Benchmarking and valuation platform for energy storage, renewables, and electrification projects
Modo Energy builds a SaaS platform for project finance and energy infrastructure teams to evaluate renewable and storage assets. The tech stack blends a modern frontend (TypeScript, React, Next.js) with quantitative backend infrastructure (Python, NumPy, SciPy, scikit-learn, Apache Airflow), pointing to a product centered on data-driven forecasting and risk modeling. Current hiring spans sales, engineering, product, and customer success—with an emphasis on mid-market and enterprise pipeline development alongside platform terminal onboarding—suggesting a shift toward direct sales-led motion alongside product maturation.
Modo Energy provides a platform for energy and infrastructure professionals to benchmark, value, and model electrification projects across storage, renewables, flexible loads, and related assets. The product integrates historical data, forecast models, and research to support project finance diligence, investment decisions, and operational planning. Founded in 2019 and based in New York, the company operates at 51–200 employees and serves over 3,000 teams globally. Recent project work includes UI architectural evolution, customer success playbook development, and sales pipeline acceleration in the mid-market and enterprise segments.
Frontend: TypeScript, React, Next.js, Material-UI. Backend: Python, Django REST Framework, NumPy, Pandas, SciPy, scikit-learn. Infrastructure: AWS, Docker, Terraform, Apache Airflow. Operations: HubSpot, Salesforce, Gong, Outreach, Intercom, Gainsight.
51–200 employees. The company was founded in 2019 and is based in New York.
Modo Energy - USA'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.