Kayros is like a super-smart air traffic controller for your factory. It constantly looks at all your machines, orders, and constraints, then automatically figures out the best possible production plan and schedule—and keeps adjusting it when things change.
Manual production planning and scheduling in manufacturing is slow, error‑prone, and can’t react quickly to disruptions (rush orders, machine breakdowns, material delays). Kayros aims to automate and optimize this planning so factories can increase throughput, reduce changeovers and downtime, and meet delivery dates more reliably.
If successful, the moat would be proprietary optimization know‑how for complex factory constraints, tuned models based on customer production data, and deep integration into existing MES/ERP workflows that make the tool sticky once implemented.
Classical-ML (Scikit/XGBoost)
Structured SQL
High (Custom Models/Infra)
Combinatorial explosion in scheduling/optimization complexity for large plants (many machines, products, and constraints), leading to long solve times and high computational cost.
Early Majority
Positioned as an AI‑driven, industry‑4.0 native planning and scheduling tool that can handle dynamic, real‑time re‑planning better than traditional rule‑based APS/MES modules from large industrial software vendors.