Today we’re excited to announce over $700 million in Series A funding to accelerate our ambitions to realize a generational leap in computing.
Hark is an AI lab building the most advanced, personal intelligence in the world. We're pairing our own foundation models with bespoke hardware to create a universal interface between humans and machines.
Toward this goal, we’ve raised our Series A at a $6 billion post-money valuation. In a round led by Parkway Venture Capital, demand from investors was significant and oversubscribed, with participation from NVIDIA, Align Ventures, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Prime Movers Lab, Qualcomm Ventures, Salesforce Ventures, and Tamarack Global.
With these resources at Hark’s disposal, we’re hiring some of the best talent from across the industry. We’ve also secured the infrastructure we need to bring many of our visions to life. We’ll train our next generation of models at our new NVIDIA B200 data center.
We’re ambitious, but we recognize the incredible challenges ahead. We plan to amplify human capacity, autonomy, and joy with an adept, personalized AI assistant. This is a time when the right way is the hard way. And the right approach requires a blend of bespoke-crafted software and hardware.
This round cements our ambitions to build the world-defining AI experiences of tomorrow. And as it turns out, tomorrow isn’t so far away.
My workflow lately:
✍️ write a prompt
🔨 while LLM is thinking/working, draft a new prompt + check back every 5 min to make sure its not stuck waiting for me
🫰good result, create/update prompts into a skill
now a cascade of skills and crons run tasks daily for me
An single individual person is using $1.3M of tokens in 30 days... mind bending!
(Yes its @steipete... but its still half a trillion tokens in a month!)
When GPT-5 was released, some folks claimed AI progress was hitting a wall, whereas others said progress would continue.
GPT-5.2 was released 2 months ago. GPT-5.3-Codex was released 2 days ago and is twice as token efficient for coding. It's clear who turned out to be correct.