Decades behind the systems and methods that turn district data into savings.
The Bus IQ team has spent 17 years building and running critical public transportation software at statewide scale. Its founder has spent 20 years in data analytics, finding savings inside operations.
School transportation budgets get more challenging every year. Operating costs keep rising, and the money to cover them has to come from somewhere else in the district. When it does, the cuts land on the people who were never part of the decision: students who lose a route, spend longer on a bus, or need another way to get to school, and the staff who are left to figure it out and do more with less.
Budgets aren’t the only thing in short supply. Drivers and staff are too, so it’s all hands on deck to cover the gaps, leaving teams stretched thin and working out on the fly how to do more with less.
We built Maximizer to close that gap for transportation teams and the districts they serve. The money to ease it is usually already inside the operation. So are the efficiencies, including ways to keep service running with fewer available drivers. All of it sits in the difference between what was planned and what actually ran, and nobody has time to go looking. Maximizer makes it visible, makes it defensible, and makes the work easier, so a district can run transportation efficiently and each budget year lands a little lighter on the kids and the people who serve them.
Where Maximizer Comes From
Five disciplines, built up over two decades, that together explain why Maximizer looks at a transportation program the way it does.
Public-Sector Transportation Software
Years spent building and supporting the systems public agencies rely on to move people every day, and learning where the data in those systems is trustworthy and where it is not.
Corporate Finance
The discipline of tying every claimed saving back to a line item, a baseline, and an assumption someone can check. If it cannot survive a CFO's review, it is not a saving.
Operational Performance
Knowing how an operation actually runs, not just what it costs. That’s why Maximizer tracks operational health: service and performance measured on what really happened, because savings that hurt service are not savings at all.
Telematics
Hands-on experience with vehicle data: what GPS, engine, and idle feeds really measure, what they miss, and how to use them without overstating what they prove.
Advanced Data Science
Exact algorithms and Bayesian updating, not an AI agent. It’s important to us that Maximizer is built on the raw data and math of the operation, and that every estimate carries a confidence level that tightens as real data comes in.
in savings and cost avoidance
The same methods now run inside the platform.