Neurons Lab
Editor's pick #1Boutique AI engineering partner with one of the world's few AWS Advanced ML Consulting Competencies.
Founded 2019 | London, United Kingdom | 51–200 employees
ml-developmentllm-genaiai-consultingmlops
What is Neurons Lab?
Neurons Lab is a London-based AI engineering consultancy co-founded in 2019 by Igor Sydorenko and Alex Honchar. The firm is one of roughly 18 companies globally to hold AWS's Advanced Machine Learning Consulting Competence, and concentrates on production-grade AI systems for financial services and other regulated industries. It stays deliberately small and specialist rather than pursuing broad IT-services scale.
Neurons Lab was founded in 2019 and is headquartered in London, United Kingdom. The firm employs 51–200 people and works primarily with clients in Financial Services, Healthcare, Insurance, Technology/SaaS sectors. Its primary differentiator is: One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence.
Neurons Lab tech stack and services
PythonPyTorchTensorFlowAWS SageMakerLangChainKubernetes
| Service area |
|---|
| Custom ML Development |
| LLM & Generative AI |
| AI Consulting |
| MLOps |
Neurons Lab use cases
Short answer: Neurons Lab is best suited for regulated finance firms, PoC-to-production ML delivery.
| Use case |
|---|
| Building a production fraud-detection or credit-risk model for a bank or fintech |
| Standing up an AI governance framework alongside a specific ML deployment |
| Augmenting an in-house data science team with AWS-certified ML engineers for a single high-stakes project |
Neurons Lab pricing
Short answer: Neurons Lab uses a fixed-scope engagements and dedicated team retainers pricing approach. Minimum engagement starts at $30K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $30K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Neurons Lab does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Neurons Lab pros and cons
| Advantages | Things to consider |
|---|---|
| +Rare AWS Advanced ML Consulting Competence signals deep, externally-audited technical depth | -51–200 headcount limits capacity for very large, multi-workstream enterprise programs |
| +Small senior team means direct access to founders and lead engineers on most engagements | -Narrower geographic delivery footprint than the large multinational IT firms on this list |
| +Strong specialization in regulated-industry AI deployment, including model governance | -Premium specialist pricing relative to offshore-heavy competitors |
| +Publishes technical case studies with measurable outcomes rather than generic marketing claims |
Neurons Lab vs alternatives
How Neurons Lab compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market companies, full-stack ML plus agentic AI. | full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers, AI bundled with cloud... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, SaaS — specialist data-science boutique. | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | EU SMBs, research-grade ML at accessible pricing. | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | GPU-heavy deep learning, NVIDIA-partnered lab. | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies, AI/ML plus IoT/edge deployment. | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare and BFSI enterprises, AI within product engineering. | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Financial-services enterprises, cloud-native AI at scale. | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises, publicly-listed AI/analytics partner. | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, industrials — vertical-focused data science at... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises, data-engineering-first ML delivery. | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting BI delivery with ML layered in. | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Existing Indium QA clients adding AI/ML. | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level transparency, AI at scale. | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises, AI from their existing IT... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | Largest global enterprises, AI within a massive engineering... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting an established AI/ML, cloud, and IoT... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Fortune 500 clients, European-HQ dedicated ML/AI line. | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Finance, media, healthcare enterprises — established global AI... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises, AI/ML plus custom software, one vendor. | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML within full-cycle software development. | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML from a top-ranked outsourcing firm. | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises, end-to-end model design through MLOps. | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, fitness companies — proven mid-size AI... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies building conversational AI and chatbot products. | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML from an established IT generalist. | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI app development, brand-name client history. | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies, affordable AI/ML add-on. | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | SMBs wanting an accessible generative-AI specialist. | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI, now KMS-backed. | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML plus IoT, Avnet-backed. | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
Neurons Lab FAQ
What is Neurons Lab?
Neurons Lab is a London-based AI engineering consultancy co-founded in 2019 by Igor Sydorenko and Alex Honchar. The firm is one of roughly 18 companies globally to hold AWS's Advanced Machine Learning Consulting Competence, and concentrates on production-grade AI systems for financial services and other regulated industries. It stays deliberately small and specialist rather than pursuing broad IT-services scale.
How much does Neurons Lab charge?
Neurons Lab uses fixed-scope engagements and dedicated team retainers pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does Neurons Lab use?
Neurons Lab works with Python, PyTorch, TensorFlow, AWS SageMaker, LangChain, Kubernetes. Primary industries served include Financial Services, Healthcare, Insurance, Technology/SaaS.
Is Neurons Lab right for enterprise?
Regulated finance firms, PoC-to-production ML delivery. 51–200 team size. Key consideration: 51–200 headcount limits capacity for very large, multi-workstream enterprise programs.
What are the best Neurons Lab alternatives?
The best alternatives to Neurons Lab depend on your use case. Top options are:
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
- InData Labs: dedicated in-house r&d center focused specifically on data science and ai rather than broad software outsourcing.
Compare Neurons Lab with other Machine Learning Development agencies
Neurons Lab vs Tensorway Neurons Lab vs Provectus Neurons Lab vs InData Labs Neurons Lab vs AI Superior Neurons Lab vs Data Monsters Neurons Lab vs ITRex Group Neurons Lab vs Ideas2IT Neurons Lab vs Quantiphi Neurons Lab vs Fractal Analytics Neurons Lab vs Tredence Neurons Lab vs Sigmoid Neurons Lab vs LatentView Analytics Neurons Lab vs Indium Software Neurons Lab vs Grid Dynamics Neurons Lab vs Persistent Systems Neurons Lab vs EPAM Systems Neurons Lab vs SoftServe Neurons Lab vs N-iX Neurons Lab vs DataArt Neurons Lab vs Andersen Neurons Lab vs Innowise Group Neurons Lab vs Sigma Software Group Neurons Lab vs Exadel Neurons Lab vs MobiDev Neurons Lab vs Master of Code Global Neurons Lab vs ScienceSoft Neurons Lab vs Intellectsoft Neurons Lab vs Belitsoft Neurons Lab vs Neoteric Neurons Lab vs Addepto Neurons Lab vs Softweb Solutions