AI Startup Hark Raises $700 Million for Personal Assistant
Auf einen Blick
- AI startup Hark has secured $700 million in Series A funding to develop a personal AI assistant and native hardware.
- Led by Parkway Venture Capital, the round values Hark at $6 billion post-money and includes investments from major tech firms.
KI-generierte Zusammenfassung
Warum es wichtig ist
Hark, an AI lab, has raised $700 million in a Series A funding round, valuing the company at $6 billion post-money. The company aims to build an agentic AI system that serves as a universal interface with the digital world, including multimodal models and dedicated hardware.
What will it take to launch the first must-have AI consumer product? Maybe $700 million.
At least according to Hark, an AI lab building models and hardware for an AI personal assistant, which said on Thursday that it had raised that much in a Series A round that values it at $6 billion post-money.
The mega-round was led by Parkway Venture Capital and included Nvidia, Align Ventures, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Prime Movers Lab, Qualcomm Ventures, Salesforce Ventures, and Tamarack Global. (Phew!)
Perhaps what’s most notable about the fundraise is how little Hark has revealed about what it is building. Founder and CEO, Brett Adcock, also the entrepreneur behind robotics company Figure.AI and electric aircraft builder Archer, launched Hark in late 2025 with $100 million of his own money to develop an agentic AI system that serves as a universal interface with the digital world.
Hark expects to release its first multimodal models this summer, which it says will power a personal AI platform that works with existing products and services. The company expects to follow that with hardware devices built specifically for those systems.
The fresh cash will be spent on recruiting top talent for hardware, product design, and AI research, and on securing compute and components. The company currently has 70 employees and runs a data center with Nvidia B200 GPUs.
Abidur Chowdhury (pictured above in a promo video), a former Apple product executive, is Hark’s director of design. He declined to reveal new details of what he’s working on when TechCrunch peppered him with questions this week but said investors were impressed by a series of demos from his team.
“I haven’t seen anything that feels like something that will really help like the normal person,” Chowdhury said, speaking of the AI products on the market. “People are really building things to help people make software, and it’s working, and it’s really impactful, but we haven’t really seen that for the normal person yet.”
He noted that while Anthropic is prioritizing coding tools and OpenAI is moving in the same direction ahead of its IPO, few companies are focused solely on building interfaces and native hardware the way Hark is. “With this focus, with this great team that we have, and this round that we’ve raised, I think we can make something really special in this space,” Chowdhury said.
Still, there are more questions than answers. One challenge will be providing the context of a customer’s life to an AI assistant without making the people around the user uncomfortable or violating their privacy. Wearables like Meta’s existing glasses or the forthcoming Android spectacles don’t seem to have solved this problem. When asked how he might square this particular circle, Chowdhury only smiled.
“Sounds like that would make a great product.”
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Hark will release its first multimodal models this summer.
Sehr wahrscheinlich · Innerhalb von Tagen
Hark will release hardware devices built for its AI systems.
Wahrscheinlich · Innerhalb von Monaten
Offene Fragen
- What specific features will Hark's AI personal assistant offer to the average consumer?
- How will Hark address privacy concerns related to providing personal life context to an AI assistant?
- What is the exact timeline for the release of Hark's hardware devices?
- What are the key differentiators of Hark's approach compared to competitors like Anthropic and OpenAI?






