Kardinal launched its route optimization API in self-serve.
“With this launch, we are making a bet: thanks to AI, route optimization will not just be faster, it will be more reliable. For ten years, we have refined our algorithms in contact with real operations, with all their exceptions and field constraints. Today, we are passing this same rigor on to agents: reasoning correctly about the real problem, rather than acting fast on a simplified version of it. This is what has always made the difference for our clients. It is now within reach of anyone building with agents,” says Cédric Hervet, co-founder, Kardinal.
Key takeaways:
· Kardinal invested in harness engineering: designing how agents access and use software, so they get the right information at the moment they need it. Today, that means documentation written for agents, explaining when to use each setting and how to handle the hard cases of real-world logistics, along with tools built for the way they work, from a command-line interface to an SDK that catches mistakes early.
· Next, Kardinal will bring this guidance into the API itself: when a delivery plan doesn't hold up, the response will explain why and what to try next, so the agent can keep reasoning instead of getting stuck.
· The route optimization API includes developer console, API keys, usage tracking, Python SDK and documentation designed to be machine-readable, public modeling guides, grounded in real industrial cases, and transparent pricing.
