Inference, without the hardware bet.
Dear builder,
The way the world buys AI compute is broken. To get production inference, startups sign multi-year hardware commitments — and carry the risk when usage swings or the market moves.
We spent our careers on the other side of that trade — building the chips, compilers, and inference platforms the industry runs on. AI-native companies need a token economy, not a hardware economy: commit to output, not silicon, on a fluid fleet that flexes with you. Burst when you spike, never pay for idle.
Whatever we run for you, we tell you exactly what it is — no silent quantization, no capacity that vanishes the moment you need it.
In the next few years, inference will become the largest computing workload on earth. The companies that win will scale it without betting the company on hardware. That's what we're building.
— Mike Henry & Tim Harris, co-founders
Two operators, one conviction.
Ex-Chief Product Officer of Groq, acquired by NVIDIA for $20B. Former Founder & CEO of Mythic, where he raised $165M to build a disruptive AI inference compute platform. A passionate innovator who turns ideas into impact — and rebuilds and races junky muscle cars.
Mike on LinkedIn →
Previously Founder & CEO of Swift Navigation, where he built teams and products driving hundreds of millions in sales and raised $250M in venture capital. Recovering lawyer and unapologetic wine fanatic.
Tim on LinkedIn →A worldwide team of builders and researchers.
Inference engineers, systems researchers, and operators from the companies that defined modern AI infrastructure.
Ex-Chief Product Officer of Groq (acquired by NVIDIA, $20B) and founder & CEO of Mythic, $165M raised.
Founder & CEO of Swift Navigation — hundreds of millions in sales, $250M raised.
Built payments and platform systems at Stripe and Uber.
Worked on GPU inference and deep-learning systems at NVIDIA.
Built large-scale distributed infrastructure at Amazon.
Worked on the inference stack and compiler tooling at Groq.
Built real-time positioning infrastructure for self-driving cars at global scale.
PhD in scalable ML systems, focused on making model inference faster and cheaper.
PhD computer scientist specializing in sparse, highly parallel systems for fast computation.
Site reliability engineer from Blue Origin, focused on Kubernetes and large-scale uptime.
Backed by world-class investors.
Parasail is backed by leading venture firms and operators who've built and scaled the infrastructure behind today's biggest companies.
