Get recommendations for routes, frequencies, and microtransit zones within your agency’s budget and fleet. Explore predicted ridership, scenario planning, and accessibility analysis to inform service decisions.
Make data-driven decisions, develop phased implementation plans, and optimize your multimodal network with our AI-powered platform.
Deliver a fully white-labeled trip planner app with your branding, real-time updates, and multimodal routing so riders can plan complete journeys in one place.
Support your agency’s dispatch and service decisions with algorithmic dispatching tools, real-time vehicle information, and performance reporting. Your team manages the service; Ontra provides the software.
Common questions about how Ontra fits with the tools and decisions your agency already has.
Ontra combines travel demand modeling, optimization, and simulation to generate service options such as fixed routes, on-demand service zones, and frequency changes. Agencies can compare scenarios, understand tradeoffs, and build phased implementation plans while keeping planners in control of what moves forward.
Ontra helps agencies generate and evaluate fixed routes, on-demand service zones, frequency, service span, and policy changes. For a given scenario, the platform generates service options, searches across various combinations, and recommends service changes based on the agency’s objectives and constraints. This helps planners compare the tradeoffs for each scenario, empowering them to make better decisions.
Ontra uses travel-demand modeling, optimization, and simulation to generate and compare service scenarios. Agency staff set the budget, fleet, service standards, operational constraints, and policy goals. Ontra shows the projected impacts of each scenario, while planners decide what to refine, present, or implement.
Ontra can start with GTFS and available ridership data. APC, AVL, fare, origin-destination, on-demand, and time-of-day data can improve calibration when available. Agencies can configure operating costs, fleet, infrastructure, and other operational constraints for each scenario.
Ontra works alongside existing planning and scheduling systems. Agencies can import GTFS and supported network data, compare scenarios in Ontra, and export results in GTFS and GIS formats for use in downstream workflows. This allows agencies to add optimization without replacing the systems their daily operations rely on.
Start with one question
Tell us what you’re trying to figure out. Our team will review your question and available data, then email you an initial finding and a suggested next step. No account or meeting needed.
Need a starting point? Try a question:
Start with a focused assessment. If there’s more to explore, we can scope a pilot together.
See how Ontra can help your agency plan smarter, faster, and more equitably.
Stay up to date with our latest announcements
In Transit Tech Lab’s 2026 proof of concept, Ontra estimated that a cost-neutral MTA LIRR timetable could save riders about 177,000 hours a year and a redesigned NYC Transit Brooklyn bus network could add about 2.1 million annual riders.
Ontra won the Transport & Mobility category at the 2026 BE100 pitch competition at Blue Earth Summit in London, for helping transit agencies plan better service.
How Ontra brings demand modeling, optimization, and scenario testing into one workflow to recommend service that works under real-world constraints.
See what others are saying about us
Anthony Trasatti joins our friends Lizzie Speed (Greenlight Robotics) and Walter Jenkins (TransitChat).
How Ontra used its AI platform to predict demand and recommend routes and schedules for MTA LIRR and NYC Transit, designed to cut passenger ride time.
Ontra joins Transit Tech Lab’s 2026 cohort to run a proof of concept with MTA New York City Transit and MTA Long Island Rail Road.
