Tech
CopilotKit raises $27M to help devs deploy app-native AI agents
Many companies today provide AI simply as a chatbot inside their apps: you type in (or dictate) what you want it to do, and the AI bot goes and tries to do it. Still, the experience tends to feel clunky. A text-based UI doesn’t always translate to a smooth experience, for example, if you want to use a travel app to book an entire itinerary but have to scan through reams of text.
According to the founders of CopilotKit, that approach doesn’t make the most of what AI agents and LLMs can do. The company’s co-founders, Atai Barkai (pictured above, right) and Uli Barkai (pictured above, left), believe the way forward is to enable agents to live inside applications, understand what users are doing, take actions, and show useful interfaces instead of just returning long blocks of text.
The company’s popular AG-UI protocol is aimed at the first part of that solution. The widely adopted, open-source protocol standardizes how AI agents connect to and communicate with user interfaces (like a web browser or an app), providing features such as streaming chat, front-end tool calls, and state sharing to enable human-in-the-loop functionality. Essentially, AG-UI gives devs the framework and tools needed to deploy AI agents within their apps.
CopilotKit is also building an enterprise toolkit on top of AG-UI, adding support, self-hosted deployment features, and other must-have offerings for businesses thinking of building agents into their product. To bring that toolkit to market, the Seattle-based startup has raised $27 million in a Series A round led by Glilot Capital, NFX and SignalFire, TechCrunch has exclusively learned.
The flexible user interface is a particular selling point. CEO Atai Barkai told TechCrunch developers can use the startup’s framework to provide the specifications and building blocks for dynamic user interfaces, which an AI agent can then use to generate UIs to fit the context.
“The agent can reply to you, not just with blocks of text, but with interactive UIs that are defined by your own company,” Atai explained. “If, for example, a user asks for breakdown of revenue by category, instead of getting this kind of big, impenetrable paragraph, you get a pie chart, and it’s your own design of the pie chart that the user can interact with […] So all of your agents can, very trivially, speak to a UI and use these catalog of components and show that to users.”
Atai also noted that CopilotKit’s toolkit gives developers full control over how much their AI agent can change the UI, to the point where they can choose to have the interface be “pixel-perfect” or just provide broad building blocks that the AI can put together as required.
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The funding follows a period of strong adoption both for AG-UI and CopilotKit. The protocol, which works alongside the widely adopted Model Context Protocol (MCP) and Agent2Agent (A2A) protocol, is today supported by major AI infrastructure providers like Google, Microsoft, Amazon, and Oracle, as well as popular frameworks like LangChain, Mastra, PydanticAI, and Agno.
Atai said CopilotKit and AG-UI (the company’s strongest claim to ecosystem relevance) see millions of installs per week, and that a large portion of Fortune 500 companies are using the protocol and the startup’s tools in production. Meanwhile, CopilotKit counts enterprise bigwigs like Deutsche Telekom, Docusign, Cisco, and S&P Global as enterprise customers.
To tap that growing interest, the company is also launching CopilotKit Enterprise Intelligence, a self-hostable offering that bundles a number of infrastructure features to fully deploy agents within apps.
CopilotKit faces heated competition in the market for enterprise agents tools. Cloud platform Vercel’s open-source AI SDK helps developers build AI applications with similar capabilities, and Assistant-ui offers components for building AI chat interfaces. Meanwhile, OpenAI’s Apps SDK is also an option for building richer interfaces, though only inside ChatGPT.
Atai argues that CopilotKit is different from those offerings because it takes a horizontal, enterprise-friendly approach rather than a vertically integrated one. Instead of offering a full-stack AI platform, CopilotKit aims to support whatever agent framework, cloud provider, or backend an enterprise already uses.
“If there are two things we hear in almost every single enterprise conversation, enterprises want optionality and they want self-hosting,” he said. “Maybe they’re already using the Google, Amazon, Oracle, Microsoft, LangChain, Mastra stacks. They want optionality, and they want self-hosting, and these are two things that they don’t really get in the Vercel stack.”
That open positioning will be important to maintain. Companies that build on top of their own open-source infrastructure often face a tension, which is that they want their technology to stay a neutral standard, but they also need to build a business on top of it. But Atai said that AG-UI is a fully open protocol, and that CopilotKit’s commercial product is meant to harden the open-source stack for enterprises, not replace it.
“They’re very much complementary. Our strategy is to be the default choice in the ecosystem, and then to monetize the top enterprises,” Uli, the startup’s head of growth, added. “So it’s very much in our interest that the open source is the best out there, and the 95% of users can just go build and get started without paying anyone or talking to anyone.”
The company currently has about 25 employees and plans to use the new funding to grow its team.
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Tech
Anthropic’s CEO is about to have dinner with President Trump
Anthropic CEO Dario Amodei seems to be everywhere this weekend: He was lampooned on the season premiere of Saturday Night Live, and tonight, he’s set to have dinner with President Donald Trump at the White House.
Axios first broke the news of Amodei’s dinner plans, which were subsequently confirmed by other publications.
This will be the first one-on-one meeting between the two men, who recently found themselves on opposite sides of the AI safety debate. Amodei released a plan to slow AI development (or at least proceed with more caution), while Trump has insisted, without evidence, that the AI backlash is a Democratic hoax; he also wants to rebrand the technology as “super intelligence.”
Even before the current back-and-forth, Amodei and Anthropic have to had a fraught relationship with Trump’s administration. Earlier this year, the Pentagon designated Anthropic a supply-chain risk in response to the company’s attempt to put guardrails around the use of its technology (Anthropic has been fighting the designation in court), although other administration officials have been friendlier.
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Tech
Can Muse overcome Meta’s trust issues?
Meta’s new AI agent Muse took the spotlight at the company’s annual Connect event, where CEO Mark Zuckerberg made it clear that Facebook’s parent company plans to push AI features everywhere.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed Meta’s AI announcements seemed to steal the spotlight during a week of new model launches from OpenAI and Anthropic.
With other big AI companies focused on coding and enterprise tools, it was a little surprising to see Meta move in the opposite direction, with a consumer focus and a cute, Tamagotchi-style AI device that Meta insists is for adults only. But as Kirsten noted, this could be playing to Meta’s strengths.
Sean tried Muse for himself, and while he was pleased that the agent actually found him some unclaimed money, he described the feature as more “a party-trick type thing,” rather than something that will drive ongoing usage. Plus, there’s the question of whether users can trust Meta’s AI with sensitive information.
“Meta’s business is to sell you ads,” Sean said. “And yes, they’ll make the argument that the more they know about you, the more accurate and interesting the ads will be — wake me up when we get to that fever dream.”
Keep reading for a preview of our full conversation, edited for length and clarity.
Kirsten Korosec: So how do you put Muse, which is this new personal AI agent that’s just been released by Meta and [is] clearly a bet on consumer — how does that fit into what you just described, at least with other frontier AI model companies seeing opportunity and business within enterprise? Because Meta Connect, which is their big annual event, just happened, and they are all-in on Muse, that is very clear.
Anthony Ha: That was definitely very head spinning for me, because it certainly feels like what we’ve been talking about has been this shift towards enterprise — not exclusively, but certainly that’s where the money, the attention is going.
Maybe some of that is because of the relative position of these different companies — OpenAI and Anthropic are in the lead in a lot of ways, but also, they’re planning to go public either this year, or next year in the case of OpenAI. And so there’s this feeling of, “I think we’ve got to actually make money now.” Not to say that they’re not making money [already], but because the costs are so high and the valuations are so high, they have to make money on this scale that’s essentially unprecedented. And I think they’re seeing enterprise as the way to do that.
And I wonder if Meta, for a variety of reasons, sees a different opportunity. There’s a part of me that’s like, “Wait, did they not get the memo?” But I think more charitably, you could say, “Well, if that’s where OpenAI and Anthropic are going, then maybe there is more of an opportunity for Meta to make the more consumer-friendly [version and] continue advancing AI on the consumer side.”
Kirsten: I mean, we can complain about or criticize or critique Meta all day long, but they’re very good and have [an] established track record of embedding themselves in everyday people’s lives. I mean, there’s a reason why Facebook has so many users — Instagram, WhatsApp. And I’ve never really thought of them as an enterprise product anyway. So I think it’s smart for them to continue to push on the consumer piece.
Sean, you’ve already tried Muse, which has already been out for a couple weeks. And I’m wondering if you see what your impression is, and if you see it being successful in the bid to become part of every part of your life.
Sean O’Kane: I mean, not really. I understand why some people think that is going to be the case. I’m sure a lot of people understand this, but this is roughly Meta’s kind ground-up version of an on-your iPhone, or on your Android, app of OpenClaw, which we talked about a couple months ago, which Meta went out and basically bought and integrated those folks’ work. It was the first big explosion of like, “Holy smokes, these agents can do all this stuff for me while I’m out and about, and I can just text with it and let it control my whole computer.” There’s a lot of the same elements of that at play. And having it in your hand, on an app that works like a relatively good chatbot as the interface, it does seem pretty powerful.
One of the first things that I did with it was — because it makes a bunch of suggestions for you, as to things that it can do, and one of them was, “I’ll scan to see if you have any unclaimed funds,” this thing that I think no one ever really thinks about and often is going to completely miss, because there’s just not a lot of unclaimed property funds out there in your name. Surprise, surprise, there were some for me.
It helped me make some money on my first day, and that was pretty cool. I wouldn’t have done that if I hadn’t been prompted by this thing to do it. And there’s a check on its way to me in the mail. Fantastic. [But] that ends pretty quickly, right? That was a one-time shot, but it’s not a thing that’s repeatable. That’s more like a party trick-type thing.
Kirsten: I mean, you just killed your own argument. I don’t see how that wouldn’t become wildly popular.
Sean: The more sustainable version of that, and the thing that Meta’s talked up a lot over the last couple of days, is taking that idea and applying it to your real, true everyday financials, like giving it your information for your credit card, your Gmail account, all this other stuff, do things that we’ve seen other companies do, like Rocket Money or whatever, where it’ll go cancel subscriptions that you’re not using or identify double charges, things that frankly the credit card company should be doing already.
And at that point you just run into that trust wall with Meta. I think one of the reasons that I was willing to explore this and was curious to stick with it a little bit — even through to today — is that somewhat shockingly, when I downloaded it, I just assumed that it would like really instantly prompt me and like plug me right into Threads, Instagram, Facebook, which I don’t really use ever, and pull up that context immediately.
But it didn’t. And it was working with me like I was a stranger at first, which made me more willing to use it, because I didn’t feel like Meta had everything on me already. But you can see, as you start to use it, it really tries to grab you and pull those things into the system, so that it can learn all this stuff about you.
I don’t know that I will ever trust Meta the same way. I think it’s an interesting timing for me, having just upgraded my iPhone and getting onto the new iOS with the new Siri that actually works and can do some controls on your phone in a way that is surprising and helpful, that it’s never been able to do. [I’ve been] thinking about how much I’ve been using that over the last week and how much more how much more willing I would be to have the Siri version of Muse take that information, because I just trust Apple more with that really sensitive information and not only trust it with the information from a cybersecurity perspective, but from the fact that its business is not to sell me a bunch of crappy ads.
Meta’s business is to sell you ads. And yes, they’ll make the argument that the more they know about you, the more accurate and interesting the ads will be — wake me up when we get to that fever dream.
And beyond the one-time money lever that I got, which was great, I don’t feel like I’ve found anything else that’s really all that useful — other than the fact that it is, to Anthony’s point, really tailored at keeping it sort of consumer-y in your interactions with it, with which I do think helps it and is why people are talking about it so much.
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Tech
Anthropic’s Dario Amodei gets the SNL treatment
Saturday Night Live took on the AI industry’s recent warnings of doom last night, as cast member Jane Wickline offered her impression of Anthropic CEO Dario Amodei.
Weekend Update host Michael Che — who sounded a little uncertain about how to pronounce Amodei’s last name — kicked the segment off by describing the CEO as having “stumbled through a press tour” where he seemingly agreed with a former employee’s claim that artificial intelligence might destroy humanity.
Wickline’s version of Amodei sported an impressive wig and delivered halting answers that occasionally devolved into full-on Gollum-style exchanges with their dark side, at one point confessing, “AI is the devil and I its maker.”
Wickline-as-Amodei assured the audiences that AI executives “are all on the same page here: We do not condone what we are doing.”
“AI is not a weapon, it’s a tool: A tool for building weapons,” she declared. “And I urge you to urge me to stop.”
As for the technology’s supposed benefits, like potentially curing cancer, the fictional Amodei said, “Put it this way: In 10 years, there’s about a 10% chance that cancer won’t be a problem for anyone.”
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