One model turns text, code, logs, images and tables into a calibrated number — the prediction layer that was missing from your stack.
Today it’s predicted by hand, forced into a brittle table, or never produced at all. The signal is in the raw text, code, logs and notes — but nothing turns it into a decision-ready value.
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Continue with GoogleThe goal is always the same — a calibrated number. But the tooling is fractured across modalities: each one stalls below the gap, and nothing reaches the top.
XGBoost, Gaussian processes
LLM prompts, expert opinion
bespoke encoders, custom models
A single model spanning five modalities. Every modality breaks through the missing layer and flows into one calibrated number.
The peer-reviewed work behind GQI will be shared as it’s published. Details to follow.
Prepaid credits — pay only for what you use, no subscription. Every account starts with $30 free each month. You're billed on input tokens only; the output is a single calibrated number, so it's free.
Free every month, no card required — enough to fine-tune and run thousands of predictions.
Priced per million input tokens. Prepaid credits, top up any time.
Get started →For teams that need it in their own stack.
Prepaid credits are non-refundable · fine-tune once, serve cheaply · no subscription, cancel by not topping up.