AI-powered energy marketplace infrastructure for transparent, cost-optimized electricity transactions
tem operates a modern energy utility platform (RED) serving over 4,000 UK customers with AI-driven pricing and transaction infrastructure. The stack—AWS, Python, Node.js, DynamoDB, React, plus analytics tools (dbt, Tableau, Looker)—supports real-time pricing workflows and a matching system, revealing an engineering-forward approach to automating energy transactions. Hiring spans marketing, sales, and data functions alongside core engineering, indicating a scaling sales-led motion paired with internal pricing and analytics complexity.
Notable leadership hires: Chief of Staff
tem builds transaction infrastructure and a consumer utility platform for the energy market. The RED offering targets UK households with transparent pricing (claimed 30% cheaper than incumbent suppliers) and simplified energy purchasing. The platform layers a real-time pricing engine, customer-facing portals, and broker tools on top of AWS cloud infrastructure. The company addresses structural market inefficiencies—opaque pricing, excessive markups, and fragmented wholesale flows—by centralizing pricing logic and reducing intermediaries. Operations span 51–200 employees across engineering, data, sales, marketing, and finance functions.
tem uses AWS (Lambda, API Gateway, DynamoDB), Python, Node.js, React frontend, dbt for transformation, Tableau and Looker for analytics, and HubSpot for CRM. SQL and Excel handle data workflows.
tem powers over 4,000 UK customers on its RED platform as of the most recent data.
Active projects include real-time pricing workflows, a p442 matching system, RED score logic, pricing and allocation engines (Rosso), self-serve customer tools, broker-facing portals, and internal developer platform foundations.
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