Energy asset benchmarking and valuation platform for project finance and infrastructure teams
Modo Energy operates a SaaS platform for energy professionals evaluating renewables, storage, and flexibility assets. The stack—TypeScript, React, Next.js, Python, FastAPI, Apache Airflow, AWS—reflects a product engineering organization; hiring is balanced across engineering, sales, and customer success, with accelerating velocity. Active projects cluster heavily around UI performance and architectural refinement (monorepo, component libraries, low-latency optimization), suggesting the platform handles data-dense workflows where interface responsiveness directly impacts user workflows.
Modo Energy provides benchmarking and valuation tools for energy and infrastructure teams evaluating electrification assets across renewables, storage, and flexible loads. The platform serves project finance, investment diligence, and operational strategy use cases. Users—reported to number over 3,000 teams globally—rely on the product to model risk, compare performance, and forecast outcomes in the energy transition space. The company was founded in 2019 and is based in London, with 51–200 employees.
Frontend: TypeScript, React, Next.js, Material-UI, Jest, Cypress, Playwright. Backend: Python, FastAPI, Django REST Framework. Data: Apache Airflow, NumPy, Pandas, SciPy, scikit-learn, LangChain. Infrastructure: AWS, Docker, Terraform. CRM: Salesforce, HubSpot.
London, England. The company actively hires in the United Kingdom and United States.
Modo Energy'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.