Enterprise AI platforms and multi-agent systems
One-off chatbots don't transform an enterprise. A platform does. ColibriCode designs and builds the shared foundation your teams use to deploy AI safely at scale — orchestrated agents, a model gateway, secure connections to your systems, and governance that satisfies security, legal and finance.
What the platform includes
Multi-agent orchestration
Specialized agents that hand work to each other across departments, with human approval steps.
Model gateway
One secure entry point to private and commercial models, with routing by cost, speed and sensitivity.
MCP and API connectors
Permissioned access to ERP, CRM, PLM, MES, data warehouses and document systems.
Enterprise knowledge layer
AI search and reasoning over millions of documents with access control and citations.
Governance
Identity, least-privilege permissions, audit logs, kill switches and usage quotas per team.
Evaluation and observability
Quality, cost and latency tracked for every agent and model.
How we deliver
- 1
Discovery (4–6 weeks)
Use-case portfolio, architecture, security review, business case.
- 2
Foundation
Gateway, identity, connectors and first two high-value agents in production.
- 3
Scale
New agents and departments onboarded in fixed-scope waves.
- 4
Operate
Managed platform operations, evaluation and cost reporting.
Built with
Python for agents and evaluation, Go for the gateway and high-concurrency services, TypeScript for portals and admin tools. Deployed on Google Cloud, Azure, AWS or on-premises.
Frequently asked questions
Build or buy an AI platform?
Buy commodity pieces; build the parts that encode your processes and data. We design the platform around what you already license.
How do you keep agents safe with access to core systems?
Least-privilege permissions, human approval for high-impact actions, prompt-injection testing and full audit logs.