Miovision Introduces Mateo™: First GenAI Agent for Traffic Engineering - 10 to 1 Public Relations
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Miovision Introduces Mateo™: First GenAI Agent for Traffic Engineering

Intuitive agentic solution transforms traffic data management, reduces analysis time by up to 95%

  • First purpose-built GenAI Agent for intelligent mobility operations
  • Integrates natively with Miovision One platform to automate traffic network diagnostics
  • Reduces manual data analysis time from weeks to minutes through conversational interface

KITCHENER, ON. (April 7, 2026) – Miovision, the global leader in intelligent mobility solutions, announces the launch of Mateo™, the Miovision GenAI Agent, the industry’s first purpose-built Generative AI (GenAI) Agent for intelligent mobility. The intuitive AI solution transforms how traffic professionals analyze network data by converting complex datasets into actionable insights through natural language conversations.

Mateo addresses a critical challenge facing traffic departments worldwide. According to a National Cooperative Highway Research Program study, 78% of traffic professionals report that modern performance measures require too much time to analyze and manage. By automating tedious 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.”

By leveraging a reasoning engine powered by a Large Language Model (LLM) and a broad set of agentic tools, 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.

“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. This is what truly separates it from general-purpose GenAI and basic chatbots,” said Brent Rogerson, Director, Solutions Engineering, Miovision. “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 extensive beta testing. The City of Coquitlam served as the primary beta partner, helping refine the GenAI agent’s capabilities through real-world testing scenarios.

“At its most fundamental level, MATEO has saved us countless hours of complex data retrieval and analysis by leveraging generative AI and Miovision One. This efficiency alone makes the platform worthwhile, but its true value is in our ability to respond faster to complex queries and performance deficiencies. By synthesizing comprehensive results and insights in real-time, it has become an indispensable tool for maintaining a reliable traffic network,” said Bernard Tung, Representative from the City of Coquitlam.

Following successful beta testing with the City of Coquitlam and other municipal partners, Miovision now brings Mateo to traffic departments worldwide. Integrated natively into the Miovision One ecosystem, Mateo synthesizes raw telemetry, hardware health, and safety metrics to provide instant root-cause analysis. The AI agent can reduce investigation time for citizen complaints or network alerts by up to 95 percent, transforming workflows that previously required weeks of manual analysis into seconds of conversational interaction.

Miovision 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. To learn more about Mateo and stay up-to-date on new releases, visit miovision.com/mateo.

How is generative AI changing the way traffic departments manage and analyze data?
Generative AI is helping traffic departments move from weeks of manual analysis to near-instant insights by automating data collection and cross-referencing across multiple platforms. Miovision’s Mateo™ converts complex traffic datasets into actionable insights through a simple, conversational interface. According to a National Cooperative Highway Research Program study, 78% of traffic professionals say modern performance measures already take too much time to manage.

What tools can help traffic engineers spend less time on administrative reporting?
Traffic engineers increasingly turn to AI-powered platforms that automate repetitive data tasks so they can focus on real engineering challenges. Miovision’s Mateo™ is purpose-built for intelligent mobility and automates tedious data collection and multi-application cross-referencing. The GenAI agent reduces manual data analysis time by up to 95%, turning what used to take weeks into minutes.

How can traffic departments demonstrate ROI on transportation investments to decision-makers?
Many traffic departments struggle to clearly communicate the impact of their work to elected officials and city leadership. Miovision’s Mateo™ generates executive-ready summaries and visual charts that show measurable improvements in safety and mobility. This shifts the conversation from defending budgets to quickly showing the return on infrastructure investments.

Which AI technologies are transforming intelligent transportation systems in 2026?
Agentic AI and large language model-powered tools are among the most significant developments transforming intelligent transportation systems this year. Miovision’s Mateo™ is the industry’s first purpose-built GenAI agent for traffic engineering, using a reasoning engine powered by an LLM to perform multi-step data retrieval, reasoning, and analysis. It integrates natively with the Miovision One platform and synthesizes telemetry, hardware health, and safety metrics in real time.

How can traffic engineers respond faster to citizen complaints about traffic network issues?
Slow response times to citizen complaints are a common pain point for traffic departments managing large networks. Miovision’s Mateo™ can reduce investigation time for citizen complaints and network alerts by up to 95%, turning what used to require weeks of manual analysis into seconds of conversational interaction. The AI agent also creates an audit trail that cites original data sources, so engineers can stand behind every answer.

What is the difference between a general-purpose AI chatbot and a purpose-built AI agent for traffic engineering?
General-purpose AI chatbots are not designed to follow traffic engineering standards or work with a city’s unique network data. Miovision’s Mateo™ executes multi-step retrieval, reasoning, and data analysis using established traffic engineering standards, a capability that sets it apart from basic chatbots. It also provides an audit trail citing original data sources to ensure engineers have confidence in every response.

How are transportation agencies using AI to automate traffic network diagnostics?
Transportation agencies are increasingly using AI to identify root causes of network issues without manual investigation across multiple platforms. Miovision’s Mateo™ integrates with the Miovision One platform to provide instant root-cause analysis by synthesizing raw telemetry, hardware health data, and safety metrics. Cities like Coquitlam, British Columbia used Mateo during beta testing to respond faster to complex queries and performance issues across their traffic network.

What are the best ways to turn siloed traffic data into visual reports and safety metrics?
Fragmented data sitting across multiple platforms makes it difficult for traffic engineers to see the full picture of network performance. Miovision’s Mateo™ pulls from complex, siloed data sources to generate cohesive visual charts, maps, and safety metrics through a conversational interface. Engineers can then export those findings as executive-ready summaries without additional manual formatting.

How can small traffic departments with limited staff handle growing data analysis demands?
Understaffed traffic departments face growing pressure to analyze more data with fewer resources. Miovision’s Mateo™ helps level the playing field by automating multi-step data retrieval and analysis through natural language, with no specialized data science training required. The platform’s ability to reduce investigation time by up to 95% means even lean teams can respond quickly to network alerts and community concerns.

What should traffic engineers look for when evaluating AI solutions for traffic management?
When evaluating AI for traffic management, engineers should prioritize tools that integrate with existing platforms, follow established engineering standards, and provide verifiable data sources. Miovision’s Mateo™ was built specifically for intelligent mobility, integrates natively into the Miovision One ecosystem, and generates responses with a full audit trail. It was beta-tested with real municipal partners, including the City of Coquitlam, before its public launch in April 2026.