Quancis builds Kael, a composite intelligence — and the products people actually use it through.
Kael is a system, not a single model: a draft is produced, checked, and refined before anything comes back to you. You call one endpoint, in the request format you already send.
Point Harness at a codebase and it reads, plans, edits, and checks its own work before handing anything back. It runs in a real project environment, in whatever stack you already use.
The same system as the API and Harness, in a conversation. Every answer is checked before it reaches you.
Kael is in beta. It is built for accuracy over speed, and it is strongest at coding, security, software engineering, agentic work and math. These are the facts a developer asks for first.
Quancis comes from quán, the Chinese word for the whole. Not a fragment, and not a committee of parts pretending to be one thing. It's how a company works: hundreds of people and tools, and the world sees one name on the door.
Kael works the same way: many intelligences, one answer. The API, Harness, and Chat are three ways of reaching the same system.
A first pass at the answer is produced, the way any single model would attempt it.
That draft is reviewed against the request before it reaches you, catching what one pass tends to miss.
The system corrects what the check found, and only the refined result comes back.