Hayden AI Raises $20M in Series A Funding

Hayden AI Raises $20M in Series A Funding Hayden AIĀ is a San Francisco-based autonomous traffic management platform that raised $20 million through Series A financing. The round, which raised more than $30m, was facilitated by TYH Ventures with participation from Autotech Ventures, BootstrapLabs, and Modern Venture Partners. The company plans to use the funds to increase its global reach and speed up hiring across R&D cybersecurity, R&D, and customer service. It is led by Michael Byrne, Chris Carson, Vaibhav Ghadiok, and Bo Shen; Hayden AI combines mobile sensors and artificial intelligence to enable governments to bridge the gap between innovation and technology while making traffic flow safer and more efficient. The company works in partnership with federal agencies to implement its spatially aware technology and facilitates stakeholder participation via its digital platform that transforms the city's fleet of private and public vehicles into a fleet of smart sensors that can perform automated traffic control, through the combination of data collected from IoT sensors that the platform creates a digital representation of the main roads in the city as well as curbsides in real-time to generate scenarios and information that improves traffic management, such as curbside and parking management. In the future, Hayden AI will set its sights on autonomous vehicles to develop the traffic enforcement service. The company intends to integrate traffic rules for enforcement, like the location of bike lanes, bus lanes, and no stopping zones or no stand-by zones, into HD maps that are used by autonomous vehicles. Through a partnership with mapping companies, Hayden AI's policies layers semantically tagged with traffic enforcement regulations will be integrated into HD maps to help self-driving vehicles navigate. Autonomous vehicles can follow traffic laws while driving around cities without any human interference. For example, the car will be aware not to stop to take a passenger away from an intersection that is not a stop-and-go zone or that vehicles can drive in bus lanes at certain times.

Hayden AI is a San Francisco-based autonomous traffic management platform that raised $20 million through Series A financing.

The round, which raised more than $30m, was facilitated by TYH Ventures with participation from Autotech Ventures, BootstrapLabs, and Modern Venture Partners.

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Hayden AI Raises $20M in Series A Funding

The company plans to use the funds to increase its global reach and speed up hiring across R&D cybersecurity, R&D, and customer service.

It is led by Michael Byrne, Chris Carson, Vaibhav Ghadiok, and Bo Shen; Hayden AI combines mobile sensors and artificial intelligence to enable governments to bridge the gap between innovation and technology while making traffic flow safer and more efficient.

The company works in partnership with federal agencies to implement its spatially aware technology and facilitates stakeholder participation via its digital platform that transforms the city’s fleet of private and public vehicles into a fleet of smart sensors that can perform automated traffic control, through the combination of data collected from IoT sensors that the platform creates a digital representation of the main roads in the city as well as curbsides in real-time to generate scenarios and information that improves traffic management, such as curbside and parking management.

Also Read: Five9 and Zoom Make An Investment In AI Company Cresta

In the future, Hayden AI will set its sights on autonomous vehicles to develop the traffic enforcement service. The company intends to integrate traffic rules for enforcement, like the location of bike lanes, bus lanes, and no stopping zones or no stand-by zones, into HD maps that are used by autonomous vehicles. Through a partnership with mapping companies, Hayden AI’s policies layers semantically tagged with traffic enforcement regulations will be integrated into HD maps to help self-driving vehicles navigate.

Autonomous vehicles can follow traffic laws while driving around cities without any human interference. For example, the car will be aware not to stop to take a passenger away from an intersection that is not a stop-and-go zone or that vehicles can drive in bus lanes at certain times.

Chris Evan was born in Dubai and raised in Montreal. He studied Computer Science and was so pleased with computer languages. He began writing after obsessing over technology.

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