AI vegetation intelligence for utility grid resilience and outage prevention
Overstory applies satellite imagery and machine learning to help utilities predict and prevent vegetation-related grid failures. The stack (GCP, Python, FastAPI, PostgreSQL, Kubernetes) reflects a data-heavy ML operation, while the project list reveals a company scaling rapidly—infrastructure cost visibility, observability advancement, and product scaling for 3x YoY growth dominate current work. Engineering-led hiring (86 of 100 open roles) combined with acute pain around manual data ingestion suggests Overstory is transitioning from rule-based systems toward automated, ML-driven vegetation risk assessment at scale.
Notable leadership hires: Chief Technology Officer
Overstory combines satellite data and deep learning to deliver vegetation intelligence to electric utilities. The product helps grid operators identify critical vegetation risks, prevent outages, and reduce wildfire exposure. The company operates in the United States and is expanding hiring across North America and Europe, with a team of 51–200 people based in Somerville, Massachusetts. Core infrastructure runs on Google Cloud Platform with Python microservices (FastAPI) backed by PostgreSQL and Kubernetes. Active projects span cloud infrastructure redesign, internal risk-management tooling, observability, and product scaling—all driven by accelerating customer adoption.
GCP, Python, FastAPI, PostgreSQL, Kubernetes, React, TypeScript, HubSpot, Cloud Run, and Grafana. The stack emphasizes cloud-native infrastructure and Python for data processing and ML workloads.
Somerville, Massachusetts. The company is actively hiring across the United States, Canada, and six European countries: Sweden, Denmark, Ireland, Switzerland, Portugal, Netherlands, France, and Estonia.
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