Capability 03
Generative AI & LLM Apps
We build generative-AI applications—assistants, copilots, and retrieval-augmented systems—grounded in your own documents, data, and rules. We handle retrieval and prompt design, evaluation, guardrails, and the interface, so the result is useful and safe in production, not just a demo.
Discuss this capabilityBest fit
For teams that want an assistant, copilot, or smart search experience built on their own knowledge and workflows.
We start by defining the boundary of the system and the evidence required to trust it.
Typical delivery
- 01Retrieval and data pipeline
- 02Prompt and evaluation design
- 03Guardrails and safety controls
- 04Production assistant or feature
Designed outcome
What this capability can change.
The product is shaped around a real operating result, not a catalogue of AI features.
- Support and knowledge assistants
- Document Q&A and search
- Drafting and summarization tools
- In-product copilots
Before the build
Questions worth resolving early.
Will it use our own data?+
Yes. We ground answers in your documents and systems with retrieval, and cite sources where it matters.
How do you stop wrong answers?+
With retrieval grounding, guardrails, evaluation sets, and human review on sensitive actions.
Which model do you use?+
We choose by quality, privacy, latency, and cost, and keep the design portable across providers.
Engagement signal
Know what this service is built for.
- Best fit
- A knowledge or assistant use case
- First step
- Use-case and data review
- Human review
- Built-in