The new generative AI agent, called Mateo, can convert “complex datasets into actionable insights through natural language conversations,” according to a statement.
That, in turn, can cut by 95 percent the time needed to analyze traffic data, the 21-year-old company says.
By using the tool, public-sector traffic engineers and others can create charts, maps, executive summaries and safety metrics from data stored in “complex, siloed” sources.
Unlike some other products in this space, Mateo is a “natively data-aware Miovision One ecosystem,” Mark Gaydos, vice president of marketing at Miovision, told Government Technology via email.
That means Mateo can integrate hardware, video and cloud sources.
“The agent helps Miovision stand out by bridging the communication gap between technical staff and non-technical stakeholders,” Gaydos said. “Mateo translates complex ‘traffic-speak’ into plain-language narratives, helping justify budget allocations with evidence-based records.”
A handful of clients already have deployed the tool.
In Chicago, for instance, officials use Mateo to validate data from mass transit, he said. In Detroit, the AI agent helps the city to audit hardware, including dirty lenses on cameras, which in turn can prevent what he called unnecessary maintenance trips.
“These examples highlight how the tool moves agencies from reactive ‘firefighting’ to evidence-based management,” Gaydos said.
Mateo also can help engineers investigate complaints from citizens by “filtering network-wide telemetry” and “instantly flag deviations.”
The company started developing Mateo in 2024, he said, and it employs Claude Opus 4.6 for reasoning and GPT-5.1 for vision analysis. Miovision has more more than 5,000 customers in more than 68 countries. Gaydos said much of the company’s ongoing growth comes from municipal and regional departments of transportation.
