Fuse expert local AI models · run them in Ollama

Fuse your own expert AI engines.
On your GPU or ours.

Potara merges and prunes real models into a custom engine, teaches it with QBridge quantum-forged datasets, gives it a quantum birth certificate, and exports it straight to Ollama. Fuse, test, re-fuse — as often as you like.

See how it works

Design

Pick base models, merge strategy, and pruning. Gemini 2.5 Flash advises before you spend compute.

Fuse

Runs on your GPU via the Potara runner (cheap), or on our GCP GPUs (Cloud tier).

Certify (optional)

+$10 quantum birth certificate: an independent verification & provenance check on real IBM Quantum hardware. It proves identity — it does not change the model's quality, size, or speed.

Run & re-fuse

Export to Ollama and run locally. Tweak the recipe and fuse again anytime.

Monthly plans

Split by whose GPU does the work. QPU certification is a +$10 add-on on any plan.

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Your Studio

Build a fused engine

Engine name

Source models (runner-local dirs, comma-separated)

Strategy

Merge weights

Prune %

QPU certificate (+$10, verification only)

Run the fusion on your GPU

BYO-GPU jobs run through the Potara runner on your machine:

pip install "potara[fusion]"
potara-runner login --passphrase <your key>
potara-runner start   # picks up your queued jobs

Cloud-GPU plan? Jobs route to our GPU workers automatically — no runner needed.

Your fusion jobs & models

No jobs yet.

History & billing

Usage & estimated bill (this cycle)

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Your profiles & version scorecards

No profiles yet — run an interview to create one.

Studio activity log