About Ostler AI

Domain Expertise
Over Frontier Hype

Ostler AI was founded on a simple premise: Hardware design is too critical to be left to generic "wrapper" AI. We build EDA-native models that are leaner, more accurate, and designed to run privately within your own infrastructure.

Specialization vs. Scale

Vance demonstrates that a domain-tuned 4B model can outperform general-purpose giants on hardware-specific benchmarks.

69.4%
Vance (4B) on VerilogEval
64.1%
GPT-4o (~200B) on VerilogEval
~98%
Model Size Reduction

The Problem with Frontier Models

Why EDA-Native?

Beyond the Wrapper

Most "AI for EDA" tools are just agent workflows sitting on top of frontier models. We believe in domain-specific tuning to eliminate hallucinations and improve syntax adherence.

Professionalism & Ethics

In an industry built on intellectual property, we believe in responsible data provenance. We distance ourselves from the trend of opaque sourcing in favor of a transparent, domain-specific approach.

Private & Lean

Vance is a 4B parameter model trained on a home-grown cluster of RTX 3090s. It proves that specialized, smaller models can outperform giants while remaining deployable on private clouds.

The Founder

Domain Experience

Bridging the gap between LLM research and professional hardware design.

  • Patrick Ostler

    Patrick Ostler

    Founder & Lead Engineer

    Former Application Engineer & Account Technology Manager at Siemens EDA and Design Verification Engineer at Intel.