AI consultancy delivering agentic systems and LLM integration for enterprises
Elsewhen is a London-based digital and AI consultancy founded in 2011, now building agentic LLM solutions and vector-search data pipelines on Python, FastAPI, and GCP. The tech stack (LangGraph, LlamaIndex, RAG) and project list reveal a shift from traditional strategy consulting toward production AI systems—specifically multi-agent architectures and LLM integration into client products. Leadership-tier hiring (7 senior, 4 director, 2 principal roles in 30 days) suggests rapid scaling of technical depth to move clients from pilots to revenue-generating AI deployments.
Notable leadership hires: Technology Director
Elsewhen helps enterprise clients in financial services, insurance, ecommerce, and public sector integrate AI and agentic systems into their operations. The consultancy combines strategy, design, transformation, and engineering to deliver outcomes across digital transformation and AI productivity platforms. Operating from London with 51–200 employees, the company serves FTSE 100 and S&P 500 organisations and is expanding its public sector practice under the G-Cloud 14 framework. Core challenges centre on deepening value per account, improving margins, and scaling LLM adoption across client portfolios.
Python, FastAPI, Flask, LangGraph, LlamaIndex, RAG, Google Cloud Platform, Cloud Run, SQL, and Excel. Currently adopting Google AI.
Agentic LLM solutions, multi-agent architectures, vector-search data pipelines for knowledge retrieval, LLM integration into existing products, and expansion of public sector capabilities under G-Cloud 14.
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