Every inference engine processes your data when you ask a question. We process it when it arrives. By the time you query, the answer is already there. That one change makes everything else possible.
33ms on streaming data. 8x faster than vLLM. 66ms per tool call, fastest of every engine we tested. Not on synthetic benchmarks. On real workloads where context never stops changing.
This is what lets you build AI that actually operates in real-time. Agents that feel instant. Live analysis over data that moves faster than you can read. The kind of applications everyone talks about but nobody could ship, because 2-second latencies made them impossible.
LayerScale was founded by engineers from Goldman Sachs and JPMorgan Chase. We're a small team and we like it that way. If this is the kind of problem you can't stop thinking about, reach out.