Research
We research the systems layer between AI models and hardware to make inference more efficient across memory, computation, and runtime.
Our approach
Production is the benchmark.
We build an inference operations platform, so an idea earns its place when it improves the system that runs the model. We weigh cost, latency, throughput, quality, and reliability together, not one number in isolation.
A gain that moves the cost somewhere else is not a gain. Every result we share states the conditions it was measured under and what it traded away.
Articles
No research articles yet.
The first write-up lands when there is a result worth sharing.