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Welcome to the Genomic Intelligence blog

Why we are opening up how we build genome-scale AI — and what you can expect to read here.

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We build genome-scale AI: ultra-long context foundation models that read DNA and predict how it behaves. Until now, most of that work lived in papers, internal docs, and the occasional conference talk. This blog is where we start sharing it in the open.

What you’ll find here

  • Model science — what our architectures learn about regulatory logic, and how we evaluate them.
  • Engineering — the inference infrastructure behind the /v1 API: how we serve long-context models on a single GPU, keep latency predictable, and ship safely.
  • Product — how the DNA Analysis Platform turns a raw sequence into a decision.

Who we are

We’re a small, interdisciplinary team spanning AI, wet-lab biology, and systems engineering. Small enough that the person who trained the model is often the person who wrote the serving code — and now, the person writing the post about it.

If a topic here sparks a question or a collaboration idea, reach out. We’d love to hear what you’re working on.