SoluLab vs Andersen: full comparison for 2026
Last updated: July 2026
Quick verdict
SoluLab (4.1/5) edges ahead of Andersen (3.7/5) overall. SoluLab is the better choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Andersen is the stronger option for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. The right choice depends on your project size, budget, and required tech stack.
SoluLab vs Andersen: head-to-head summary
| Criterion | SoluLab | Andersen |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Woodland Hills, California, United States | Warsaw, Poland |
| Team size | 246–250 | 3,600+ |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Best for | Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. | Enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.). |
| Pricing model | Project-based, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | OpenAI API, LangChain, Python | Python, .NET, Java |
| Industries served | Media & Entertainment, Automotive, Education, FinTech | FinTech, Healthcare, Retail & E-commerce, Manufacturing |
SoluLab vs Andersen: overview
SoluLab
SoluLab was founded in 2014–2015 by Chintan Thakkar and Rajat Lala and is headquartered in Woodland Hills, California, with a team of roughly 246–250 engineers, data scientists, and AI specialists. The firm positions itself as an 'AI-native, Blockchain, and Web3' development company and reports having delivered 1,500+ projects across 15+ countries for clients including The Walt Disney Company, Mercedes-Benz, and the University of Cambridge (per company website; independently unverifiable at this scale). Its dual focus on AI and blockchain/Web3 makes it broader than a pure ML specialist.
Andersen
Andersen was founded in 2007 by Alexandr Khomich, with Alexandr Orlov as co-founder/CTO and Alexandr Grigoryev as CEO, and is headquartered in Warsaw, Poland with additional presence in Krakow. The company employs more than 3,600 in-house developers, QA engineers, business analysts, designers, project managers, DevOps, and security specialists across 20 office locations and 16 development centers, with a technology stack spanning .NET, Java, Python, PHP, Go, mobile, and front-end frameworks alongside AI consulting, machine learning, and data engineering. Its AI/data practice sits within a much broader general software-engineering portfolio.
Services and capabilities: SoluLab vs Andersen
| Capability | SoluLab | Andersen |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: SoluLab vs Andersen
| Framework / platform | SoluLab | Andersen |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: SoluLab vs Andersen
| Criterion | SoluLab | Andersen |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoluLab vs Andersen
| Dimension | SoluLab | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media & Entertainment, Automotive, Education | FinTech, Healthcare, Retail & E-commerce |
| Best use cases | Company building an AI product with a blockchain or Web3 component needs a single integrated vendor., Enterprise wants a vendor with named brand-name reference clients for procurement comfort. | Enterprise wants AI consulting bundled with broad general software engineering (.NET, Java, mobile) from one vendor., Company needs a large, multi-language development team where AI/ML is one of several needed capabilities. |
| Typical project type | Project-based | Dedicated team |
SoluLab vs Andersen: pros and cons
| SoluLab | |
|---|---|
| + | Named enterprise clients (The Walt Disney Company, Mercedes-Benz, University of Cambridge) offer verifiable reference points, though the specific scope of each engagement is unconfirmed. |
| + | 246–250 team size supports mid-to-large engagements without enterprise-firm overhead. |
| + | Combined AI and blockchain/Web3 capability is useful for clients building tokenized or decentralized AI products. |
| + | 10 years of company history (since 2014–2015) under continuous founder leadership. |
| - | 1,500+ projects claim across 15+ countries is difficult to independently verify at face value. |
| - | Blockchain/Web3 focus alongside AI means clients purely interested in ML may be paying for adjacent expertise they don't need. |
| Andersen | |
|---|---|
| + | 3,600+ in-house experts across 20 office locations and 16 development centers gives it substantial delivery flexibility. |
| + | 17 years of company history (since 2007) with a broad, multi-language technology stack beyond AI alone. |
| + | AI-powered robotic integration line suggests genuine applied AI work beyond pure software consulting. |
| - | AI consulting and ML are a smaller practice within a much broader general software-engineering portfolio (.NET, Java, PHP, Go, mobile). |
| - | Reported HQ city varies between Warsaw and Krakow across sources — confirm the primary contracting entity. |
| - | At 3,600+ employees, clients should confirm they're assigned a genuinely AI-specialized pod, not general developers relabeled for the engagement. |
Who should choose SoluLab?
SoluLab is the right choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..
Combines AI-native development with blockchain/Web3 expertise under one delivery team.. Minimum engagement starts at Not published. Works best with clients in Media & Entertainment, Automotive, Education, FinTech.
Who should choose Andersen?
Andersen is the right choice for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Manufacturing.
Decision matrix: SoluLab vs Andersen
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | SoluLab |
| Your budget is at the lower end | Compare: SoluLab (Not published) vs Andersen (Not published) |
| You need specialist depth in a specific vertical | SoluLab |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Andersen |
Use case fit: SoluLab vs Andersen
| Use case | SoluLab fit | Andersen fit | Winner |
|---|---|---|---|
| Company building an AI product with a blockchain or Web3 component needs a single integrated vendor. | Strong | Strong | Both equally |
| Enterprise wants a vendor with named brand-name reference clients for procurement comfort. | Strong | Strong | Both equally |
| Enterprise wants AI consulting bundled with broad general software engineering (.NET, Java, mobile) from one vendor. | Strong | Strong | Both equally |
| Company needs a large, multi-language development team where AI/ML is one of several needed capabilities. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: SoluLab vs Andersen
SoluLab (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Combines AI-native development with blockchain/Web3 expertise under one delivery team.. It is best for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..
Andersen (3.7/5) is the better choice when enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. If your situation matches those criteria, Andersen is a competitive option.
Related comparisons
SoluLab vs Andersen FAQ
Is SoluLab better than Andersen?
SoluLab (4.1/5) scores higher overall, but "better" depends on your use case. SoluLab is better for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Andersen is better for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
How do SoluLab and Andersen differ in pricing?
SoluLab uses project-based, dedicated team pricing with a minimum engagement of Not published. Andersen uses time & materials, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: SoluLab or Andersen?
SoluLab 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 SoluLab and Andersen?
SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. Andersen's primary differentiator is: 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. They also differ in team size (246–250 vs 3,600+), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs FinTech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.