San Francisco

Cities like San Francisco—and urban areas around the world—face a growing challenge in managing the complex web of elements that make up the built environment. Streets, sidewalks, signage, streetlights, utility poles, and trees all require regular inspection and care. Over time, these components deteriorate due to age, weather, climate stress, and increasing use. Yet the condition of much of this infrastructure remains unknown or poorly documented, creating significant risks for safety, continuity of services, and quality of life.

Tree canopy loss, sidewalk cracks, unstable poles, and other unnoticed hazards can lead to property damage, public injury, business disruption, and in some cases, displacement. For many cities, particularly those with aging infrastructure and stretched resources, the cost of monitoring and maintaining these systems is high. Manual inspections are labour-intensive and time-consuming, often relying on small teams and outdated records.

This problem is especially acute in underserved neighbourhoods, where investment in infrastructure maintenance has historically been lower. As climate events become more frequent and extreme, the vulnerability of these areas increases. Without timely, accurate data on infrastructure condition, cities struggle to act preventatively resulting in higher emergency response costs and avoidable losses.

Taro AI is an automated system that helps cities monitor urban infrastructure, starting with trees and canopies. It allows for early detection of hazardous trees, preventing property damage and disruptions. By automating these processes, Taro AI reduces the need for manual inspections and lowers maintenance costs.

The tool is particularly impactful in underserved communities, where limited resources, aging infrastructure, and lower levels of tree canopy increase vulnerability to extreme heat events. These areas often face higher risks of heat-related illnesses and fatalities, especially among older adults and individuals with preexisting health conditions. By improving visibility into urban canopy health, Taro AI supports more equitable climate resilience.

The project builds on prior experience in urban heat mitigation and AI. Cynthia Wu, CEO of Taro AI, previously led the development of the Cool Roofs tool at Google Research, which helped cities reduce urban heat island effects using near-infrared imagery. CTO Nate Harada brings a decade of experience in machine learning and computer vision from roles at Waymo and Cruise. Taro AI was developed in response to gaps in infrastructure data and the inefficiency of manual inspections, using remote sensing and ground-level imagery to provide scalable, real-time monitoring.

In the past year, Taro AI has achieved significant recognition and traction through participation in several high-profile innovation and sustainability initiatives.

The company was selected as a Top Innovator by the World Economic Forum and as a winner in the Yes SF Urban Sustainability Challenge, emerging from a pool of over 140 companies.

This public-private partnership, aimed at revitalizing downtown San Francisco, awarded Taro AI a non-dilutive grant of $71,000, along with global visibility and access to early pilot partnerships with city departments.

Current pilots include collaboration with the nonprofit responsible for planting the majority of San Francisco’s urban trees, as well as pending partnerships with the Recreation and Parks Department and a major state university.

Media exposure resulting from these initiatives has been substantial. Press coverage included a segment on KTVU, which reached over 1.5 million views within a month, and a feature on the front page of the San Francisco Examiner. Video content produced for Yes SF has surpassed one million views, enhancing public awareness and stakeholder engagement.

Nationally, Taro AI was accepted into the Smart Futures Lab, a federally funded program supporting urban tech solutions in Colorado.

The initiative, in partnership with the University of Colorado and the Colorado Smart Cities Alliance, fosters collaboration between government and technology companies to address urban infrastructure needs.

Additionally, Taro AI was named a finalist in the OHUB x NOLA NETI Climate Tech Bootcamp, focused on equitable climate innovation in Southern Louisiana.

These combined efforts have expanded Taro AI’s influence, validated its approach, and positioned it as a leading solution provider in climate and infrastructure intelligence.