We build agents, then try our hardest to break them.
Three ways we work with teams shipping agentic AI — from a napkin sketch to a monitored production system.
Agent development
We design and build agentic systems end to end — planning loops, tool use, memory, retrieval, and orchestration — tuned to your data, workflows, and constraints.
- →Architecture & prototyping. Single-agent or multi-agent designs, with the right model for each step.
- →Tooling & integrations. Function calling, RAG pipelines, and connections into your existing stack.
- →Guardrails. Structured outputs, validation, and fallbacks so agents fail safely.
Evaluation & testing
The part most teams skip. We build eval harnesses and red-team your agents so you know exactly how they behave before real users find the edges.
- →Custom eval suites. Task success, tool accuracy, and hallucination metrics tied to your use case.
- →Adversarial red-teaming. Jailbreaks, prompt injection, and edge-case probing at scale.
- →Regression & CI. Every change re-tested automatically, so quality never silently drifts.
AI strategy & architecture
Not sure where agents actually help? We assess opportunities, de-risk the roadmap, and give your team a plan they can execute with confidence.
- →Opportunity mapping. Where agentic AI creates real leverage — and where it doesn't.
- →Build vs. buy. Model selection, vendor evaluation, and cost/latency trade-offs.
- →Team enablement. Patterns, tooling, and reviews that level up your engineers.
A tight loop from scope to production.
Scope
We map the use case, success criteria, and failure modes that matter.
Build
Working agent in weeks, wired into your data and tools.
Test
Eval harness and red-teaming until the numbers hold up.
Ship & monitor
Deploy with guardrails and dashboards that keep it honest.
Let's pressure-test your idea.
A 30-minute call is usually enough to know if we're a fit.
Get in touch