Hark, an artificial intelligence (AI) lab founded by serial entrepreneur Brett Adcock, has raised more than $700 million in a Series A funding round at a $6 billion post-money valuation. <cite index="5-14,5-15">The round was oversubscribed and led by Parkway Venture Capital, with participation from NVIDIA, Align Ventures, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Prime Movers Lab, Qualcomm Ventures, Salesforce Ventures, and Tamarack Global.</cite> <cite index="5-10">Qatalyst Partners advised Hark on the transaction.</cite>
The financing is among the largest early-stage rounds on record for a company that has shipped no product and disclosed little about what it is building. <cite index="7-1">San Jose-based Hark is the latest venture from Adcock, who previously founded humanoid robotics company Figure AI and electric aircraft maker Archer Aviation.</cite> <cite index="7-7">Adcock founded Hark late in 2025 with $100 million of his own capital, and the company now runs a staff of about 70 employees and a data center using Nvidia B200 Graphics Processing Units (GPUs).</cite>
Product strategy
<cite index="5-1">Rather than focusing on a single layer of the AI stack, Hark is building foundation models, software systems, native hardware, and new interfaces together from the start — a vertically integrated approach the company believes is essential to creating a seamless end-to-end personal intelligence product that can anticipate needs, reduce cognitive workload, and operate more like a collaborative partner than traditional software.</cite> <cite index="5-17,5-18">In its launch statement, Hark argued that today's AI largely operates through chat interfaces and decades-old consumer devices, with no persistent memory of who you are, and no interface hardware designed for intelligent interaction. The company describes its objective as building agentic systems designed to interact naturally with people and the real world.</cite>
<cite index="5-3,5-4">The company plans to first roll out its AI models later this summer, giving users early access to its personal AI platform. Following this, Hark will introduce AI-native hardware devices designed specifically for these systems.</cite> The hardware form factor, target price, and launch market have not been disclosed.
Investor composition
The cap table is notable for the simultaneous presence of three major rival semiconductor vendors — Nvidia, AMD and Intel — alongside Qualcomm Ventures. <cite index="4-11,4-12">Parkway Venture Capital, a New York-based firm founded in 2019, led the round. Parkway focuses on deep tech, AI, and advanced hardware, and has backed Adcock before: the firm also led Figure AI's $1 billion Series C.</cite>
The breadth of strategic chipmaker participation gives Hark exposure across the major compute supply chains at a moment when GPU and accelerator allocation remains a binding constraint for AI builders. <cite index="9-14">Adcock said the $700 million will be deployed across four areas: scaling GPU infrastructure, with a cluster of thousands of Nvidia GPUs already coming online this spring; accelerating AI model development across the multimodal stack the company has been building internally; and growing the engineering team from approximately 70 to 200, targeting researchers and designers from frontier AI labs and hardware companies.</cite>
Team and context
<cite index="8-7">Abidur Chowdhury, a former Apple product executive, is Hark's director of design.</cite> <cite index="9-17,9-18">Hark operates on the same San Jose campus as Figure AI and Archer, which has allowed the company to recruit quickly across disciplines. The team currently includes former Meta AI researchers alongside designers and engineers from Apple and Tesla.</cite>
The round lands as several consumer-AI hardware efforts have struggled to find product-market fit. Hark joins a category in which competitors including OpenAI's hardware collaboration with former Apple designer Jony Ive are pursuing dedicated devices built around large language models, while incumbents continue to layer AI features onto existing smartphones and laptops.