Skip to Content

AI Agent Development That Does Real Work, Safely.

We design and build AI agents, copilots and automations that plug into your systems, follow your rules and get measurably better over time.

Capabilities

Specialised AI Capacity, Deployed Like Infrastructure.

Every agent ships with guardrails, an audit trail and a named human owner on your side.

01 · Flagship

Context-Aware Agent Swarms

Coordinated teams of specialised agents — planner, builder, reviewer, tester — that share memory of your codebase, tickets and documentation, and hand work to each other like a disciplined squad.

  • Shared context
  • Role-based agents
  • Self-review loops
  • Audit log
Design your swarm
02

Persistent 24/7 AI Employees

Always-on agents that own a role, with persistent memory, escalation rules and a regular performance review.

  • Always on
  • Memory
  • Escalation
03

Knowledge Assistants

Retrieval-augmented assistants that answer from your documents, policies and records — with citations your team can check.

  • RAG
  • Citations
  • Access control
04

Workflow Automation

Document capture, classification, data entry and routing — handled end to end, with humans approving the exceptions.

  • Extraction
  • Routing
  • Approvals
05

AgentOps and Evaluation

Tracing, evals and cost controls for every agent in production, so quality is measured and spend stays predictable.

  • Evals
  • Tracing
  • Cost guardrails
Where it helps

Use Cases Across Every Department.

Sales

Lead qualification, quote drafting and follow-up reminders based on CRM activity.

Finance

Invoice capture, matching and anomaly flags before anything is posted.

Operations

Quality pre-checks, stock alerts and purchase suggestions from live data.

Support

Ticket triage, suggested replies and knowledge-base answers with sources.

Guardrails

Built to be Trusted in Production.

AI that touches business data needs the same rigour as any other system. Our agents are designed to be observable, permission-aware and easy to switch off.

  • Runs with the access rights of the user it acts for
  • Every tool call logged with inputs, outputs and reasoning
  • Confidence thresholds route uncertain cases to people
  • Model-agnostic, so you are never locked to one provider
agent.policy // example
scopeRead: sale.order, res.partner
writeDraft only — never confirm or post
escalateIf confidence is low → sales manager
budgetToken and cost cap per run
auditEvery action logged to chatter
Illustrative example
Stack

Tools We Build With

  • Python
  • LLM APIs
  • PostgreSQL
  • Odoo AI agents
  • Server actions
  • REST and RPC APIs

Have A Process That Should Run Itself?

Describe it in a few lines. We will tell you plainly whether AI is the right answer.