Core service

AI Agents & Agentic Systems

Software that doesn't wait for instructions. We build agents that decompose goals, orchestrate tools, and close the loop on real work.

Overview

Autonomous software that plans, reasons, and acts.

An agent is only as good as the architecture around it. We engineer the full loop: a planner that decomposes goals, a controller that routes between specialised sub-agents, a tool layer with typed contracts, and a memory system that grounds every decision in verifiable context.

Our multi-agent designs assign distinct roles — researcher, executor, critic, supervisor — and coordinate them with deterministic guardrails so behaviour stays observable, testable, and reversible in production.

Benefits

Why teams choose this

Goal-directed autonomy

Agents decompose objectives into verifiable steps instead of single-shot responses.

Tool-grounded actions

Typed tool contracts and schema validation keep every action auditable and safe.

Human-in-the-loop control

Approval gates, dry-runs, and rollback give operators authority over consequential actions.

Deterministic guardrails

Policy layers and constrained decoding bound the agent's action space.

Capabilities

What we build into every system

Planner / Executor split

Separate reasoning from action so plans can be inspected before execution.

Tool & function calling

Strongly-typed tool registry with validation, retries, and timeouts.

Persistent memory

Episodic + semantic memory backed by vector and relational stores.

Multi-agent orchestration

Supervisor routing across specialised role-based agents.

Evaluation harness

Trajectory scoring, regression suites, and replayable traces.

Safety & policy layer

Action allow-lists, rate limits, and escalation policies.

Architecture

Reference agent architecture

A supervised multi-agent loop with typed tools, grounded memory, and human approval gates.

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Goal IntakeObjective + constraintsPlannerTask decompositionSupervisorRouting & controlResearch AgentRetrieval + synthesisExecutor AgentTool callsCriticVerificationTool LayerTyped contractsMemoryVector + relationalApproval GateHuman-in-the-loop
Use cases

Where it creates leverage

92%alerts auto-triaged

Autonomous SOC triage

Agents enrich, correlate, and triage alerts before a human ever sees them.

11xthroughput vs. manual

Back-office orchestration

Multi-step finance and ops workflows executed end-to-end with audit trails.

70%time saved per brief

Research copilots

Agents gather, verify, and synthesise sources into grounded briefs.

Let's build something that ships.

Bring us a problem. We'll tell you honestly whether AI is the right tool — and exactly how we'd build it.