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Neurons Lab Tech Stack

AWS-native AI consultancy for enterprise transformation and GenAI deployment

IT Services and IT Consulting London, England 201–500 employees Founded 2019 Privately Held

Neurons Lab is an AWS Advanced Partner delivering AI transformation across the full stack—from strategy through production. Their tech foundation is heavily AWS-centric (Bedrock, SageMaker, Lambda, Comprehend) with supporting layers in LangChain, LlamaIndex, and Databricks, now actively adopting Terraform for infrastructure-as-code at scale. The project mix (banking data lakes, AWS Well-Architected reviews, MLOps telemetry, AI agents for FSI) and pain-point focus on compliance capture and GenAI endpoint uptime reveals a consultancy oriented toward financial-services clients navigating high-stakes regulatory environments rather than consumer tech.

Tech Stack 42 technologies

Core StackAWS SageMaker AWS Lambda LangChain Weights & Biases Databricks Snowflake CloudWatch Terraform Kubernetes Docker Helm Python FastAPI Vertex AI GitHub Actions AWS Well-Architected AWS Bedrock AWS Comprehend AWS Connect Claude LlamaIndex SageMaker Experiments AWS CloudWatch Azure GCP Codacy Bedrock Cloud Build IAM+12 more
AdoptingAWS Terraform

What Neurons Lab Is Building

Challenges

  • High funding success rate
  • Building technical capacity for custom llm solutions
  • Meeting fsi compliance requirements
  • High-stakes compliance-heavy environments
  • Maintaining high uptime for genai endpoints
  • Automating internal engineering routines
  • Compliance evidence capture
  • Maintaining high customer satisfaction
  • Securing aws partnership
  • Automating workflows with ai agents

Active Projects

  • Production infrastructure with aws cdk and terraform
  • Banking data lake
  • Aws well-architected reviews
  • Reusable iac patterns for genai
  • Self‑sustaining ai‑native engineering function
  • Ai agents for banking, insurance, and asset management customer support
  • Mlops telemetry stack
  • Automate internal engineering routines
  • Fsi-specific value propositions
  • Python fastapi backends and mlops automation

Hiring Activity

Decelerating150 roles · 25 in 30d

Department

Engineering
78
Sales
23
Data
10
Ops
8
Product
3

Seniority

Senior
59
Lead
36
Mid
12
Manager
11
Director
3
VP
1

Notable leadership hires: Cloud Lead, Cloud Head, Head of Cloud

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About Neurons Lab

Neurons Lab delivers enterprise AI transformation and implementation services, positioning itself as a guided pathway into production GenAI and ML systems. Founded in 2019 and based in London, the firm operates across 25+ countries with a senior-weighted engineering and data workforce, indicating a services model built on specialized delivery rather than high-volume staffing. The company has worked with over 100 clients spanning Fortune 500 and government organizations. Their expertise spans AI strategy, cloud infrastructure (primarily AWS), data engineering, MLOps, and domain-specific solutions for financial services, insurance, and asset management—sectors where compliance and uptime requirements are non-negotiable.

HeadquartersLondon, England
Company Size201–500 employees
Founded2019
Hiring MarketsPoland, United Kingdom, Romania, Vietnam, Italy, Thailand, Hungary, Lithuania

Frequently Asked Questions

What is Neurons Lab's tech stack?

AWS-centric: Bedrock, SageMaker, Lambda, Comprehend, CloudWatch. Complementary: LangChain, LlamaIndex, Databricks, Snowflake, Kubernetes, Terraform, Python, FastAPI. Also integrated: Azure, GCP, GitHub Actions.

Does Neurons Lab hire engineers?

Yes. 78 active engineering roles across 25+ countries (Poland, UK, Romania, Vietnam, Italy, Thailand, Hungary, Lithuania, Moldova, Singapore, Spain, Serbia, Czechia, Bulgaria, Cyprus, Malaysia, Albania, Indonesia, Portugal, Greece, Philippines, Armenia, Estonia, North Macedonia, Georgia). Majority senior-level.

What is Neurons Lab working on?

Banking data lakes, AWS Well-Architected reviews, reusable IaC patterns for GenAI, MLOps telemetry stacks, AI agents for FSI customer support, and self-sustaining AI-native engineering functions. Focus on compliance-heavy, high-uptime production environments.

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