"Give me tokens. Just give me tokens. I want them fast. I want them cheap. I want them now." That's the mantra Parasail CEO Mike Henry keeps hearing from developers building software on generative AI models. And he's listening. Parasail, a cloud computing service built specifically for AI inference, has just raised a $32 million Series A and the company says it already generates a staggering 500 billion tokens per day.
Henry was previously an executive at Groq, the LLM-focused chipmaker, where he built the company's cloud offering. That experience gave him an early understanding that developers building on AI models would want cloud processing tailored specifically to their needs. A year after coming out of stealth, Parasail is now scaling that vision aggressively.
A Different Kind of Cloud
What makes Parasail interesting is its approach to infrastructure. Henry has a background in physical chip design, but Parasail isn't committed to owning its own silicon. While the company operates some of its own GPUs, it mainly rents processing time across 40 data centers in 15 countries and buys additional compute from liquidity markets. All of this is orchestrated behind the scenes to minimize the cost of every inference request.
By allocating workloads intelligently and avoiding demand peaks, Parasail aims to undercut firms that own their own hardware companies that are often constrained by existing customer commitments and internal workloads. It's a brokerage model for compute, and it's built for speed and flexibility rather than long-term contracts.
The Open-Source Tailwind
Parasail's entire bet depends on the continued rise of open-source models and AI agents outside of frontier labs. The company's leadership and investors argue that the growing cost and friction of using proprietary APIs from companies like Anthropic and OpenAI are pushing developers toward alternatives.
That shift is already visible. Andreas Stuhlmüller, CEO of Elicit a startup that raised $22 million to build an AI research assistant for scientific literature says his pharmaceutical company clients have increasingly moved toward open models. Sending hundreds of thousands of requests to a proprietary API creates major operational challenges, especially as AI agents split tasks across longer time horizons. The emerging pattern is a hybrid architecture: open models handle the bulk of initial screening at low cost, while a more capable frontier model delivers the final answer.
This trend is exactly what Parasail is built to serve.
Inference Will Define Software Economics
The explosion of model queries driven by the rapid adoption of AI agents in software development is fueling investment in infrastructure companies that can deliver cheap inference at scale. Samir Kumar, a partner at Touring Capital who co-led the round, believes inference will eventually account for at least 20% of the total cost of building software. That's a massive addressable market, and it's growing fast.
Standing Out in a Crowded Market
The cloud compute space is fiercely competitive. Henry argues that Parasail differentiates itself through two key decisions: it focuses exclusively on inference no training workloads allowed and it's willing to take on early-stage startup customers without demanding long-term commitments. That sets it apart from larger cloud providers chasing enterprise contracts, and even from better-funded competitors in the inference space like Fireworks AI and Baseten.
There's an inherent risk in this strategy, of course. When your customer base is primarily seed and Series B startups operating in an unpredictable sector, revenue stability is never guaranteed.
No Bubble in Sight
Steve Jang, a partner at Kindred Ventures and co-leader of the round, dismisses any talk of an AI bubble. He believes the economics of deploying AI models will only increase demand for the kind of compute brokerage Parasail provides and that's before widespread adoption of AI for content generation and robotics creates entirely new categories of inference demand.
His verdict is blunt: inference demand is already far outstripping supply, and the gap is only widening.
For Parasail, the timing couldn't be better. In a world where every AI application is hungry for tokens, the company that delivers them fastest and cheapest stands to win big.
