How do you stop AI from making things up?

We ground answers in retrieved sources, ask the model to cite them, test against real questions and tell users clearly when the system is unsure.

AI & Data

Generative AI & LLM apps

We turn large language models into dependable product features, grounded in your data, measured with evaluations and protected with guardrails.

What you can expect

Pilot in 4–8 weeks, then product team

01What's included

LLM-powered features that are accurate, safe and worth paying for.

01
Use-case discovery
We find the tasks where AI creates real value and estimate the return.
02
Retrieval pipelines
Search over your documents and data so answers cite real sources.
03
Evaluation & guardrails
Test sets, scoring and safety rules that keep quality high.
04
Production deployment
Monitoring, cost controls and fallbacks for when models misbehave.

02Is it right for you?

Ideal for

Not sure it fits? Book a free 30-minute call and get an honest answer.

Typical stack

03How we deliver

01
Discover
Typically 1–3 weeks
We map your goals, users and constraints, then define what success looks like in numbers.
02
Design
Typically 2–4 weeks
Architecture and experience are designed together, so the product is beautiful and buildable.
03
Build
Two-week sprints
Senior engineers ship in short, demo-able sprints with automated testing from day one.
04
Launch
Typically 1–2 weeks
Hardened, monitored and documented: we go live with a rollout plan, not a leap of faith.
05
Grow
Ongoing
SEO, paid acquisition and product analytics compound the value of what we built together.

04Proof

Much of this work is under NDA.

Tell us about your project and we will share relevant examples and references on a call.

05FAQ

No. We use enterprise model providers and settings that exclude your data from training, and we can deploy within your own cloud when required.