Custom Agent & Multi-Agent Engineering

Agents that plan, use your tools and finish the job. Single agents and coordinated agent teams connected through MCP and APIs.

We build single agents and coordinated agent teams, with planner, executor, specialist and reviewer roles, that connect to your systems through MCP and APIs. Workflows run sequentially, in parallel or in loops, with memory so agents learn and reuse your procedures.

What you get

  • Multi-agent orchestration with sequential, parallel and loop workflows
  • MCP servers for Jira, ServiceNow, Confluence, SharePoint, CRMs and internal APIs
  • Procedural and long-term memory so agents reuse proven workflows
  • Human-in-the-loop approvals and streaming interfaces in web, Teams or Slack
  • Model routing across Azure OpenAI, Gemini, Claude and open-weight models

Typical use cases

Release managementTicket triageChange approvalsSales researchProcurement intakeIT service desk

Technology we use

Google ADKLangGraphCrewAIMicrosoft Agent FrameworkModel Context Protocol (MCP)LiteLLMRedisFastAPI / SSE

From our work: We have built a multi-agent release management system for a global semiconductor engineering organisation: planner and executor agents over Jira via MCP, with policy checks on every action.

Bring us the workflow that eats your team's week.

In a 30-minute call with a senior architect, you'll learn whether an agent can take it on, what it would cost to build and run, and how we'd prove it works.

Book a discovery call