Inside real products
AI systems designed to work inside real products — handling support, internal knowledge, and documentation using your data.
Not generic chat. Not experimental tools. These are production-ready systems built to reduce real workload.
From customer-facing support to internal operations, we design AI that fits into your existing workflows and applications.
Start with the problem: where AI can sit in your product or operations — then use the demos below to see it working.
Embed AI directly into your product or support portal:
Works inside
AI assistants for teams:
Works inside
AI-powered documentation interfaces:
Works inside
AI as part of your product:
Built for
These aren’t the story by themselves — they’re proof of the patterns above: the same system, configured for different roles.
AI answers customer queries using your help center and policies — with responses your team can verify.
One place to ask about HR, IT, and internal processes — grounded in your actual documents.
Natural language over long docs, SDKs, and runbooks — with precise references.
A flexible AI surface you can embed or adapt — from general chat to structured workflows.
All demos use the same underlying system — adapted to different use cases. One approach, not four separate products.
Production AI systems are not open-ended chat — they are grounded systems.
Your data → retrieved → model answers from it
On the system side:
This is how AI can fit into a real product and workflow — the demos show the behavior. If that matches what you’re building, we can map the same approach to your data. Short call, clear scope, no pressure.