Kardinal turns 10 years of production logistics constraints into a self-serve REST API. 149 real-world constraints supported, typed SDKs, an open-source MCP server so AI agents can call it directly.
Kardinal started in 2015, doing route optimization for logistics teams the hard way: months of sales cycles before anyone could tell if a solution actually fit their constraints. Ten years and hundreds of production cases later (DPD, GLS, JCDecaux among them), we're opening that same engine as a self-serve API. No sales call, no configuration marathon. Create an account, send your data, get optimized routes back. We're also building for a new kind of user: AI agents that need to model routing constraints, not just call an endpoint.
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