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Hexaly × Centre National d'Etudes Spatiales (CNES)

Hexaly x CNES, scheduling satellites when IBM solvers could not

Near-optimal schedules in 45 seconds on average

Manual schedule building to automated near-optimal results

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Why it works

The before-state is concrete and damning: the previous tool regularly failed to deliver solutions, forcing manual schedule building. Winning a formal benchmark against two named IBM solvers gives the competitive switch strong credibility. The story leans toward New Capability because the multi-objective partial-solution feature was not achievable with the incumbents at all, not merely slower.

Steal this

Citing the formal public tender and named benchmark competitors (IBM ILOG CPLEX, IBM ILOG CP Optimizer) as the selection process. This turns vendor selection into a verifiable, third-party-validated proof point rather than a testimonial.

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  • Vendor Hexaly
  • Customer Centre National d'Etudes Spatiales (CNES)
  • Industry Other
  • Trigger Public tender launched in 2018 to solve a satellite communication scheduling problem the incumbent tools could not reliably solve
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page