Vehicle routing & fleet planning
Cut vehicles and miles across large networks. On a real engine for Brazil's largest sugar producer, this meant −20% fleet across 40,000+ locations.
Service
Optimization & decision systems
The decisions no one can make by hand — routing, scheduling, allocation, and planning under uncertainty — turned into solvers that survive contact with production.
Most operational decisions — which vehicle covers which trip, who works which shift, how to split a limited budget across competing demands — are optimization problems hiding in a spreadsheet. Solved by hand, they leave money on the table every single day.
BIS models those decisions precisely and solves them with the right method — exact where it pays, heuristic where it must scale — then wires the result into software your planners actually use.
What we build
From a messy decision to a solver you can trust
We frame the decision in measurable terms, choose the technique that fits the structure and the deadline, and deliver an engine that runs against your real data — with the trade-offs visible, not hidden behind a black box.
Scheduling & rostering
Crew and shift scheduling, run-cutting, and timetabling — the column-generation and set-partitioning methods used in real transit and workforce operations.
Allocation & planning
Split constrained resources — budget, capacity, inventory — to hit targets, with the cost of every constraint made explicit.
Optimization under uncertainty
Robust and stochastic methods (the subject of a peer-reviewed publication) for plans that hold up when demand, prices, or travel times move.
Why it's different
Science, not model wrappers
Anyone can call an API. The hard part is the model: getting the objective, the constraints, and the data right so the answer is both optimal and operable. That is operations research, and it is the founder's PhD.
You can see the method live — the interactive demos solve real problems in your browser, including a GTFS transit optimizer that computes the exact minimum fleet.
Have a problem worth solving?
We start with a conversation, prove the value on a focused POC with your real data, then ship it — measurable ROI, not a model demo.