Services/Full-stack AI products
Capability
Full-stack AI products
Ship AI product surfaces end to end.
Supporting depth for AI Product Engineering: architecture, backend, frontend, and model integration with a path to production ownership.
What we build
The engineering pieces included under this capability.
Product architecture
Clear boundaries for AI features, data, and UX.
Full-stack delivery
APIs, UI, auth, and admin paths your team can extend.
Model integration
Agents, retrieval, or generation wired to real product flows.
Eval & hardening
Quality bars, fallbacks, and launch criteria before users.
Handoff
Docs and ownership so the system is not trapped with us.
Example use cases
Concrete jobs this capability is built for. Not a full project proposal.
01
AI feature in an existing product
Add a chat, draft, or recommend surface to a SaaS product you already ship, with production auth and APIs.
02
AI-native first release
Build a focused first version of an AI product that real users can try, then harden instead of rewriting.
03
Internal operator console
Give ops or support a UI around agents or retrieval so the team can run the system day to day.
Build path
- 01
Scope the thin slice
One user job, one data path, one success metric.
- 02
Build the vertical
UI + API + model path shipping weekly.
- 03
Productionize
Evals, monitoring, and handoff for the owning team.
Typical stack
App
Data
AI
Need this in production?
Bring the use case and constraints. We will say if a sprint or pilot fits.