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greenventory Tech Stack
Digital twin platform for municipal energy system planning
greenventory builds software for city-level energy infrastructure planning, combining geospatial data, simulation models, and AI to support the transition away from fossil fuels. The stack is Python-heavy (FastAPI, Flask, Django) with a React Native mobile layer and recent OpenAI API adoption—typical for a data + simulation-driven product. Hiring velocity is accelerating across sales, data, and engineering roles, but test infrastructure gaps (unreliable suite, expanding coverage) suggest the platform is outpacing QA maturity as customer adoption scales.
Tech Stack 12 technologies
Core StackJavaScript TypeScript Figma Python Kotlin Java React Native FastAPI Flask Django OpenAI API
What greenventory Is Building
◆Challenges
- Urban energy transition challenges
- Optimizing automated test suite
- Expanding test coverage
- Adapting to climate change and geopolitical uncertainty
- Acquiring renewable energy projects
- Supporting many customers in energy transition
- Expanding sales in the energy sector
- Heat planning for german cities
- Data-driven energy planning for cities
- Unreliable test suite
▲Active Projects
- Data analysis and preparation for energy planning
- Maintain existing automated test suite
- Develop automated tests for critical features
- Simulation model for urban energy planning
- Implementing sustainable energy concepts in districts
- Developing new participation and communication forms
- Renewable energy project acquisition
- Geo data processing for energy planning
- Quality assurance of calculated results
- Customer training on software platform
Hiring Activity
15 roles · 8 in 30d
Department
Seniority
Company intelligence
