AI-powered sustainability intelligence for investors and corporates
Clarity AI applies machine learning to environmental and social data for institutional investors and enterprises. The stack—Python, SQL, Airflow, scikit-learn—reflects a data-science-first design, now adopting RAG for retrieval-augmented reasoning. Active hiring skews heavily toward engineering and data roles (37 of 48 roles), with senior-level dominance, pointing to infrastructure and ML platform scaling as the core execution lever.
Clarity AI delivers sustainability and ESG (environmental, social, governance) intelligence via AI analysis of environmental and social datasets. The platform serves investors managing portfolios, corporates conducting research and engagement, and governments navigating regulatory compliance. Built on Python, SQL, and Apache Airflow, the data platform ingests and processes sustainability signals for benchmarking, reporting, and decision-making. The company operates as a B2B SaaS model with presence across Europe (Spain, France, Germany, Portugal, Romania) and the United States.
Primary stack includes Python, SQL, Java, Salesforce, Apache Airflow, scikit-learn, and Pandas. The company is actively adopting retrieval-augmented generation (RAG) to enhance reasoning over sustainability datasets.
Core projects include a data platform for machine learning, EU taxonomy data infrastructure, a self-service development platform for technical teams, and SDR process optimization. Parallel focus on data ingestion reliability and scaling the data platform architecture.
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