Participated · Series B · Nov 2025

Overstory builds an AI-driven grid-resilience platform that analyzes high-resolution satellite data to identify vegetation and infrastructure risks for electric utilities. Its software pinpoints tree-by-tree threats, helping utilities reduce outages, prevent wildfires, and optimize maintenance budgets. The company recently introduced the next generation of its Wildfire Intelligence product, featuring a proprietary Fuel Detection Model that locates the highest-risk fuels and recommends precise mitigation actions. Overstory reports that it now serves six of the ten largest utilities across the Americas. The team has grown to more than 80 employees representing 16 nationalities and spans machine learning, data science, arboriculture, and wildfire expertise. With new leadership from incoming COO Tamara Mendelsohn, the firm plans to accelerate AI risk-model development, broaden its wildfire-prevention suite, and expand its global footprint. Overstory maintains dual headquarters in Boston and Amsterdam.

Participated · Series B · Jun 2024

SewerAI’s PIONEER™ platform unifies field capture, cloud-based data management, AI-assisted NASSCO coding through AutoCode™, and AI-driven capital planning through Risk & Rehab™. The company reports its platform supports data from more than 2,000 cities, manages over 30,000 miles of pipe, and has completed more than 850,000 NASSCO surveys, while processing millions of feet of infrastructure data monthly. SewerAI’s customer base includes municipal utilities such as the City of Houston, the City of Phoenix, and KC Water, as well as engineering firms and contractors including HDR and PURIS. Recent product launches include Smart Project Builder and Risk & Rehab for manholes, and the company says it has built the industry’s largest infrastructure inspection dataset. Near-term plans focus on extending AI from inspection into rehabilitation planning and program management, expanding integrations with Esri ArcGIS, Trimble, and OpenGov, and improving workflows to help utilities meet regulatory and consent-decree obligations. The company emphasizes faster, more accurate inspection-to-decision workflows and continued investment in products and people following the new strategic investment.

Participated · Series A · Aug 2023

Niricson, founded in 2020 and based in Canada, digitizes critical infrastructure inspections using robotics, computer vision, acoustics, and machine learning. Its products AUTOSPEX™ and DRONIC™ provide multi-layered defect visualization and predictive maintenance insights for dams, bridges, runways, tunnels and other civil assets. The company serves more than 20 large customers globally, including utilities, governments, and engineering firms, helping them improve safety, decision-making, and maintenance programs. With the Series A funding, Niricson plans to expand its global footprint to make inspections safer, faster, and more efficient. It also intends to accelerate R&D to develop an AI-driven predictive analytics SaaS platform dedicated to managing critical infrastructure assets. The new capital is aimed at scaling operations, product development, and market deployment.