Ask typed questions about any text or JSON and get calibrated answers in milliseconds. Private, open source, on your own hardware.

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Real output: decider:2b answered in 178 ms on an RTX 4090.

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Decisions in milliseconds.

A decision model answers in a single forward pass, with no token-by-token generation. On your own GPU, a five-question request to Laya takes about 10 ms, end to end through the HTTP API.

Every model, one scale · median latency, lower is better laya:multilingual 8.1 ms

laya:en 9.6 ms

gliclass 14.7 ms

nli 20.4 ms

decider:0.8b 155 ms

decider:2b 190 ms

TypeSafe Jev hosted API 236–276 ms

Ollaya: median of a five-question request through the HTTP API on an NVIDIA RTX 4090 (laya in fp16, the others in fp32). Jev: median request latency of the hosted API in third-party benchmarks ( AbdelStark/jev-benchmarks , nibzard/decision-model-benchmark ), which includes the network.…