Generative AI & AI Agents
An agent that is confidently wrong is worse than no agent at all. We build generative systems grounded in your own knowledge base, with evaluation and guardrails treated as core engineering, not an afterthought.
What this
covers.
RAG systems, copilots and autonomous agents that do real work inside your business — grounded in your data, with guardrails that hold.
Discuss your projectRetrieval-augmented generation
Hybrid search over your documents, tickets and databases so answers cite real sources instead of inventing them.
Autonomous agents
Tool-using agents that plan, call your internal APIs and complete multi-step workflows with human checkpoints where they matter.
Domain copilots
Assistants embedded in the tools your teams already use, tuned to your terminology, tone and compliance boundaries.
Evaluation & guardrails
Regression suites, hallucination scoring, prompt-injection defence, PII redaction and full audit trails.
Outcomes we
commit to.
Tools we
reach for.
This list is a starting point, not a policy. Final choices follow your existing systems, your team's skills and what you already pay for.
How a project runs.
Discover
We map your workflows, data and constraints, then agree what success looks like in numbers before anyone writes code.
Architect
A technical plan built around your actual systems and team — not a reference architecture lifted from a vendor deck.
Build
Two-week increments with working software at the end of each. You see progress continuously, never as a reveal.
Validate
Automated tests, model evaluation, load testing, security review and accessibility audit before anything reaches users.
Deploy
Staged rollout with monitoring, alerting and rollback in place from the first production request.
Enable
Documentation, architecture walkthroughs and pairing until your team can extend the system without us.