AI operating system for utilities, water, and telecom infrastructure
Kraken builds an end-to-end operating system for utilities, water, and telecom operators. The stack reveals a modern, API-first architecture (GraphQL, Django REST, React, PostgreSQL) paired with data-heavy operations: they're building ML pipelines for consumption prediction and meter-reading processing at scale, now adopting tax compliance tools (Avalara, Vertex) to support international expansion. Engineering dominance in hiring (76 roles) alongside data and product signals a platform in active transformation—both their own re-architecture for water/broadband and their customers' operational overhauls.
Notable leadership hires: Data & Analytics Lead, Head of Product, Program Lead, Client Implementation Lead, Implementation Lead
Kraken operates a software platform designed for energy utilities, water companies, and telecom providers. The product addresses core operational challenges: customer experience, revenue innovation, and cost reduction through automation and AI. The company serves mid-market and enterprise operators across multiple geographies (Japan, UK, Australia, Spain, US, Netherlands, France, Switzerland, Germany, New Zealand). Active projects include meter-reading pipelines handling tens of millions of data points, ML-driven consumption forecasting, and platform re-architecture to support water and broadband verticals. The business is private, London-based, and employs 1,001–5,000 people.
Backend: Python, Django, PostgreSQL, Celery. Frontend: React, TypeScript, Styled Components. Infrastructure: AWS, Terraform, CircleCI, Datadog. APIs: GraphQL, Django REST Framework. Adopting: Avalara and Vertex for tax/compliance.
ML consumption prediction and meter-reading pipelines (processing tens of millions of readings), platform re-architecture for water and broadband, customer migration automation, design system work, quoting systems, and operational transformation tooling for utilities operators.
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