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Modo Energy Tech Stack
Energy asset benchmarking and valuation platform for project finance and operations
Modo Energy builds a data-intensive benchmarking platform for energy infrastructure teams, combining Python/NumPy/Pandas for backend analytics with a modern TypeScript/React frontend (Next.js). The tech stack reveals an AI-forward engineering culture—LangChain and Claude in production—alongside heavy lifting on data pipelines and forecasting. Active hiring is sales-led (6 roles) with strong data (5) and engineering (4) representation, and the project list (agentic backend, forecast/benchmarking, dispatch models) shows they are scaling toward automation and real-time decision support while managing the core pain of handling large, complex datasets.
Tech Stack 39 technologies
Core StackHubSpot Python NumPy Pandas scikit-learn AWS Intercom Gainsight Salesforce TypeScript React Next.js JavaScript Docker Jest Cypress Playwright FastAPI LangChain Terraform Cursor GitHub Copilot SciPy Material-UI Turborepo Yarn Git Claude OpenAPI Django REST Framework+6 more
What Modo Energy Is Building
◆Challenges
- Scaling globally
- Heavy data loads
- Expanding product accuracy
- Handling large complex datasets
- Customer onboarding challenges
- Low feature adoption
- Expanding sales footprint in spain
- Scalable sales process implementation
- Converting awareness into revenue
- Scalable codebase
▲Active Projects
- Integration into modo energy terminal
- Agentic backend development
- Forecast and benchmarking products
- Power market and dispatch models
- Monitoring and evaluation infrastructure
- Improve best practice tactics
- Software suite integration
- Onboarding new accounts onto modo energy terminal
- Driving feature adoption and user activation
- Managing product queries
Hiring Activity
15 roles · 15 in 30d
Department
Seniority
Company intelligence
