Because for too long, businesses have been forced to choose between powerful, mathematical optimization engines or intuitive, but unintelligent, scheduling tools. That compromise ends today: Together, we bridge the gap between complex optimization and clear, interactive schedules.
Some things just belong together.
Timefold’s PlanningAI engine optimizes complex, large-scale scheduling problems in real time. Bryntum visualizes these into beautiful, interactive schedules that are ready to use. Put them together and you finally have the intelligent scheduling solution you always needed.
Why this partnership matters
A mission, super‑charged
From day one, we set out to free the world from wasteful scheduling. Enterprises across the globe already rely on PlanningAI to slash overtime, cut driving time and delight customers. Yet the biggest barrier to scaling optimization has always been perception: “It’s too complex.” That ends here. With Bryntum’s polished components seamlessly wired to Timefold’s APIs, complexity becomes clarity.
Embed once, optimize forever
Whether you're managing a workforce, running logistics, or routing field teams, our optimization models drop straight into your system with a single API call. And if you add Bryntum, you get fast, clean and responsive Gantt charts, resource calendars, and task dependencies. While our engine handles hundreds of constraints, thousands of tasks, and real-time changes effortlessly, Bryntum brings the clarity.
For the real world
It’s time to pull planning optimization out of the specialists’ corner and put it in the hands of every team that needs it. Together, Timefold and Bryntum are turning algorithmic power into everyday productivity.
Want to learn more? Contact Bryntum, or talk to us!
Let’s talk about the elephant in the optimization room: enterprise planning is stuck in the past. And in order to catch up, understanding how the world plans helps. Let’s break down the 4 levels of scheduling.
It’s one thing to solve a VRPTW (Vehicle Routing Problem with Time Windows). It’s another to put it in production for a fleet of 50,000 technicians and save hundreds of millions of dollars per year. There are more constraints. More objectives. And that’s the easy part.
