signull - turn expensive model calls into small, owned models that run at millions of decisions a day.

signull capture | fine-tune | evaluate | deploy | monitor

Most AI products send every decision to a frontier model. That works at a thousand calls a day. At a million, the bill and the latency become the product.

Signull takes the decisions your system already makes, fine-tunes a small model on them, and serves it where your data lives.

1. 01captureLog the decisions your current model makes, with inputs and outcomes.
2. 02fine-tuneTrain a small model on those traces end to end. SFT, then RL on outcomes.
3. 03evaluateSide-by-side against your current model before anything ships.
4. 04deployDedicated endpoint, or inside your own cloud. Your data, your weights.
5. 05monitorAccuracy, drift and cost per decision, per model version.

344x

lower cost per workflow than frontier-model API calls, in an early internal benchmark. Methodology on request.

Teams running high-volume decisions in regulated environments: banking, lending, insurance. Built to deploy inside your VPC.

Taking design partners for pilots. pilots@signull.dev

• app.signull.dev(1)
• founders@signull.dev(7)