Independence
Own the application decisions that matter. Choose the supported model, API workflow and inference capacity that fit your business.
+ 05 / OUR DIRECTION
Small teams.
Extraordinary possibilities.↗
We believe the most interesting businesses are not always the biggest. They are the ones with a clear direction—and the freedom to follow it.
EV / WORKLOAD-SHAPED INFERENCE
WHY EIGENVECTORKeep your direction.
Keep your direction.
Change your magnitude.
In mathematics, an eigenvector preserves its direction under a transformation, even as its scale changes. Every real workload has directions like that: the prefixes it reuses, the formats it repeats, the way its answers tend to continue.
A generic serving stack treats every request as new. We find those directions and build the inference path along them: a KV backend that remembers what your traffic reuses and a DSpark decoder optimised for how your outputs continue.
We turn powerful models into managed inference APIs: operating the serving stack, optimising it for each workload and keeping server administration with Eigenvector.
THREE PRINCIPLES. ONE DIRECTION.
Intentionality
Optimise what makes a difference. Start with your real traffic, make trade-offs explicit and measure throughput, latency and cost on the workload your users create.
Possibility
Make ambitious ideas practical. When every GPU does more work, capable inference comes within reach of teams with more imagination than headcount.
A UK COMPANY. AN INDEPENDENT OUTLOOK.
EIGENVECTOR LTD
Registered in England and Wales.
Built for businesses moving forward.
- COMPANY NUMBER
- 17434555 ↗
- INCORPORATED
- 2 September 2026
- REGISTERED OFFICE
- 71-75 Shelton Street, Covent Garden
London, WC2H 9JQ, United Kingdom
One benchmark.
A whole new cost curve.