Build agentic AI

Production agents, from first workflow to on-call.

We design and ship production agent systems: orchestration, RAG, evals, and secure deploy. Fixed-scope or embedded, architecture to on-call.

What we build.

System	What it does	Built with
Agent systems	Multi-agent workflows that perceive, reason, and act across your tooling stack, with tool use, memory, permissions, and human review.	orchestration · tools · memory
Knowledge systems	Retrieval pipelines that ground answers with hybrid search, reranking, citations, and auditability.	RAG · hybrid retrieval · citations
Evaluation	Scenario suites, traces, cost budgets, and production feedback loops that gate every release.	evals · traces · budgets
Secure deploy	Tenant isolation, least-privilege tools, audit trails, and deployment controls.	isolation · audit · rollback
Fine-tuning	Domain-aligned model behaviour with LoRA/QLoRA and safety guardrails, when retrieval is not enough.	LoRA · datasets · guardrails

What ships with it: the web app, mobile app, admin console, and APIs the agent lives in. Built by the same team.

One accountable senior team. Real users and real data early. Every stage ends with something you can inspect, measure, and own.

01 · Week 01

We map the workflow, owners, constraints, data, and the metric that makes the project worth doing.

You get

Opportunity map

Risk register

Success measures

02 · Weeks 02–03

A narrow working slice reaches users early. We test retrieval, tool use, latency, and edge cases before scale.

You get

Working vertical slice

Evaluation set

Architecture decision

03 · Weeks 04–08

We harden the product through short delivery loops, with visible progress and production constraints built in.

You get

Production code

CI/CD and tests

Weekly decision log

04 · Weeks 09–12

We deploy, observe real behaviour, tune failure modes, and equip your team to operate what we built.

You get

Runbooks

Monitoring and evals

Team handover

01 Human approval where impact is high

02 Cost and latency budgets

03 Traceable model and tool behaviour

04 Rollback and incident paths

05 Clear data access boundaries

06 No proprietary lock-in