Enterprise AI transformation and deployment services
Neurons Lab operates as an AI services consultancy built on cloud infrastructure (AWS, Azure, GCP) with deep genAI tooling (Bedrock, LangChain, LlamaIndex, SageMaker). The tech stack reveals a services-first engineering org: heavy emphasis on LLM orchestration and prompt-engineering frameworks rather than proprietary IP, paired with observability and ML ops tooling (Weights & Biases, CloudWatch, Terraform). Hiring is senior-skewed (39 of 44 open roles) across 20+ European countries, suggesting scaling service delivery capacity globally while maintaining high-touch consulting quality.
Neurons Lab is an AI transformation consultancy founded in 2019, headquartered in London. The company serves enterprise clients (including Fortune 500 and government organizations) on AI strategy, systems architecture, and deployment. Core service areas span GenAI integration, LLM customization, machine learning ops, and AI safety/compliance frameworks—particularly for financial services. With AWS Advanced Partner status and GenAI competency accreditation, the company operates across generative AI, computer vision, NLP, and cloud infrastructure. Active pain points center on scaling delivery capacity for custom LLM work, managing FSI compliance requirements, and measuring transformation ROI.
AWS (primary, including Bedrock, SageMaker, Lambda, Comprehend), Azure, and GCP. All three major clouds are in active use across projects.
Yes—Midjourney, Runway, Adobe Firefly for content generation; AWS Bedrock, LangChain, and LlamaIndex for LLM orchestration and custom solutions.
20+ European countries: Latvia, Albania, Georgia, Italy, Estonia, Moldova, Czechia, Poland, Portugal, Romania, Serbia, Hungary, Bulgaria, Greece, Cyprus, Lithuania, Ukraine, North Macedonia, Spain, and Slovenia.
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.