
Hark closed a $700 million Series A at a $6 billion post‑money valuation to fund multimodal model development, hardware design and compute capacity for a personal AI platform;
Hark said it has raised $700 million in a Series A that values the company at $6 billion post‑money, a round led by Parkway Venture Capital and backed by strategic and institutional investors including NVIDIA, AMD Ventures, Intel Capital, Qualcomm Ventures, ARK Invest, Brookfield, Greycroft, Prime Movers Lab, Align Ventures, Salesforce Ventures and Tamarack Global. Founder Brett Adcock launched Hark in late 2025 with $100 million of his own capital to pursue an agentic AI interface, and the new funding is intended to accelerate that effort.
The company plans to release its first multimodal models this summer, which it says will power a personal AI platform capable of working with existing products and services. Hark intends to follow the model launch with hardware devices built specifically for those systems, positioning its stack as both software and native hardware rather than solely an SDK or cloud service. Hark currently employs about 70 people and operates a data center outfitted with NVIDIA B200 GPUs to support model development and inference. The firm told investors the Series A will be used to recruit talent across hardware, product design and AI research, and to secure additional compute and physical components.
Abidur Chowdhury, Hark’s director of design and a former Apple product executive, said investors were shown a series of demos but declined to provide details about them. The company emphasized hiring for both product design and hardware engineering to support the planned device work, signaling a push to build integrated hardware‑software experiences.
Market dynamics frame Hark’s strategy: several leading AI firms have been emphasizing developer and coding tools — Anthropic has leaned into coding‑focused products and OpenAI is advancing similar initiatives ahead of its IPO. Hark says its differentiator is a sole focus on interface and native hardware design; Adcock’s prior ventures include robotics company Figure.AI and electric aircraft maker Archer, reflecting experience across software agents and physical systems.
Hark’s roadmap surfaces technical and user‑experience challenges, chiefly how an assistant can retain detailed personal context without making others around the user uncomfortable or violating privacy norms. The company noted that existing wearables and smart spectacles, such as Meta’s glasses and forthcoming Android‑compatible devices, have not settled those trade‑offs. When asked how Hark will address the issue, its design lead declined to outline specifics, calling it a product challenge.
For builders and partners, the practical implications are clear: a summer model rollout will require integration points for multimodal inputs and connections to existing services, and a later hardware layer could introduce new platform APIs and device‑level constraints. The participation of chip and cloud investors may ease Hark’s access to compute and components, and the hiring push points to near‑term opportunities for engineers focused on hardware integration, product design and multimodal model engineering.
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