Agent architecture
Task boundaries, models, tools, memory and orchestration designed around the actual operating environment.
AI agents & infrastructure
We build task-specific agents around explicit permissions, reliable integrations, evaluation suites and operational controls instead of uncontrolled demonstrations.
Discuss your projectCapabilities
Task boundaries, models, tools, memory and orchestration designed around the actual operating environment.
Permissioned APIs and MCP-based connections with least-privilege access and clear failure behavior.
Test datasets, regression evaluation, observability and review workflows for continuous reliability.
Delivery
We specify the task, authority boundaries, risks, quality thresholds and escalation paths.
We build integrations, guardrails, evaluations and a controlled production pilot.
We monitor traces, incidents, cost and quality while improving the agent against real cases.