MTA-Backed Lab Reports 17 Infrastructure Tech Trials in Eight Weeks

Seventeen companies completed eight-week proofs of concept with the MTA and the Port Authority of New York and New Jersey, the Transit Tech Lab reported, targeting infrastructure condition and data-handling across one of the busiest transportation corridors in the United States.

The lab, a public-private initiative created by the Metropolitan Transportation Authority and the Partnership Fund for New York City, published results from its 2026 cohort on April 30. The trials covered two challenge areas announced in January: advanced infrastructure and data and workflow modernization. Those challenges drew 138 applications from around the world.

Since its founding, the program has supported 126 proofs of concept, 64 pilots and 23 commercially scaled technologies. The gap between those figures is worth noting: roughly one in five proofs of concept has reached a pilot, and fewer than one in five pilots has scaled commercially.

What did the trials actually measure?

The lab frames the results as demonstrations of potential rather than validated operational gains. Most of the infrastructure-challenge work involved data collection and scoping exercises, not full deployments.

Still, several companies produced concrete outputs:

• Dynamic Infrastructure collected 394 images and more than 100 pages of inspection data across two MTA subway stations and five PANYNJ World Trade Center facilities, building a single condition-intelligence system for capital planning.
• Enspi Technologies evaluated 472 MTA stations for electrical risk and built a digital twin to simulate fault behavior at key sites.
• Delphisonic installed a sensor suite on a PATH rail car to gather real-time track-condition data and suggest predictive maintenance needs.
• Strobe Power assessed MTA energy assets and shortlisted five facilities for modeling the financial case for batteries, solar power and generators.
• T2D2 generated detailed aerial maps of three PANYNJ airport and marine terminal facilities, which the lab says could cut inspection and documentation time.

Two trials took place outside the New York region entirely. Duos Technologies ran its trackside imaging platform on a bus in Jacksonville, Florida, as a proxy for an MTA bus, capturing imagery of suspension, brakes, drivetrain and engine. Viatec scoped, but did not install, a battery solution for a bucket truck to reduce engine idling and emissions.

Where were the measured results?

The data and workflow challenge produced the cohort's clearest quantified outcome. Hazel AI Technologies used its AI-powered software to help the Long Island Rail Road draft 15 technical scopes of work, cutting drafting time by 40%. That figure, one drafting cycle across 15 documents, stands as the only efficiency percentage in the report.

The remaining trials were demonstrations or scoping studies:

• Automotus scoped automated curb and terminal management to track bus movements at the PANYNJ Midtown Bus Terminal.
• contextere applied its AI insight engine to a street sweeper under servicing, giving technicians plain-language guidance drawn from manuals and service records.
• In A Blink ran two live demonstrations of light-based wireless transfer of video data from buses and trains, which the lab says reduces storage and wireless infrastructure costs.
• Ontra Mobility used its AI platform to predict demand and recommend LIRR and New York City Transit routes aimed at optimizing ride time.
• VIATechnik tested an AI-powered facility and asset management interface at JFK's Bergen Substation and the Bayonne Bridge.

What did the agencies say?

Partnership Fund President and CEO Maria Gotsch said: "These collaborations showcased valuable ways technology can help solve complex challenges across New York's transit network. By connecting technologists with experienced transit professionals, the Transit Tech Lab keeps producing solutions that have real potential to improve the system in the near-term and for years to come."

MTA Chief of Strategic Initiatives Jon Kaufman said the lab "allows us to explore ways of using private-sector technology to solve public-sector challenges" and provides insight into making infrastructure more resilient and operations more efficient.

PANYNJ Chief Technology Officer Rob Galvin noted that the region's seaport, commuter rail, bridges, tunnels, bus terminals and airport facilities serve millions of commuters across two states and underpin a billion-dollar regional economy.

What happens next?

The report does not state how many of the 17 companies will advance to pilots, on what timeline, or at what cost to the agencies. Whether the 40% drafting-time reduction and the condition-intelligence datasets translate into procurement decisions remains the test the 2027 cohort announcements will answer.