05 / Practice
AI Products
Bespoke AI that ships, not demos.
We build AI products that earn their place in the workflow — grounded in your data, evaluated against your reality, and operated like the rest of your stack. No magic, no hand-waving, no permanent beta.
A / What we deliver
Concrete deliverables, not slideware.
- RAG pipelines over your documents, code, and warehouse
- Agent orchestration with tool-use, retries, and audit trails
- Eval suites — golden sets, regression dashboards, drift alarms
- Fine-tuning and distillation when off-the-shelf isn't enough
- Cost-aware model routing across OpenAI, Anthropic, and open weights
- Prompt-injection defenses and PII boundaries baked in
B / How we work
Three steps that earn their place.
Ground
Find the workflow where AI compounds rather than ornaments. Pick the metric a human will defend in a meeting.
Prototype
Build the thinnest version that touches real data, real users, real failure modes. Measure honestly.
Operate
Treat the model like infrastructure — versioned, observed, rolled back like any other deploy. Quiet wins compound.
C / Tech we reach for
Our default stack for ai products.
Every brief is different — these are the tools we reach for first. We pick what the workload deserves, not what the resume rewards.
D / Ideal for
Who this is for.
- 01Teams with proprietary data and a workflow worth automating
- 02Founders shipping their first AI feature into a real product
- 03Operators tired of demos that don't survive contact with users
E / Next step
Brief us on what you're building.
Tell us the problem, the constraints, and the deadline. We reply with a discovery call and an honest read on whether o2no is the right fit.
F / Other practices