Tensorway vs SoluLab: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of SoluLab (4.1/5) overall. Tensorway is the better choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. SoluLab is the stronger option for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs SoluLab: head-to-head summary
| Criterion | Tensorway | SoluLab |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | Alicante, Spain | Woodland Hills, California, United States |
| Team size | 50–249 | 246–250 |
| Rating | 4.6 / 5 | 4.1 / 5 |
| Best for | Fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent. | Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. |
| Pricing model | Project-based, time & materials | Project-based, dedicated team |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | TensorFlow, PyTorch, OpenCV | OpenAI API, LangChain, Python |
| Industries served | FinTech, Healthcare, Retail & E-commerce, EdTech | Media & Entertainment, Automotive, Education, FinTech |
Tensorway vs SoluLab: overview
Tensorway
Tensorway was founded in 2019 as an AI-focused unit of Anadea, a 20+ year software development company, and had its public launch in 2023. Based in Alicante, Spain with a team in the 50–249 band (per Clutch), the firm delivers machine learning, deep learning, computer vision, and NLP projects for fintech, healthcare, retail, and edtech clients, with post-deployment model retraining and 24/7 support included in its engagement model. Because Tensorway operates as a spin-out rather than a fully independent company, prospective clients should confirm current ownership and delivery-team overlap with Anadea before signing.
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.
Services and capabilities: Tensorway vs SoluLab
| Capability | Tensorway | SoluLab |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Tensorway vs SoluLab
| Framework / platform | Tensorway | SoluLab |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Tensorway vs SoluLab
| Criterion | Tensorway | SoluLab |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Project-based, Time & materials | Project-based, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Tensorway vs SoluLab
| Dimension | Tensorway | SoluLab |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Media & Entertainment, Automotive, Education |
| Best use cases | Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support., Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. | 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. |
| Typical project type | Project-based | Project-based |
Tensorway vs SoluLab: pros and cons
| Tensorway | |
|---|---|
| + | Backed by Anadea's 20+ years of software delivery experience, reducing the operational-risk profile typical of a 2019-founded firm. |
| + | Post-deployment model retraining and 24/7 support are included rather than sold as a separate line item. |
| + | $10,000+ minimum project size is accessible for mid-sized fintech and healthcare teams, not just large enterprises. |
| + | Focused service scope (ML, DL, computer vision, NLP) avoids the generalist sprawl of larger IT outsourcers. |
| - | As a unit spun out of Anadea in 2019 with a 2023 public launch, its independent track record is shorter than its 20-year parent-company narrative implies. |
| - | 50–249 employee band (per Clutch) is wide, making it hard to confirm how many staff are dedicated specifically to ML work. |
| - | Smaller public case-study footprint than larger regional peers like SoftServe or N-iX. |
| 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. |
Who should choose Tensorway?
Tensorway is the right choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..
AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. Minimum engagement starts at $10,000+. Works best with clients in FinTech, Healthcare, Retail & E-commerce, EdTech.
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.
Decision matrix: Tensorway vs SoluLab
| 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: Tensorway ($10,000+) vs SoluLab (Not published) |
| You need specialist depth in a specific vertical | Tensorway |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Tensorway vs SoluLab
| Use case | Tensorway fit | SoluLab fit | Winner |
|---|---|---|---|
| Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support. | Strong | Limited | Tensorway |
| Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. | Strong | Limited | Tensorway |
| 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. | Limited | Strong | SoluLab |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Strong | Limited | Tensorway |
Verdict: Tensorway vs SoluLab
Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. It is best for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..
SoluLab (4.1/5) is the better choice when companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. If your situation matches those criteria, SoluLab is a competitive option.
Related comparisons
Tensorway vs SoluLab FAQ
Is Tensorway better than SoluLab?
Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway is better for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. SoluLab is better for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..
How do Tensorway and SoluLab differ in pricing?
Tensorway uses project-based, time & materials pricing with a minimum engagement of $10,000+. SoluLab uses project-based, 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: Tensorway or SoluLab?
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 Tensorway and SoluLab?
Tensorway's primary differentiator is: ai boutique backed by 20+ years of software delivery experience via parent company anadea.. SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. They also differ in team size (50–249 vs 246–250), minimum engagement ($10,000+ vs Not published), and primary industries served (FinTech, Healthcare vs Media & Entertainment, Automotive).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.