Adaptive / Personalised Engine

Dynamic Routing & Matching Engine

improvesoutcomesrouting modelmatch

You might say…

  • We're still manually assigning learners to tutors based on spreadsheets and gut feel
  • Our routing rules made sense when we were small but they don't scale — mismatches are costing us
  • We can see after the fact which pairings worked well, but we can't apply those lessons automatically
  • Support tickets keep landing with the wrong team and getting re-routed, which slows everything down
  • We're leaving capacity on the table because we can't optimise allocations fast enough

What we build

An allocation engine that automates your matching and routing decisions at scale and gets smarter as outcomes come in. You define what a good match looks like — and the system learns from every completed assignment, improving its routing logic continuously so the best-fit allocations happen automatically, without a coordinator in the loop for every case. The result is faster throughput, fewer mismatches, and a routing quality that compounds over time.

Recognise the problem?

If one of these sounds like you, the fastest next step is a conversation about your specific shape.

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