Custom AI Agent Development
End-to-end delivery, from requirements to production.
If you already have a clear use case and want to hand a high-frequency, well-defined workflow to an AI Agent, custom development takes you from requirements to production. We implement on our open-source framework open-multi-agent, so the code drops into your own stack, with private and on-premise model deployment supported.
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When it fits
- You have a clear high-frequency workflow (contract review, quote generation, support tickets) to automate with an AI Agent
- You've tried low-code tools like Dify or Coze but hit a wall on deep customization or internal-system integration
- You want AI embedded directly in your existing Node.js / TypeScript backend
- You have compliance requirements and need private or offline deployment
What you get
- Use-case mapping and agent design
- Custom implementation on open-multi-agent
- Prompt engineering and evaluation harness
- Production deployment and system integration
- Private deployment and data security
- Ongoing iteration and operations support
How we work
- 01
Assess
Map the scenario, data, and existing systems; judge feasibility and priority. The first diagnosis is free.
- 02
Validate POC
A runnable prototype and a versioned EvalSet set the acceptance baseline and a Go / No-Go recommendation. Optional, as the project needs.
- 03
Build & integrate
Custom implementation on open-multi-agent, wiring into existing systems and knowledge bases, with an evaluation harness.
- 04
Deploy
Production deployment, private and on-premise models supported, accepted against the baseline.
- 05
Handover
Custom project source, tests, runbooks, SOPs, and team training, handed to your team to run.
Want to know which service fits your scenario?