Intrinsec AI Become a design partner

For production LLM inference

Securing the foundation of the inference stack.

  • KV cache first
  • We never see the prompt
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Why we exist

The list of things that go wrong keeps growing.

A new detector for every attack, every surface, does not scale.

  • Prompt injection, jailbreaks, advanced adversarial attacks
  • Rogue tool calls, broken tool calls, sensitive-data exposure
  • Hallucination, drift, image, audio, video

So we watch KV pages.

Those failures already share one place: the model's internal computations. Text, voice, tools, and agents land there. That is the view.

Two ways in

KV cache

Tessera

Surfaces unusual KV pages, wherever they live.

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Design partners

Plato

Acts on what doesn't fit your inference traffic.

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Acting at the inference engine and surfacing unusual pages in KV storage Requests enter the inference engine. The engine hands KV pages to the KV management layer, which writes them to KV storage, the only copy. At the engine, what doesn't fit is acted on. In storage, unusual pages are surfaced. The prompt is never read, and storage is never copied. Requests Inference engine KV management layer KV storage the only copy At the engine Acts on what doesn't fit. In storage Surfaces unusual pages.
Requests become KV pages. We watch the pages, beside your stack. Act at the engine. Surface in storage. Never the prompt.

Design partners

A small number of design partners.

You bring a workload; we sit with your team until it proves itself, or doesn't.

Become a design partner