Custom LLM products — copilots, assistants, and generative features — embedded right where your users already work, not bolted on beside it.
Overview
A copilot in a separate tab gets ignored. We build LLM features into the flow your users are already in, with streaming UX and context that makes them genuinely useful from the first interaction.
Features embedded where work already happens, so adoption is natural.
The right context and prompts so answers fit your product and your user.
Streaming, caching, and thoughtful states that make it feel instant.
Clean code and architecture you keep — no black box, no lock-in.
What you get
Models
Retrieval
Experience
Our approach
We pinpoint where in your product an LLM feature actually helps.
Prompt and context architecture that grounds the feature in your data.
Streaming, states, and caching that make it feel fast and reliable.
Launch, watch real usage, and tune prompts and behavior.
Where it fits
FAQ
Send a short brief or book a call. Within one business day you'll have a suggested scope, a timeline, and a ballpark — no obligation.