Streem Energy operates a data-heavy SaaS layer for renewable asset owners and operators, built on Python + PostgreSQL + InfluxDB + React, serving 95+ clients across wind and solar portfolios. The tech stack shape (time-series database + forecasting focus) and active project list (wind/solar production forecasting, revenue anomaly detection, pricing models) reveal a company solving for portfolio optimization and data reconciliation—not just dashboarding. Hiring is accelerating across engineering, product, and ops, with a cluster of rapid-prototyping and internal-automation projects suggesting the platform is still maturing its operational backbone.
Streem Energy builds a SaaS platform for renewable energy asset managers, owners, and power buyers to collect production data, automate reporting workflows, and forecast revenue across wind and solar portfolios. The platform handles data ingestion from distributed renewable assets, applies forecasting models to predict generation and revenue, and facilitates data sharing with off-takers, aggregators, and grid operators. The company is headquartered in Paris and operates as a small, engineering-driven team focused on expanding beyond Europe and improving renewable portfolio profitability through better visibility and automation.
Core stack includes Python, PostgreSQL, MySQL, InfluxDB (time-series), AWS, Docker, React, and Next.js. The heavy emphasis on time-series databases and Python reflects their focus on production forecasting and anomaly detection for renewable assets.
Current projects include wind and solar production forecasting, revenue anomaly detection, pricing models, automating data processing and reporting, and scaling the platform across multiple countries. Internal focus is on rapid prototyping tools and operational automation.
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