Continual learning for any AI

Learns once. Answers in an instant.

Teselo sits in front of the AI you already use. Every task it solves is proven against real examples, kept as a skill, and served instantly the next time — faster, cheaper and consistent.

Read the docs
The Teselo mark: a square mosaic tile of cobalt, ivory and saffron shards
How it works

Your AI, piece by piece.

  1. Solve

    Solve

    A new task arrives. Your AI works it out the usual way.

  2. Prove

    Prove

    Teselo tests the answer against real examples. Anything that fails is discarded, never stored.

  3. Keep

    Keep

    The proven skill joins your private library.

  4. Reuse

    Reuse

    Next time it answers instantly, without calling a model.

  5. Combine

    Combine

    Proven skills combine into new ones, greater than their parts.

See it step by step →
A mosaic tile with one shard left out of the gap, because it failed its tests
Why proof matters

Models are confident. Teselo checks.

Most AI memory stores whatever the model said. Teselo only keeps a skill after it has been executed against real examples and produced the right answer — so your library never fills up with confident mistakes.

Two ways to use it

Pick the shape that fits your stack.

Teselo Endpoint

An OpenAI-compatible model endpoint that learns from your traffic. Point your SDK at it and go.

Explore the endpoint

Teselo Gateway

Keep your own model. Put Teselo in front of it and repeated work stops costing you.

Explore the gateway
Your library grows

From a few shards to a whole tile.

A mosaic tile with only a few shards in place
Day one
A mosaic tile about half filled with shards
Growing
A complete Teselo mosaic tile
A full library

Every shard is a skill your AI has proven. The tile is your library.

Early access

Bring the AI you already use.

We're onboarding a small number of teams. Tell us about your workload.