Off-the-shelf AI tools solve generic problems. The work that actually moves your business is specific to how you operate, and no vendor tool fits it exactly. Most custom agent projects also stall at a demo, with no path to production.

We ship agents that reach production and stay there.

Scoping. We define exactly what the agent does, which systems it connects to, the guardrails it needs and how success is measured, before writing a line of code.

Build. Custom development integrated with your data sources, APIs and business systems, using the LLM and architecture that fits the task.

Test and evaluate. Structured evaluation with test datasets, edge cases and human-in-the-loop review, so the agent is proven before it reaches production.

Deploy and operate. Production deployment inside your environment with orchestration, monitoring and runbooks, plus knowledge transfer so your team can operate and extend it.

Agents run inside your environment under your governance rules, with guardrails, human oversight where it matters, and continuous monitoring. Every step is auditable.

Most custom agents are built in a tight, scoped engagement of roughly 6 to 12 weeks rather than an open-ended project. If you fund the build, you own the IP.

Proof. For a major Australian retail media network we built an agent that prepares client proposals from audience data, inventory data and rate cards, turning a slow manual task into fast, consistent output.