Rumblelab · CP-SAT Research Lab

Is your operation one "sick day" away from a meltdown?

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Mission

We convert tribal knowledge into rigorous logic.

Running a complex business on brittle spreadsheets is a "key-man" risk. If your scheduler got hit by a bus, or retired, profitability would suffer. We research how to extract the "magic" from your best employees and bake it into a mathematical model — without losing the nuance your best people bring today.

Focus: Manufacturing · Waste & Logistics · Healtcare

Who this is for

For the person everyone yells at when the schedule breaks.

If you own the schedule, route, or staffing plan — and you’re the one fixing it on nights and weekends — this is for you.

  • Planners determining the optimal product schedule.
  • Schedulers and practice managers rebuilding on-call calendars by hand.
  • Dispatchers and routing leads juggling trucks, time windows, and angry customers.
  • Ops leaders trying to balance fairness, coverage, and cost in one spreadsheet.

You don’t have to know anything about CP-SAT. You just need to know how your world actually works. We translate that knowledge into a model that runs itself.

Logic vs. Hype

Math doesn't hallucinate.

LLMs are great at chatting, but terrible at logic. If you ask an AI to schedule 10 people with multiple constraints, it will lie to you. We use AI to listen to your human problems, but we use Google’s CP-SAT solver to guarantee a solution that is 100% compliant, every time.

  • Profit: Find the mathematically perfect schedule or route in seconds, reducing downtime, overtime and/or fuel costs.
  • Compliance: Put the right people on the right jobs at the right time.
  • Fairness: Balance burnout and requests based on data, not favoritism.
Research

Where is your 20% of wasted capacity hiding?

Our research focuses on the 10x leap. We are looking for the "unsolvable" problems where incorporating your spreadsheet into a solver changes the unit economics of a business.

  • Can we automate a 4-hour management task into a 30-second solve?
  • How do we translate "messy" rules into constraints?
  • Which industries are currently being hamstringed by manual scheduling?
Collaborate

Does your business run on complex logic?

We are looking for "impossible" tasks to stress-test our models. If you’re struggling with manufacturing, healthcare scheduling, or logistics, I’ll tell you if CP-SAT can solve it—no strings attached.

Email me your nightmare ↗
Or just reply "I'd like to follow along" and I'll send you occasional notes about our research.