, eventually co-founding Fortanix, a cloud data security platform.

It was while heading up Fortanix that the idea for Kumar’s next venture came to him: an AI-powered tool to automate a company’s cybersecurity workflows, inspired by challenges he observed in the cybersecurity industry.

“Security leaders are stressed,” Kumar told TechCrunch. “CISOs don’t last more than a couple of years on average, and security analysts have some of the highest churn. And things are getting worse.”

Kumar’s solution, which he co-founded with former Twitter software engineer Alankrit Chona, is Simbian, a cybersecurity platform that effectively controls other cybersecurity platforms as well as security apps and tooling. Leveraging AI, Simbian can automatically orchestrate and operate existing security tools, finding the right configurations for each product by taking into account a company’s priorities and thresholds for security, informed by their business requirements.

With Simbian’s chatbot-like interface, users can type in a cybersecurity goal in natural language, then have Simbian provide personalized recommendations and generate what Kumar describes as “automated actions” to execute the actions (as best it can).

“Security companies have focused on making their own products better, which leads to a very fragmented industry,” Kumar said. “This results in a higher operational burden for organizations.”

To Kumar’s point, polls show that cybersecurity budgets are often wasted on an overabundance of tools. More than half of businesses feel that they’ve misspent around 50% of their budgets and still can’t remediate threats, according to one survey cited by Forbes. A separate study found that organizations now juggle on average 76 security tools, leading IT teams and leaders to feel overwhelmed.

“Security has been a cat-and-mouse game between attackers and defenders for a long time; the attack surface keeps growing due to IT growth,” Kumar said, adding that there’s “not enough talent to go around.” (One recent survey from Cybersecurity Ventures, a security-focused VC firm, estimates that the shortfall of cyber experts will reach 3.5 million people by 2025.)

In addition to automatically configuring a company’s security tools, the Simbian platform attempts to respond to “security events” by letting customers steer security while taking care of lower-level details. This, Kumar says, can significantly cut down on the number of alerts a security analyst must respond to.

But that assumes Simbian’s AI doesn’t make mistakes, a tall order, given that it’s well established that AI is error-prone.

To minimize the potential for off-the-rails behavior, Simbian’s AI was trained using a crowdsourcing approach — a game on its website called “Are you smarter than an LLM?” — that tasked volunteers with trying to “trick” the AI into doing the wrong thing. Kumar explained that Simbian used this learning, along with in-house researchers, to “ensure the AI does the right thing in its use cases.”

This means that Simbian effectively outsourced part of its AI training to unpaid gamers. But, to be fair, it’s unclear how many people actually played the company’s game; Kumar wouldn’t say.

There are privacy implications of a system that controls other systems, especially concerning those that are security-related. Would companies — and vendors, for that matter — be comfortable with sensitive data funneling through a single, AI-controlled centralized portal?

Kumar claims that every attempt has been made to protect against data compromise. Simbian uses encryption — customers control the encryption keys — and customers can delete their data at any time.

“As a customer, you have full control,” he said.

While Simbian isn’t the only platform to attempt to apply a layer of AI over existing security tools — Nexusflow offers a product along a similar vein — it appears to have won over investors. The company recently raised $10 million from investors including Coinbase board member Gokul Rajaram, Cota Capital partner Aditya Singh, Icon Ventures, Firebolt and Rain Capital.

“Cybersecurity is one of the most important problems of our time, and has famously fragmented ecosystem with thousands of vendors,” Rajaram told TechCrunch via email. “Companies have tried to build expertise around specific products and problems. I applaud Simbian’s method of building an integrated platform that would understand and operate all of security. While this is extremely challenging approach from technology perspective, I’ll put my money — and I did put my money — on Simbian. It’s the team with unique experience all the way from hardware to cloud.”

Mountain View-based Simbian, which has 15 employees, plans to put the bulk of the capital it’s raised toward product development. Kumar’s aiming to double the size of the startup’s workforce by the end of the year.


Software Development in Sri Lanka

Robotic Automations

Tesla Semi charging corridor project is still alive despite Biden admin funding snub | TechCrunch


Tesla is pushing forward with a plan to build an electric big rig charging corridor stretching from Texas to California, despite being snubbed by a lucrative federal funding program that’s part of Biden’s Bipartisan Infrastructure Law. But the original scope of the project could still change, TechCrunch has learned.

The company had been seeking nearly $100 million from the Charging and Fueling Infrastructure (CFI) Discretionary Grant program under the Federal Highway Administration (FHWA). Combined with around $24 million of its own money, Tesla wanted to build nine electric semi-truck charging stations between Laredo, Texas and Fremont, California.

The corridor, if built, would be a first-of-its-kind charging network that could enable both long-distance and regional electric trucking and help clean up a big chunk of the otherwise dirty transportation sector. Without it, though, Tesla’s promise to electrify heavy-duty trucking could fall even farther behind schedule than it already is.

The project as pitched to the FHWA was called TESSERACT, which stands for “Transport Electrification Supporting Semis Operating in Arizona, California, and Texas,” according to a slide buried in a 964-page filing with the South Coast Air Quality Management District. (Tesla collaborated with SCAQMD on the application.)

But Tesla was not among the 47 recipients that the Biden administration announced in January. Collectively, those winners received $623 million to build electric vehicle charging and refueling stations across the country. This is despite Tesla winning around 13% of all other charging awards so far from the Infrastructure Act, though that has only netted the company around $17 million.

Rohan Patel, who left his VP position at Tesla this week as the company laid off 10% of its workforce, said in a message to TechCrunch that Tesla may turn to state funding opportunities, or future rounds of the CFI program. Some of the sites along the route “are no-brainers even without funding,” he said.

Image Credits: TechCrunch

The 1,800-mile route would theoretically connect Tesla’s two North American vehicle factories, as well as one that is planned — but delayed — in Mexico. Each station was originally slated to be equipped with eight 750kW chargers for Tesla Semis, and four chargers open to other electric trucks. It’s unclear how effective it would be if the company was unable to build all nine stations, which are situated at roughly equal distances along the route.

About half of the Biden administration’s choices for the CFI funding focused on building out EV charging infrastructure in “urban and rural communities, including at convenient and high-use locations like schools, parks, libraries, multi-family housing, and more.”

The other half was dedicated to funding 11 “corridor” projects, including a number on the same I-10 corridor that makes up part of Tesla’s proposed route. That includes $70 million to the North Texas Council of Governments to build up to five hydrogen fueling stations for medium and heavy-duty trucks in the Dallas, Houston, Austin, and San Antonio areas.

“The project will help create a hydrogen corridor from southern California to Texas,” the Department of Transportation wrote in a statement in January.

“Funding hydrogen stations will go down as purely wasted money,” Patel told TechCrunch this week.

While he no longer speaks on behalf of Tesla, he also criticized funding hydrogen infrastructure when he was still with the company.

“Governments around the globe are wasting tax dollars on hydrogen for light/heavy duty infrastructure,” he wrote on X in February. “Like smoking, it’s never too late to quit.”

Funding isn’t the only challenge to the project. Another complicating factor could be Tesla’s recent restructuring.

Tesla CEO Elon Musk has said the company is now “balls to the wall for autonomy,” and has reportedly already sacrificed a planned low-cost EV in favor of making a purpose-built robotaxi the company’s priority. The Semi is years behind schedule, and Tesla has only built around 100 to date.

Despite all this, the Tesla Semi program is still slowly attracting customers. Just a few days after the restructuring, the head of the Semi program Dan Priestly announced via social media a new potential customer for the trucks. Priestly also said in March that Tesla has been using Semis to ship battery packs from Nevada to the Fremont factory.




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Orbex's new funding may accelerate its Prime microlauncher into orbit | TechCrunch


UK-based small launch developer Orbex got another boost from Scotland’s national bank and other investors as it gears up for its first orbital launch, though that mission still does not have a set date.

Founded in 2015, Orbex is one of a handful of firms racing to develop the next generation of European launch vehicles. These companies are looking to fill the massive gap left by the retirement of the Ariane 5 and major delays to the Ariane 6 and Vega C rockets; the absence of these vehicles means there is essentially zero native launch capacity coming out of Europe.

But the absence also means opportunity for Orbex. The company is developing what’s sometimes called a microlauncher: a two-stage vehicle called Prime that stands just 19 meters tall, designed to carry payloads up to 180 kilograms. The closest comparison is Rocket Lab’s Electron, which is a meter shorter but can carry up to 300 kilograms.

To Orbex, this small stature is a benefit, not a drawback, and Orbex CEO Philip Chambers told TechCrunch via email that the company is seeing “positive market conditions” for its product.

“We are seeing an exponential growth of satellites being launched into LEO and demand for launch is far exceeding supply – at the present time it’s not possible to launch a single kilogram from Europe and there is pent-up demand for sovereign launch capabilities,” he said. “We will offer freedom of action to European customers to be in control of their own launches and launch European Payloads from European soil.”

Prime will be launched from a new spaceport in Sutherland, northern Scotland, which is being constructed with the help of funding from UK’s national space agency. The aim is eventually to incorporate a patented recovery technology which the company calls REFLIGHT. This is an interstage structure that sits between the rocket stages; after the booster detaches, four ‘petals’ will fold out and, along with a parachute, create enough drag to enable a soft ocean splashdown.

A larger vehicle could eventually be in the plans as well, though Chambers was clear that Prime was the company’s first priority. However, he said that many of that rocket’s core technologies could scale to support larger payloads.

“The laws of physics dictate that if you want to compete on cost per kg you need to do this with larger vehicles, therefore, I think that it makes sense for Orbex to consider this.”

The company is kicking off its Series D with £16.7 million ($20.7 million) in fresh funding, with additional contributions from Octopus Ventures, BGF, Heartcore, EIFO and others. The new capital comes after Orbex closed a £40.4 million ($50 million) Series C in October 2022. While a spokesperson confirmed the new funding will “help Orbex ramp up the development of Prime … to ensure full readiness and scalability for its launch period,” a firm launch window has yet to be announced.


Software Development in Sri Lanka

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Evolution Equity Partners raises $1.1B for new cybersecurity and AI fund | TechCrunch


Cybersecurity has had a rough go of it lately, with investment in the sector dropping a precipitous 40% compared to the year prior. But there’s promising early — if preliminary — signs of a recovery.

The vast majority of chief information security officers reported higher budgets for 2024, according to the cybersecurity-focused VC firm NightDragon. And, despite lower overall investment in the cybersecurity industry in Q1 2024, the number of deals increased compared to Q1 2023, per recruitment outfit Pinpoint.

It’s against this backdrop that Evolution Equity Partners, a growth capital investment firm based in NYC, today launched a $1.1 billion cybersecurity and AI fund, the third such fund in Evolution’s history.

The fund — Evolution Technology Fund III — was oversubscribed, with participation from existing and new endowments, sovereign investors, insurance companies, foundations, fund of funds, family offices and angels. It’ll pursue investments ranging from $20 million to $150 million in cybersecurity firms and startups leveraging machine learning and AI to build “market-leading” platforms, Richard Seewald, managing partner at Evolution and one of the firm’s founders, told TechCrunch.

“The Evolution Technology Fund III has already backed fifteen leading cybersecurity companies, initiating its investment period over 12 months ago,” Seewald said. “We expect to invest in a portfolio of up to thirty companies in the present fund. We’ll work with management teams and founders, providing them with support and insight in areas including sales and marketing, product technology, human capital, M&A and business development, really enabling them to excel.”

With Evolution Technology Fund III, Evolution’s strategy will be to reserve ~75% of the $1.1 billion total for early-growth-stage companies, ~15% for later-growth-stage startups and ~10% for earlier-stage VC tranches, with investments to be made not only in North America but in Europe and Israel — a hotspot for security tech.

“Our strategy is to invest that fund in a diversified portfolio across the different stages of maturity,” Seewald said. “We believe that provides private markets investors with diversified exposure to cybersecurity opportunities.”

ESG will be another factor, according to Seewald.

“Evolution is committed to integrating material environmental, social and governance (ESG) criteria in its investment processes and ownership practices,” he said. “We actively engage with our portfolio companies creating diverse boards and leadership teams bringing varied perspectives to decision-making processes, reducing the risk of groupthink and enhancing accountability.”

We’ll hold them to it.

Evolution, which has offices in Palo Alto, London and Zurich in addition to New York, was founded in 2008 by Seewald and Dennis Smith, who met while working together at the cybersecurity giant AVG (now owned by Avast). J.R. Smith and Karel Obluk — the former CEO and chief scientist at AVG, respectively — joined Seewald and Smith to start Evolution after AVG went public.

Evolution’s 30-person teams manages around $2 billion in assets and has backed 60 companies to date; its previous fund was $400 million. Among some of the firm’s more successful bets are Arctic Wolf (which is planning for an IPO), Talon Cyber (which is reportedly in negotiations with Palo Alto Networks for an M&A deal), Snyk, Aqua Security, SecurityScorecard and Carbon Black.


Software Development in Sri Lanka

Robotic Automations

GovDash aims to help businesses use AI to land government contracts | TechCrunch


Tim Goltser and Curtis Mason have been building things together since high school, when the two were the co-captains of their school’s robotics team. In college, Goltser and Mason teamed up to create an app — Hang, for scheduling hangouts with friends — with Sean Doherty, who Mason had met while an undergrad at Boston University.

Fast forward to 2022, and Goltser and Mason — along with Doherty — felt the entrepreneurial itch strike again. After considering a few ideas, they decided to go after what they saw as a largely unaddressed market: Tools to help small businesses secure U.S. government contracts.

“The federal contracting community has seen a shrinking of the small business industrial base for much of the past decade,” Doherty told TechCrunch. “It’s hard for these companies to compete against giants like Lockheed Martin or Northrop Grumman. It’s also expensive for them to bid on contracts — if they don’t win, they may run out of cash.”

As a result of labyrinthine systems and mountains of paperwork, finding and bidding for U.S. federal contracts is a laborious process. It takes weeks at a minimum to complete, according to Doherty — and often the best-resourced companies are the most successful.

In a 2023 survey from Setscale, a purchase order financing startup, small business owners cited insufficient cash flow and working capital — and a lack of time and resources — as their top roadblocks to securing government contracts.

To attempt to give these small businesses a boost, Goltser, Mason and Doherty founded GovDash, a platform that provides workflows to support government contract capture, proposal, development and management processes. GovDash was accepted to Y Combinator in 2022; Goltser dropped out of college to help spearhead it.

GovDash is essentially a contract proposal generator. The platform automatically finds contracts possibly relevant to a business, reads through the requests for proposals and — leveraging generative AI — writes proposals

GovDash can trawl through solicitation documents to identify requirements, requested formats, evaluation factors and submission schedules for contracts, Doherty says. It can also identify contracts a business might be qualified for based on their past performance, sending alerts to the inbox of a customer’s choosing, according to Doherty.

“When a contractor wants to respond to a government solicitation, they can run that through GovDash to produce a proposal in a fraction of the time,” Doherty said.

Now, generative AI makes mistakes. It’s a well-established fact. So why should businesses expect GovDash to be any different?

Two reasons, argues Doherty.

One, GovDash built a system that cross-checks a businesses’ info to see just how relevant the business is to a given federal contract. If the relevancy — as judged by the system — isn’t obvious, GovDash prompts the business to template out sections of the contract proposal with more information.

GovDash’s platform tries to automate many of the more tedious aspects of going after — and securing — U.S. federal contracts.

Two, GovDash involves heavy human review. At each stage of the proposal-generating process, the platform checks in with a human reviewer to get their seal of approval.

These steps — cross-checking and human review — aren’t infallible, Doherty admits. But he claims they’re better than what a lot of the competition’s doing.

“Companies now have one place where their business development data flows seamlessly, with an AI agent at its core to automate tedious workflows,” Doherty said. “This is a huge win for the C-suite as they can get out more proposals, at a higher quality level, in a fraction of the time, and put all the associated workflows on autopilot.”

GovDash’s competition is growing — and quickly.

GovDash competes with Govly, whose platform lets companies assess, search and analyze government contracting requirements across disparate sources. A more recent rival, Hazel, aims to use AI to automate government contracting discovery, drafting and compliance. Both — like GovDash — are Y Combinator-backed, interestingly.

But Doherty claims that GovDash is positioned well for expansion.

Having raised $12 million from investors including Northzone and Y Combinator, inclusive of a $10 million Series A funding tranche this month, GovDash plans to grow its engineering team, hire additional federal proposal managers to guide its product efforts and add new capabilities to its existing platform.

New York-based, six-employee GovDash currently works with around 30 federal contractors across the U.S., Doherty said, and is “nearly” cash-flow positive.

“We’re building for the long term for our customer base,” Doherty said. “[We’re] well-capitalized for eventual market tailwinds.”


Software Development in Sri Lanka

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