Our mission
Frontier-quality intelligence should be accessible, transparent, and developer-friendly. We keep the interface familiar and the cost honest, so building on AI is a practical decision, not a leap of faith.
Our model
Nexith Core is trained for reasoning, writing, and code, with a 1M context window and an OpenAI-compatible API. It runs on our own GPU cluster — so we control the whole path from weights to wire.
What we value
Four principles that shape every part of the platform.
Own the stack
One model, trained from the ground up and served on our own sovereign GPU cluster — not a reseller wrapper over someone else’s API.
Cost as a feature
A semantic cache that saves up to 90% on a hit, and transparent per-token rates otherwise. Lower cost is engineered in, not discounted in.
Privacy by default
Every response passes one egress gate before it leaves the gateway. Your data is never used for training.
A clean interface
OpenAI-compatible from day one. Point your existing SDK at our endpoint and keep the tools you already have.
A small team, building in the open.
Researchers and engineers who care about making AI infrastructure simple, reliable, and affordable. If that sounds like your kind of work, we’d love to hear from you.
Join us — careers@nexith.ai