AGENTIC AI ENGINEERING
Production agentic systems, engineered end to end.
We build and operate production agentic systems. We engineer the runtime, inference, observability, security, tools and infrastructure required to make those systems work.
10 services · 3 groups
Build. Test. Deploy. Scale.
Each service is one part of the same lifecycle. Most systems need several of them; one team engineers all of it.
Agent Engineering
01The agents and the systems around them.
- AI Agent & Agentic AI DevelopmentCustom agents and complete agentic systems that do multi-step work with tools, data and controlled actions.
- Multi-Agent SystemsSpecialised agents that delegate, hand off and work in parallel.
- Agentic Workflow AutomationGive the system a task and let it complete the work.
Agent Platform
02Tools, evaluation, security and observability.
- AI Agent Tools, Integrations & MCPThe tool layer that connects agents to the systems where work happens.
- AI Agent Evaluation & TestingTest whether an agent actually does the job, reliably.
- AI Agent Security & GovernanceControlled authority for agents that can act.
- AI Agent Observability & OperationsSee what the agent did, why it did it, and where it failed.
Production
03Deployment, inference and the path to production.
How an engagement runs
We start from the work, not the model.
- 01
Understand the work
What the task is, who does it today, which systems and decisions are involved, and what success means.
- 02
Design the system
The architecture the workload actually needs — and a straight answer if it is better solved without an agent.
- 03
Build and test
The agent, its tools and data, with evaluation running from the first working version.
- 04
Deploy and scale
Into your environment, observed and operated as usage grows.
What we measure
The metrics depend on the system. There is no single universal “agent score”.
- Task completion
- Accuracy
- Grounding
- Tool-call correctness
- Workflow completion
- Success rate
- Failure rate
- Human escalation rate
- Latency
- Throughput
- Token consumption
- Cost per task
- Retrieval quality
- Policy compliance
- Security events
- Runtime reliability