Data and software platform for clean energy trading and portfolio management
REsurety operates a transactional marketplace for clean power alongside data and modeling infrastructure serving buyers, sellers, and investors. The stack—Python, Pandas, scikit-learn, TensorFlow, PyTorch on Snowflake and PostgreSQL—reflects a data science and ML-heavy operation. Active hiring in data roles with senior and staff-level positions, combined with projects spanning power price models, weather-smart data integration, and production transitions, signals aggressive scaling of forecasting and modeling platforms to address core pain points around model accuracy under regulatory flux and integrating high-impact data inputs.
REsurety provides data, software, and transactional services to the clean energy economy. The company operates a marketplace for clean power transactions and builds proprietary data models and analytics platforms used by energy buyers, sellers, and investors for portfolio management and decision-making. Founded in 2012 and based in Boston, REsurety serves a sector-specific buyer base navigating energy pricing, renewable energy credits (RECs), and virtual power purchase agreements (vPPAs). The technical core spans machine learning, statistical modeling, and cloud-scale data infrastructure; current work focuses on expanding and operationalizing power price models, integrating weather and regulatory data, and transitioning research-stage work into production systems.
Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Snowflake, PostgreSQL, AWS, GCP, Azure, Docker, Jenkins, and Datadog. The stack emphasizes data science and ML tooling deployed on multi-cloud infrastructure.
Boston, Massachusetts. The company is privately held, founded in 2012, and currently operates with 51–200 employees.
REsurety's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.