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Miovision introduces AI agent for traffic engineering
The mobility company claims the purpose-built generative AI agent reduces manual data analysis time from weeks to minutes through conversational interface.
At a glance
Who: Miovision; City of Coquitlam.
What: Miovision has announced the launch of Mateo, a purpose-built generative AI (GenAI) agent for intelligent mobility operations.
Why: To transform how traffic professionals analyse network data by converting complex datasets into actionable insights through natural language conversations.
Where: Mateo is available to traffic departments worldwide.
Miovision has announced the launch of Mateo, which it claims is the first purpose-built generative AI (GenAI) agent for intelligent mobility operations.
The intelligent mobility solutions provider reckons its AI solution transforms how traffic professionals analyse network data by converting complex datasets into actionable insights through natural language conversations.
Automating data collection
Mateo seeks to address the challenge facing traffic departments worldwide: according to a National Cooperative Highway Research programme study, four-fifths (78 per cent) of traffic professionals report that modern performance measures require too much time to analyse and manage.
By automating data collection and cross-referencing multiple applications, Mateo enables traffic engineers to focus on high-impact engineering work rather than administrative reporting.
“Traffic professionals have long spent hours sifting through mountains of data when they’d prefer to be tackling real mobility challenges,” said Kurtis McBride, CEO of Miovision. “The Miovision GenAI agent is the next step in our mission to transform ordinary intersections into intelligent systems that save time and empower traffic experts to work more proactively.”
“The technical breakthrough with the Miovision GenAI Agent lies in its ability to execute multi-step retrieval, reasoning, and data analysis to answer complex questions based on a city’s unique network data while following established traffic engineering standards”
By leveraging a reasoning engine powered by a large language model (LLM) and a broad set of agentic tools, Miovision claims Mateo allows transportation teams to generate cohesive visual charts, maps, and safety metrics from complex, siloed data sources, as well as export executive-ready summaries that help decision makers clearly demonstrate the impact on people in their community.
This allows traffic departments to move from defending budgets to quickly and easily demonstrating ROI on their investments through measurable improvements in safety and mobility.
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“The technical breakthrough with the Miovision GenAI Agent lies in its ability to execute multi-step retrieval, reasoning, and data analysis to answer complex questions based on a city’s unique network data while following established traffic engineering standards,” said Brent Rogerson, director, solutions engineering, Miovision.
“The Miovision GenAI agent is the next step in our mission to transform ordinary intersections into intelligent systems that save time and empower traffic experts to work more proactively”
“This is what truly separates it from general-purpose GenAI and basic chatbots. It also creates answers with an audit trail citing original data sources, ensuring high confidence on how responses were made.”
Mateo was first previewed at the ITS World Congress in Atlanta in August 2025, where Miovision gathered feedback from customers and partners before beginning beta testing. The City of Coquitlam in Canada served as the primary beta partner, helping refine the GenAI agent’s capabilities through real-world testing scenarios.
Following beta testing with the City of Coquitlam and other municipal partners, Miovision brings Mateo to traffic departments worldwide. Integrated natively into the Miovision One ecosystem, Mateo synthesises raw telemetry, hardware health, and safety metrics to provide instant root-cause analysis.
Miovision claims the AI agent can reduce investigation time for citizen complaints or network alerts by up to 95 per cent, transforming workflows that previously required weeks of manual analysis into seconds of conversational interaction.
Miovision reports that it plans to continue expanding Mateo capabilities with applications for traffic planning and engineering coming later this year, enabling a single, connected platform for continuous and temporary traffic data insights.
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