Conquer AI builds AI-native products and agentic systems for enterprise clients across FTSE 100, FTSE 250, and Fortune 500 firms. The stack—Python, LangChain, LangGraph, Pinecone, pgvector, RAG—reveals a company executing on LLM applications and vector retrieval at scale. Engineering-heavy hiring (8 of 11 roles) skewed toward senior and lead levels signals rapid project delivery scaling rather than foundational team-building.
Conquer AI, founded in 2022 and based in London, builds AI-native products and agentic workflows designed to transform enterprise operations. The company works with large organizations across the UK, US, South America, and Europe to automate complex business processes, reduce operational costs, and unlock new revenue streams. Their platform integrates LLM-powered applications, document extraction, data cleaning, and agentic automation into customer workflows. The core challenge they solve is translating messy, manual enterprise processes into production-grade AI systems; their active project portfolio reflects this: agentic workflows, document classification, vector retrieval pipelines, and workflow analysis tools.
Python, Node.js, TypeScript, LangChain, LangGraph, Pinecone, pgvector, RAG, Kafka, Docker, Kubernetes, Azure, Salesforce, Power BI, Tableau, and Looker.
Agentic AI workflows, LLM-powered applications, document extraction, vector database architecture, AI workflow automation, and dashboards for enterprise clients.
Conquer AI'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.