Neurons Lab vs Yalantis: full comparison for 2026
Last updated: July 2026
Quick verdict
Neurons Lab (4.9/5) edges ahead of Yalantis (4.0/5) overall. Neurons Lab is the better choice for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool.. Yalantis is the stronger option for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. The right choice depends on your project size, budget, and required tech stack.
Neurons Lab vs Yalantis: head-to-head summary
| Criterion | Neurons Lab | Yalantis |
|---|---|---|
| Founded | 2019 | 2008 |
| HQ | London, United Kingdom | Larnaca, Cyprus |
| Team size | 51–200 | 500+ |
| Rating | 4.9 / 5 | 4.0 / 5 |
| Best for | Enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool. | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. |
| Pricing model | Time & materials, fixed-scope advisory sprints | Fixed project, dedicated team |
| Min. engagement | Not published | $10,000 |
| Primary tech stack | PyTorch, Hugging Face, LangChain | AWS SageMaker, Azure ML, Google Cloud Vertex AI |
| Industries served | FinTech, Healthcare, Manufacturing, Media & Entertainment, Insurance | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain |
Neurons Lab vs Yalantis: overview
Neurons Lab
Neurons Lab is an AI consultancy co-founded in 2019 by Igor Sydorenko and Alex Honchar, headquartered in London. The firm runs end-to-end engagements — from identifying high-impact AI applications through integration and scaling — and reports more than one hundred AI implementations since founding, including work for Fortune 500 firms (per company website; independently unverifiable). Its small, senior-heavy team structure keeps engagements tightly scoped rather than staffed with junior benches.
Yalantis
Yalantis was founded in 2008 with headquarters in Larnaca, Cyprus and development hubs in Dnipro, Kyiv, and Lviv, Ukraine, growing to roughly 500 specialists. The firm positions itself as a 'compliance-first engineering partner,' building high-performance ML models across Amazon, Microsoft Azure, and Google Cloud ML platforms, including data preparation, model selection, training, deployment, and multimodal LLM processing for visual and text data. Project costs are reported to range from $10,000 to over $800,000, indicating the firm handles both small scoped projects and large enterprise programs.
Services and capabilities: Neurons Lab vs Yalantis
| Capability | Neurons Lab | Yalantis |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Neurons Lab vs Yalantis
| Framework / platform | Neurons Lab | Yalantis |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Neurons Lab vs Yalantis
| Criterion | Neurons Lab | Yalantis |
|---|---|---|
| Minimum engagement | Not published | $10,000 |
| Engagement models | Fixed-scope advisory, Dedicated team, Retainer | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Neurons Lab vs Yalantis
| Dimension | Neurons Lab | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Manufacturing | Healthcare, IoT & Embedded Systems, FinTech |
| Best use cases | Enterprise wants an outside technical opinion before committing budget to an AI initiative., Mid-market company needs a senior AI team to take a use case from prototype to production. | Healthcare or IoT company needs ML development from a compliance-first engineering partner., Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. |
| Typical project type | Fixed-scope advisory | Fixed project |
Neurons Lab vs Yalantis: pros and cons
| Neurons Lab | |
|---|---|
| + | Founders are practicing ML engineers (CTO is a published deep learning author), so scoping conversations are technically grounded. |
| + | Small team size means senior staff stay on the engagement instead of rotating off after the pitch. |
| + | Track record spans over 100 AI implementations across regulated and non-regulated sectors since 2019. |
| + | Advisory-first model reduces the risk of over-building before validating an AI use case. |
| - | 51–200 headcount caps how many concurrent enterprise engagements the firm can run. |
| - | No public case study library with quantified before/after metrics — most proof points are narrative. |
| - | Not a fit for teams that need large-scale staff augmentation rather than a scoped advisory engagement. |
| Yalantis | |
|---|---|
| + | Compliance-first positioning is a genuine differentiator for regulated industries like healthcare and embedded/IoT systems. |
| + | Multi-cloud ML delivery capability (AWS, Azure, GCP) avoids vendor lock-in to a single hyperscaler. |
| + | Wide project-cost range ($10,000–$800,000+) means the firm can serve both small scoped projects and large programs without switching vendors. |
| + | 500+ specialists across three Ukrainian development hubs provides meaningful delivery redundancy. |
| - | IoT and hardware engineering heritage means ML is one of several engineering disciplines rather than the firm's sole focus. |
| - | Larnaca, Cyprus legal HQ with all technical delivery in Ukraine is standard for the region but worth confirming for contract jurisdiction purposes. |
Who should choose Neurons Lab?
Neurons Lab is the right choice for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool..
Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Manufacturing, Media & Entertainment, Insurance.
Who should choose Yalantis?
Yalantis is the right choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof.. Minimum engagement starts at $10,000. Works best with clients in Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain.
Decision matrix: Neurons Lab vs Yalantis
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Neurons Lab |
| You need a large dedicated team for an ongoing programme | Neurons Lab |
| Your budget is at the lower end | Compare: Neurons Lab (Not published) vs Yalantis ($10,000) |
| You need specialist depth in a specific vertical | Neurons Lab |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Neurons Lab |
Use case fit: Neurons Lab vs Yalantis
| Use case | Neurons Lab fit | Yalantis fit | Winner |
|---|---|---|---|
| Enterprise wants an outside technical opinion before committing budget to an AI initiative. | Strong | Limited | Neurons Lab |
| Mid-market company needs a senior AI team to take a use case from prototype to production. | Strong | Limited | Neurons Lab |
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Strong | Strong | Both equally |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Neurons Lab vs Yalantis
Neurons Lab (4.9/5) is the stronger overall choice for most Machine Learning Development projects. Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer.. It is best for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool..
Yalantis (4.0/5) is the better choice when compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. If your situation matches those criteria, Yalantis is a competitive option.
Related comparisons
Neurons Lab vs Yalantis FAQ
Is Neurons Lab better than Yalantis?
Neurons Lab (4.9/5) scores higher overall, but "better" depends on your use case. Neurons Lab is better for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool.. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
How do Neurons Lab and Yalantis differ in pricing?
Neurons Lab uses time & materials, fixed-scope advisory sprints pricing with a minimum engagement of Not published. Yalantis uses fixed project, dedicated team pricing with a minimum engagement of $10,000. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neurons Lab or Yalantis?
Neurons Lab is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Neurons Lab and Yalantis?
Neurons Lab's primary differentiator is: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.. Yalantis's primary differentiator is: compliance-first positioning combined with multi-cloud ml delivery (aws, azure, gcp) under one roof.. They also differ in team size (51–200 vs 500+), minimum engagement (Not published vs $10,000), and primary industries served (FinTech, Healthcare vs Healthcare, IoT & Embedded Systems).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.