Geek to Geek
Todayâs tech-driven world can make emotional connections seem even further away when you never take theâtime to meet someone. Youth are always looking for a new way to express and be understood, but most tech gadgets are considered cold, functional, and impersonal. Even though thereâs a deluge of smartâdevices, precious little is built to interact […]
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British startup Synthesia, whose AI platform helps companies create interactive training videos, has raised a $200 million Series E round of funding that brings its valuation to $4 billion — up from $2.1 billion just a year ago.
Unlike some other AI startups that are still a long way from turning a profit, Synthesia has found a lucrative business in transforming corporate training thanks to AI-generated avatars. With enterprise clients including Bosch, Merck, and SAP, the London-based company crossed $100 million in annual recurring revenue (ARR) in April 2025.
This milestone explains why Synthesia’s venture backers are literally doubling down. The Series E that nearly doubled its valuation was led by existing investor GV (Google Ventures), with participation from several other previous backers — including Series B lead Kleiner Perkins, Series C lead Accel, Series D lead New Enterprise Associates (NEA), NVIDIA’s venture capital arm NVentures, Air Street Capital, and PSP Growth.
Aside from ongoing support, this round will bring both new and departing investors. On one hand, Matt Miller’s VC firm Evantic and the secretive VC firm Hedosophia are joining the cap table as new entrants. On the other hand, Synthesia will facilitate an employee secondary sale in partnership with Nasdaq, TechCrunch has learned.
To be clear, Synthesia isn’t going public just yet — Nasdaq isn’t acting as a public exchange in this operation, but as a private markets facilitator that will help early team members turn their shares into cash. These employee stock sales often happen outside of this framework, but usually at prices either below or above the company’s official valuation, and are sometimes frowned upon by other shareholders. With this process, all sales will be tied to the same $4 billion valuation as Synthesia’s Series E, while the company keeps an element of control.
“This secondary is first and foremost about our employees,” Synthesia CFO Daniel Kim told TechCrunch. “It gives employees a meaningful opportunity to access liquidity and share in the value they’ve helped create, while we continue to operate as a private company focused on long-term growth.”
For Synthesia, this long-term growth involves going beyond expressive videos and embracing the AI agents trend. According to a press release, the company is developing AI agents that will let its clients’ employees “interact with company knowledge in a more intuitive, human-like way by asking questions, exploring scenarios through role-play, and receiving tailored explanations.”
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The company said early pilots have received positive feedback from customers, who reported higher engagement and faster knowledge transfer compared to traditional formats. This positive response explains why Synthesia now plans to make agents a “core strategic focus” to invest in, alongside further product improvements to its existing platform.
While it didn’t disclose revenue forecasts, the company hopes its platform will offer a welcome answer to the struggles of enterprises in keeping their workforce adequately trained despite rapid changes. “We see a rare convergence of two major shifts: a technology shift with AI agents becoming more capable, and a market shift where upskilling and internal knowledge sharing have become board-level priorities,” Synthesia’s co-founder and CEO Victor Riparbelli said in a statement.
Seeing boards care more about employees as a result of AI wasn’t on anyone’s bingo card, except perhaps Riparbelli. Together with his cofounder, Synthesia COO Steffen Tjerrild, Riparbelli took the initiative of conducting a secondary sale so that employees could share in the success of the unicorn company. Founded in 2017, Synthesia now has more than 500 team members, a 20,000-square-foot HQ in London, and additional offices in Amsterdam, Copenhagen, Munich, New York City, and Zurich.
While unusual for a British startup, this coordinated secondary sale isn’t a first and likely not a last, Synthesia’s head of corporate affairs and policy, Alexandru Voica told TechCrunch. “My guess is that as [U.K.-based] private companies stay private longer, this type of structured, cross-border employee liquidity may become increasingly common, so I wouldn’t be surprised to see others do it, either with Nasdaq or others,” he predicted.
Google Photos is rolling out a new AI feature called Me Meme that lets you recreate trending memes with photos of yourself.
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Ryan Mitchell, the founder of a startup called Space Beyond, remembers looking at the night sky while camping at a state park and wondering what he should do next.
A manufacturing engineer who worked on NASA’s space shuttle program before spending nearly a decade at Jeff Bezos’ space company, Blue Origin, Mitchell was considering his options. In those jobs, he had seen the cost to access space come down dramatically, thanks in large part to Blue Origin’s rival SpaceX. Those stars in the sky, he thought, seemed closer than ever.
Mitchell told TechCrunch that an idea finally clicked when he was attending a family member’s ash-spreading ceremony.
“When it was over, we were kind of like, ‘now what?’ The moment was gone,” he said. He remembered thinking: “How could I do this better?”
That, he said, was the beginning of building Space Beyond and its “Ashes to Space” program, which will use a CubeSat, a class of miniature cube-shaped satellites, to send as many as 1,000 people’s ashes to space in one go. On Thursday, Space Beyond announced it signed a launch services agreement with Arrow Science & Technology, which will integrate the CubeSat on a SpaceX Falcon 9 rideshare mission scheduled for October 2027.
Sending people’s ashes to space is not a new idea. Companies like Celestis have been doing it since the 1990s. What Mitchell said is different about Space Beyond is that it’s doing it affordably — with its cheapest offering coming in at just $249. Other options typically cost in the thousands of dollars. (That said, customers will need to have the cremation performed elsewhere.)
Mitchell said Space Beyond has achieved this a few ways. Foremost is the ride-share model, which has greatly democratized access to space in general. Companies can now develop small CubeSats that get integrated into larger spacecraft for a fraction of the total price to hitch a ride on a Falcon 9, allowing for all sorts of new science and small-scale commercial missions.
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But Space Beyond is also bootstrapped and not trying to generate big returns for investors.
“I’ve been told I’m not charging enough for this service,” he said, especially when considering how the funeral industry is built around over-charging people at one of their most vulnerable moments. “But I’m not looking to take over the world, and I’m not looking to make a billion dollars doing this.”
There are limits to what Space Beyond can offer given the CubeSat format. For one, customers will only be able to send about one gram’s worth of ashes to space. This allows for the startup to fit enough customers’ ashes on board to make the idea financially viable. But it’s also a result of the fact that — despite the easier access to space — weight is still a huge consideration for launch providers like SpaceX.
Space Beyond’s CubeSat will also only be in orbit for about five years, so this is not a memorial that will last forever.
But Mitchell said there are benefits to this approach. The company’s CubeSat will be in what’s known as a “sun-synchronous orbit,” which is at a very high altitude of around 550 kilometers (or around 341 miles). This allows the satellite to fly over the entire globe. With many modern spacecraft tracking services available, customers should be able to locate the CubeSat and know when it is in the night sky above their home.
A five-year limit also means that the aluminum CubeSat and the ashes onboard will ultimately meet a fiery end as it burns up in the Earth’s atmosphere upon re-entry — a nice symbolic ending, Mitchell said, even if there’s no guarantee that customers will be able to see the resulting fireball.
Space Beyond will also never physically spread a customer’s ashes in space. That would be “almost a nightmare scenario,” Mitchell said, as the particles could create a debris cloud that could doom other spacecraft. But given that customers can only send around one gram per space, they’ll be able to do what they want with the rest of a loved one’s ashes.
When Mitchell left Blue Origin last year, he said he filled “several pages” of a notebook with ideas of what to do next. The range was wide, including options like trying to be a launch director at another space company, or becoming a Kava bartender. Something kept pulling him back to this one, though.
“I tried to talk myself out of [this idea] for a long time. I thought it would be too expensive or too difficult,” he explained. But he said it just made sense to him “every time I put actual engineering rigor to it, figured out what the requirements are, and what the business case is.”
It was also the idea that he was clearly most obsessed with. “My wife said: ‘I could have told you that weeks ago. You can’t stop talking about this,’” he said.
Elon Musk says Tesla will start selling Optimus humanoid robots to the public by the end of 2027, pending safety and reliability.
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Kais Khimji has spent most of his professional career as a venture investor, including six years as a partner at the prominent VC firm Sequoia Capital.
But just like several other former Sequoia partners — including David Vélez, who founded the Brazilian digital bank Nubank — Khimji (pictured left) has always wanted to be a startup founder. On Thursday, he announced that he has revived an idea he began working on as a student at Harvard about 10 years ago, turning it into the AI calendar-scheduling company Blockit. In a major vote of confidence, Khimji’s former employer, Sequoia, led the company’s $5 million seed round.
“Blockit has a chance to become a $1Bn+ revenue business, and Kais will make sure it gets there,” Pat Grady, Sequoia’s general partner and co-steward who led the investment, wrote in a blog post.
While many startups have tried to automate scheduling in the past, Khimji believes that thanks to advances in LLMs, Blockit’s AI agents can handle scheduling more seamlessly and efficiently than many of its predecessors, including now-defunct startups Clara Labs and x.ai. (Yes, that domain name ended up with Elon Musk’s AI company.)
Unlike the current category leader Calendly, which was last valued at $3 billion and relies on users sharing links to find availability, Blockit is betting that its AI agents can master the nuance required to handle the entire scheduling process without human involvement.
With Blockit, Khimji and co-founder John Hahn — who previously worked on calendar products, including Timeful, Google Calendar, and Clockwise — are building what is essentially an AI social network for people’s time.
“It always felt very odd. I have a time database — my calendar. You have a time database — your calendar, and our databases just can’t talk to each other,” Khimji told TechCrunch.
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Khimji says that Blockit can finally solve this disconnection. When two users need to meet, their respective AI agents communicate directly to negotiate a time, bypassing the typical back-and-forth emails entirely.
Users can invoke the Blockit agent by copying it on an email or messaging it in Slack about a meeting. The bot then takes over the logistics, negotiating a mutually convenient time and location that fits the preferences of all participants.
Khimji said that Blockit can work as seamlessly as a human executive assistant. Users simply need to provide the system with specific instructions about their preferences, such as which meetings are nonnegotiable and which are “movable” based on daily needs. “Sometimes my calendar is crazy, so I need to skip lunch, and the agent needs to know that it’s okay to skip lunch,” he said.
The system can even be trained to prioritize meetings based on the tone of an email. For instance, a user might instruct the agent that a meeting request signed with a formal “Best regards” should take precedence over a casual interaction ending with “Cheers.”
By learning the preferences of its users, Blockit appears to be capitalizing on what venture firm Foundation Capital’s partners Jaya Gupta and Ashu Garg call “context graphs.” In a widely shared essay, the investors describe a multibillion-dollar opportunity for AI agents to capture the “why” behind every business decision by relying on the hidden logic that previously only existed in a person’s head.
Blockit is already being used by more than 200 companies, including AI startup Together.ai, the newly acquired fintech company Brex, and robotics startup Rogo, as well as venture firms a16z, Accel, and Index. The app is available for free for 30 days. After that, it costs $1,000 annually for individual users and $5,000 annually for a team license with support for multiple users, Khimji said.
ASUSâ ROG Swift OLED PG27AQWP-W 720Hz Tandem OLED gaming monitor is now available for preorder with dual-mode refresh rates.
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Apple may be developing its own AI wearable, according to a report published Wednesday by The Information. The device will be a pin that users can wear on their clothing, and that comes equipped with two cameras and three microphones, the report says.
Should the rumored device come to market, it would mark another sign that the AI hardware market is heating up. This news follows comments made Monday by OpenAI Chief Global Affairs Officer Chris Lehane, who told a Davos crowd that his company will likely announce its highly antipated, first AI hardware device in the second half of this year. Additional reporting suggests that the device may be a pair of earbuds.
Apple’s device is described as a “thin, flat, circular disc with an aluminum-and-glass shell,” which engineers hope to make the same size as an AirTag, “only slightly thicker.” The pin will also have two cameras (one with a standard lens and another with a wide-angle) for pictures and video, as well as a physical button, a speaker, and a FitBit-like charging strip on its back, according to the report.
Apple may even be in the process of trying to accelerate development of this product to compete with OpenAI’s. The pin could potentially be released in 2027 and involve 20 million units at launch, the report notes. TechCrunch reached out to Apple for more information.
But it remains to be seen if consumers want this kind of AI device. Two Apple alums previously founded Humane AI, a startup which also sold an AI pin. Humane’s pin also included built-in microphones and a camera. However, it floundered upon release, and the company had to shut down operations and sell its assets to HP within two years of its product launch.
Apple is reportedly rebuilding Siri into a full AI chatbot, a shift that could make future interactions feel closer to ChatGPT or Gemini as the company works to modernise its long-criticised assistant.
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Last year was a tumultuous one for the U.S. semiconductor industry.
From leadership changes at legacy companies to continuously changing dialogue around AI chip export controls, a lot has happened. If the first few weeks of 2026, which saw new chip tariffs and international semiconductor deals, are any indicator — this year will be as unexpected as the last.
But before we get too deep into 2026, here is a final look at everything that happened in the U.S. semiconductor industry in 2025:
December 24: Nvidia announced that it struck a non-exclusive licensing deal with chip maker Groq. While this wasn’t an acquisition, Nvidia hired Groq’s founder and president, in addition to other employees. The company also bought $20 billion worth of Groq’s assets.
December 8: The U.S. Department of Commerce decided that Nvidia and AMD can send AI chips to China after all, a stark reversal to past messaging. The U.S. government specifically said Nvidia could sell its H200 chips, which are much more advanced than its H20 chips, to approved customers.
November 19: Nvidia reported record results in its third-quarter earnings report. The company racked up $57 billion in revenue in Q3, a 66% increase over the same quarter in 2024. A large portion of that revenue came from Nvidia’s data center business.
October 9: Intel announced a new processor, dubbed Panther Lake, that is part of the company’s Intel Core Ultra processor family. This will be the first one built on the company’s 18A semiconductor process and will be exclusively made at Intel’s Arizona fab factory.
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September 26: We got the first inkling of what the Trump administration’s semiconductor tariffs could look like at the end of September. Rumors started swirling that the administration would require semiconductor companies to produce the same volume of chips domestically as they do internationally, or they would otherwise be subject to tariffs.
September 17: China’s campaign against Nvidia continued when the country told its domestic companies not to buy Nvidia’s chips. The Cyberspace Administration of China banned local companies from buying Nvidia’s chips in an effort to boost domestic chip sales.
September 15: Despite being given a loose green light to start selling chips again in China, the process was not going to be smooth sailing for Nvidia. China’s State Administration for Market Regulation ruled that Nvidia violated the country’s antitrust regulations regarding the company’s 2020 acquisition of Mellanox Technologies.
September 9: Just a few short weeks after the U.S. government took an equity stake in Intel, the company made some notable leadership changes. Michelle Johnston Holthaus, the chief executive officer of Intel products, departed after three decades. The company also created a central engineering group.
August 27: The turmoil in the semiconductor market over the year had clearly not hurt Nvidia. On August 27, the company reported that it had record sales in the second quarter. The highlights were the growth of its data center business, which saw its revenue grow 56% year over year.
August 22: The U.S. government announced it was converting existing government grants into a 10% stake in Intel. The deal was structured to penalize Intel if the company’s ownership in its foundry program dropped below 50%.
August 18: Japanese conglomerate SoftBank announced it was taking a $2 billion stake in Intel. SoftBank CEO Masayoshi Son called the deal “strategic.” The transaction was announced as rumors were swirling that the U.S. was going to take a stake in the company.
August 12: Nvidia and AMD announced that they struck a deal with the U.S. government to gain the necessary license to sell their AI chips in China. Both companies agreed to pay the U.S. government 15% of revenue from their chip sales in China.
August 11: Intel CEO Lip-Bu Tan went to the White House to meet with President Trump. The pair talked about Tan’s past and how Intel can help the U.S. with its goal of bringing semiconductor manufacturing back to the U.S. Both called the conversation productive.
August 7: President Donald Trump demanded that Intel CEO Lip-Bu Tan “resign immediately” due to “conflicts of interest” in a Truth Social post. While Trump didn’t clarify what the conflicts of interest were, this came the day after Republican Senator Tom Cotton sent a letter to Intel’s board of directors inquiring about Tan’s ties to China.
August 5: President Donald Trump told CNBC’s Squawk Box that he was planning to announce tariffs on the semiconductor industry as soon as the following week. At the time, he didn’t mention specifics on what these tariffs could look like. As of September 5, no tariffs have been announced for this industry.
July 25: Just one day after its second-quarter earnings call, Intel confirmed that it was spinning out its Network and Edge group, which is responsible for making chips for the telecom industry. The business unit produced $5.8 billion in revenue for the semiconductor company in 2024.
July 24: Intel announced that it was pulling back on some of its manufacturing operations. The company said it will longer pursue its previously announced projects in Germany and Poland and that it was consolidating its test operations. Intel also announced it plans to end this year with around 75,000 employees.
July 23: The Trump administration unveiled its much-anticipated AI Action Plan alongside multiple related executive orders. While the plan included a lot regarding the need for U.S. chip export controls and for the U.S. to coordinate with its allies on this effort, it didn’t provide concrete information on what those restrictions would look like.
July 17: The Trump administration helped foster a groundbreaking deal in May that resulted in a commitment from the United Arab Emirates to buy billions of dollars’ worth of AI chips from Nvidia. But now that deal was reportedly on hold as the U.S. worked through national security concerns and fears that those chips could be smuggled from the Middle East to China.
July 16: A day after semiconductor firms like Nvidia and AMD got the green light to resume selling certain AI chips to China, we found out why. U.S. Commerce Security Howard Lutnick said the plans to allow U.S. companies to start selling AI chips in China are tied to ongoing trade discussions between the U.S. and China regarding rare earth elements.
July 14: Nvidia said it was filing an application to restart sales of H20 AI chips in China, confirming rumors from a few weeks prior. The company also announced that it would be selling a new chip, the RTX Pro, which was designed specifically for the Chinese market.
July 14: Malaysia announced that it was launching trade permits for U.S.-made AI chips. Under this new restriction, any individual or business would need to give the Malaysian government 30 days’ notice before exporting any U.S. AI chips.
June 18: Intel announced four new leadership appointments that Intel said will help it move toward its goal of becoming an engineering-first company again. Intel announced a new chief revenue officer in addition to multiple high-profile engineering hires.
June 17: Intel began laying off a significant chunk of its Intel Foundry staff in July, according to various media reports. The company later confirmed it was restructuring. Reports said it planned to eliminate 15% to 20%, of workers in that business unit. These layoffs weren’t a shock: Layoffs were rumored back in April, and Intel’s CEO Lip-Bu Tan had said he wants to flatten the organization.
June 13: Nvidia wasn’t counting on the U.S. backing off from its AI chip export restrictions. After the company took a financial hit from the newly imposed licensing requirements on its H20 AI chips, Nvidia CEO Jensen Huang said the company will no longer include the Chinese market in future revenue and profit forecasts.
June 6: AMD made another acquisition — this time focused on talent. The company acqui-hired the team behind Untether AI, which develops AI inference chips, as the semiconductor giant continues to round out its AI offerings.
June 4: AMD continued its shopping spree. The company acquired AI software optimization startup Brium, which helps companies retrofit AI software to work with different AI hardware. With a lot of AI software being designed with Nvidia hardware in mind, this acquisition isn’t surprising.
May 28: Nvidia reported that U.S. licensing requirements on its H20 AI chips cost the company $4.5 billion in charges during Q1. The company expected these requirements to result in an $8 billion hit to Nvidia’s revenue in Q2.
May 28: AMD kicked off its acquisition spree. The semiconductor company announced that it acquired Enosemi, a silicon photonics startup. Enosemi’s tech, which uses light photons to transmit data, is becoming an increasing area of interest for semiconductor companies.
May 21: China’s Commerce Secretary didn’t like the U.S. guidance, issued on May 13, that warned U.S. companies that using Huawei’s AI chips “anywhere in the world” was a U.S. chip export violation. The commerce secretary issued a statement that threatened legal action against anyone caught enforcing that export restriction.
May 20: Intel CEO Lip-Bu Tan seemingly got right to work on his plan to spin out Intel’s non-core business units. Back in May, the semiconductor giant was reportedly looking to offload its Networking and Edge units, which make chips for telecom equipment, and was responsible for $5.4 billion of the company’s 2024 revenue.
May 13: Just days before the Biden administration’s Artificial Intelligence Diffusion Rule was set to go into place, the U.S. Department of Commerce formally rescinded it. The DOC said that it plans to issue new guidance in the future, and in the meantime, companies should remember that using Huawei’s Ascend AI chips anywhere in the world is a violation of U.S. export rules.
May 7: Just a week before the “Framework for Artificial Intelligence Diffusion” was set to go into place, the Trump administration planned on taking a different path. According to multiple media outlets, including Axios and Bloomberg, the administration wouldn’t enforce the restrictions when they were supposed to start on May 15 and is instead working on its own framework.
April 30: Anthropic doubled down on its support for restricting U.S.-made chip exports, including some tweaks to the Framework for Artificial Intelligence Diffusion, like imposing further restrictions on Tier 2 countries and dedicating resources to enforcement. An Nvidia spokesperson shot back, saying, “American firms should focus on innovation and rise to the challenge, rather than tell tall tales that large, heavy, and sensitive electronics are somehow smuggled in ‘baby bumps’ or ‘alongside live lobsters.’”
April 22: Ahead of its Q1 earnings call, Intel said it was planning to lay off more than 21,000 employees. The layoffs were meant to streamline management, something CEO Lip-Bu Tan has long said Intel needed to do, and help rebuild the company’s engineering focus.
April 15: Nvidia’s H20 AI chip got hit with an export licensing requirement, the company disclosed in an SEC filing. The company added that it expected $5.5 billion in charges related to this new requirement in the first quarter of its 2026 fiscal year. The H20 was the most advanced AI chip Nvidia can still export to China in some fashion. TSMC and Intel reported similar expenses the same week.
April 9: Nvidia’s CEO Jensen Huang was spotted attending dinner at Donald Trump’s Mar-a-Lago resort, according to reports. At the time, NPR reported Huang may have been able to spare Nvidia’s H20 AI chips from export restrictions upon agreeing to invest in AI data centers in the U.S.
April 3: Intel and TSMC allegedly reached a tentative agreement to launch a joint chipmaking venture. This joint venture would operate Intel’s chipmaking facilities, and TSMC would have a 20% stake in the new venture. Both companies declined to comment or confirm. If this deal doesn’t come to fruition, this is likely a decent preview of potential deals in the industry to come.
April 1: CEO Lip-Bu Tan got to work right away. Just weeks after he joined Intel, the company announced that it was going to spin off non-core assets so it could focus. He also said the company would launch new products, including custom semiconductors for customers.
March 12: Intel announced that industry veteran and former board member Lip-Bu Tan would return to the company as CEO on March 18. At the time of his appointment, Tan said Intel would be an “engineering-focused company” under his leadership.
February 28: Intel was supposed to start operating its first chip fabrication plant in Ohio this year. Instead, the company slowed down construction on the plant for the second time in February. Now the $28 billion semiconductor project won’t wrap up construction until 2030 and may not even open until 2031.
February 3: U.S. senators, including Elizabeth Warren (D-Mass) and Josh Hawley (R-Mo), wrote a letter to Commerce Secretary Nominee-Designate Howard Lutnick, urging the Trump administration to further restrict AI chip exports. The letter specifically referred to Nvidia’s H20 AI chips, which were used in the training of DeepSeek’s R1 “reasoning” model.
January 27: Chinese AI startup DeepSeek caused quite the stir in Silicon Valley when it released the open version of its R1 “reasoning” model. While this isn’t semiconductor news specifically, the sheer alarm in the AI and semiconductor industries DeepSeek caused continues to have ripple effects on the chip industry.
January 13: With just a week left in office, former president Joe Biden proposed sweeping new export restrictions on U.S.-made AI chips. This order created a three-tier structure that determined how many U.S. chips can be exported to each country. Under this proposal, Tier 1 countries faced no restrictions; Tier 2 countries had a chip purchase limit for the first time; and Tier 3 countries got additional restrictions.
January 6: Anthropic co-founder and CEO Dario Amodei co-wrote an op-ed in The Wall Street Journal endorsing existing AI chip export controls and pointing to them as a reason why China’s AI market was behind the U.S. He also called on incoming president Donald Trump to impose further restrictions and to close loopholes that have allowed AI companies in China to still get their hands on these chips.
This story was originally published on May 9, 2025, and is regularly updated with new information.