Enterprise AI

Your AI inference bill is 80% waste.

Most inference cost is architectural waste. We redesign the architecture so the waste disappears.

Architecture validated · Benchmark results available · Seeking design partners
25x
Smaller models, same quality
2 ms
Switch domain specialists
$0.01
Per query, not per model
1

Deploy one base model

One compact shared engine on a single GPU. Serves every domain. Never changes.

2

Train domain adapters

Legal, finance, support, compliance - each is a fraction of the base model. Trained in minutes from your data on a single GPU. Your data stays yours.

3

Serve 100 specialists from one GPU

All adapters in memory simultaneously. A fraction of conventional memory requirements. Switch between them in milliseconds.

100 domain models in 1.3GB. Currently that's 1,400GB - a rack of GPUs. We put it on one card. Validated on 7B parameter models across language, vision, and genomics benchmarks.

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