AI consultancy building GenAI, agent and knowledge-graph solutions on AWS
Neurons Lab is a London-based AI consultancy whose stack centers on AWS Bedrock, SageMaker, LangChain, LlamaIndex and AutoGen, with Neo4j and RDF/OWL pointing to knowledge-graph-grounded LLM work. It is newly adopting Langfuse for LLM observability. Hiring is accelerating and senior-heavy across product, data, engineering and security, with an AI-driven offensive security pipeline emerging alongside packaged financial-services offerings.
Notable leadership hires: Chief Operating Officer
Neurons Lab is a privately held AI consultancy founded in 2019 and headquartered in London, with 51–200 employees. It delivers AI transformation work for enterprises and public-sector organizations, spanning generative AI, machine learning, computer vision, NLP and advanced analytics. The company is an AWS Advanced Partner with a GenAI competency and also works across Azure, GCP, Databricks and Snowflake. Financial services is a named specialty, and its distributed team hires across much of Europe, including Poland, Ukraine, Portugal, Spain, Germany and the Baltics.
Neurons Lab works with AWS Bedrock, SageMaker, Lambda, LangChain, LlamaIndex, AutoGen, Neo4j, pgvector, Pinecone, OpenSearch, Databricks, Snowflake, Python, TypeScript and Apache Airflow, and is adopting Langfuse.
Neurons Lab hires across Europe, including Poland, Ukraine, Malta, Portugal, Spain, Germany, Italy, Greece, Romania, Bulgaria, Estonia, Latvia, Lithuania, Serbia and Georgia.
Current work includes a packaged BFSI solution portfolio, reference architectures, a real-time voice copilot, AI-driven exploitation agent benchmarking and knowledge graph integrations for financial AI accuracy.
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Neurons Lab'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.