AI-powered ESG intelligence and compliance platform for enterprise risk
Datamaran delivers AI-driven ESG monitoring and governance to C-suite leaders navigating regulatory complexity and sustainability transformation. The stack—Python, FastAPI, Kubernetes on AWS, plus Salesforce and HubSpot—reflects a data-heavy, backend-focused architecture. Active hiring across sales, product, and data, concentrated in mid-level roles, suggests scaling both customer acquisition and platform maturity. The pain-point mix (regulatory complexity, data integrity, monolith migration, observability gaps, renewal pipeline) indicates a maturing product moving from manual workflows toward automated, scalable governance workflows.
Datamaran is a London-based AI platform for ESG (Environmental, Social, Governance) intelligence, founded in 2014. The company helps enterprise business leaders and C-suite executives transform raw sustainability and regulatory information into actionable insights, enabling real-time risk monitoring and data-driven ESG strategy. The platform targets large organizations seeking to shift ESG from compliance exercises into governance-centric initiatives. Core activities include ESG governance platform development, data quality improvements, workflow automation, and customer engagement through community events and case studies. The 51–200 person team operates across the UK, Spain, and Netherlands.
Python, FastAPI, Kubernetes, Docker, AWS, Salesforce, HubSpot, Jira, ClickUp, Harbor, Gong, and LinkedIn Sales Navigator.
ESG governance platform development, data quality improvements, scalable automation and workflow tools, database strategy expansion, design dashboards and forecasting frameworks, and monolith migration to modern architecture.
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