End-to-end transformation consulting with data, AI, and technology focus
Transform is a mid-sized UK consulting firm built around data and AI delivery. The tech stack reveals a mature data engineering operation—Databricks, Airflow, Snowflake, and Azure platform services dominate—paired with machine learning and LLM tooling (PyTorch, scikit-learn, LangChain). Current hiring is almost entirely senior data roles, and active projects cluster tightly around single customer views, data lakes, and LLM applications, suggesting they're scaling delivery capacity in these high-margin domains rather than broadening service lines.
Transform, founded in 2010 and based in London, operates as an alternative to large consulting firms, positioning itself around full-cycle transformation delivery: strategy, data, AI, technology, and change management. The firm specializes in public sector, utilities, energy, transportation, and healthcare. In 2024, Transform acquired Cadence Innova, expanding capability. The company runs a 201–500 person operation with engineering and data expertise embedded alongside strategy and design practices.
Databricks, Azure Data Factory, Snowflake, Palantir Foundry, Apache Airflow, PyTorch, LangChain, and cloud platforms (Azure, AWS, GCP). Data pipeline and ML-heavy.
Single customer view implementations, data lake construction, ML model deployment for classification, LLM application development with RAG and graph pipelines, and document ingestion systems.
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Transform's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.