Production-grade agents for the work that actually matters.
From research copilots to autonomous operations crews, we engineer agentic systems with the guardrails, observability, and reliability your business demands.
Most "AI agents" never make it past the demo.
Prompt chains break in production. Tools hallucinate side effects. Hand-offs lose state. Teams ship pilots, not platforms.
A reference architecture for agents that ship.
Slow, deliberate planning models drive fast, deterministic executors. Reliable and auditable.
Every tool is schema-validated. Side-effectful actions sit behind policy gates and approvals.
Golden traces, regression sets, and CI for agent behavior — like tests, but for reasoning.
Run-level tracing, cost attribution, and failure replay tooling baked in from day one.
From kickoff to production,
in the open.
- 01
Workflow discovery
Identify the highest-value workflows where autonomy compounds.
- 02
Tooling & policy design
Define the action surface, permissioning, and human checkpoints.
- 03
Agent assembly
Build the planner-executor split, memory, and routing.
- 04
Eval & red-team
Run adversarial evals and behavioral regression suites.
- 05
Phased rollout
Ship to shadow mode, then assisted, then autonomous.
- 06
Operate & improve
Continuous evaluation and tool expansion.
The tools we reach
for first.
- Claude
- GPT-5
- Gemini
- Open-source LLMs
- LangGraph
- CrewAI
- Custom DSLs
- AWS Bedrock
- GCP Vertex
- Kubernetes
- Temporal
- LangSmith
- OpenTelemetry
- Datadog
- Custom replay
What you get when this lands.
Each tool you add to the action surface multiplies what every agent can do.
Every decision is traceable, replayable, and attributable.
Policy gates, dry-run modes, and human approvals where stakes are high.
Dashboards that show what agents are doing — without reading raw logs.
A real engagement
in this shape.
A new fraud-detection platform, deployed in 14 weeks.
We rebuilt Nuvo’s fraud platform around a real-time agentic decision engine — cutting false positives by 64% while accelerating settlement.
Things people
usually ask.
A focused workflow ships in 6–10 weeks. We start with shadow mode and graduate to autonomy as evals stabilize.
Services that
often pair with this.
Let’s scope what this looks like for you.
A 30-minute technical conversation. No slides, no salespeople.