01
Agentic AI Architecture
Production-ready system design from first constraint to handoff. On-premise, cloud, or hybrid.
Your agents need
architecture.
Not another prototype.
Prototypes demo well. They rarely survive compliance reviews, cost audits, or their first thousand users. We architect agent systems for the constraints that kill them in production.
01 — Services
What we deliver
02
Multi-Agent Systems
Coordination logic that scales. Task decomposition, routing, and failure recovery across agent swarms.
03
Security & Guardrails
Threat models for prompt injection, data exfiltration, and privilege escalation — built in, not bolted on.
04
Cost Architecture
Token spend under control. Model routing, caching strategies, and infrastructure sizing to hit your unit economics.
02 — Architecture
How we work
01
Discovery
Define constraints, map data flows, identify every integration surface.
02
Design
Architect agent topology, tool schemas, guardrails, and observability — on paper before code.
03
Build
Implement with LangGraph, CrewAI, AutoGen, or custom orchestration. Your stack, our patterns.
04
Harden
Security audit, cost profiling, load testing. Production handoff with documentation.
Agent topology
Multi-agent collaboration
A supervisor delegates to specialised agents — planners, executors, and reflectors — each backed by dedicated tools, memory, and guardrails. Simple enough to explain in a single diagram.
03 — Philosophy
Most agent builds fail at the architecture layer.
We are not a dev shop. We are an architecture practice. Every engagement starts with constraints — infrastructure limits, compliance requirements, latency budgets, cost ceilings — before a single agent is scoped.
Every system we design ships with trace-level logging, cost-per-invocation dashboards, and security guardrails tested against OWASP LLM Top 10. No retrofitting. No technical debt by default.
We believe the best agent systems are precisely scoped, rigorously tested, and simple enough to explain in a single diagram.