SoluLab vs Innowise: full comparison for 2026
Last updated: July 2026
Quick verdict
SoluLab (4.1/5) edges ahead of Innowise (3.7/5) overall. SoluLab is the better choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Innowise is the stronger option for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. The right choice depends on your project size, budget, and required tech stack.
SoluLab vs Innowise: head-to-head summary
| Criterion | SoluLab | Innowise |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Woodland Hills, California, United States | Warsaw, Poland |
| Team size | 246–250 | 3,500+ |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Best for | Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. | Companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group. |
| Pricing model | Project-based, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | OpenAI API, LangChain, Python | Python, AWS, Apache Spark |
| Industries served | Media & Entertainment, Automotive, Education, FinTech | FinTech, Retail & E-commerce, Healthcare, Manufacturing |
SoluLab vs Innowise: 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.
Innowise
Innowise was founded in 2007 and is headquartered in Warsaw, Poland, with more than 3,500 vetted engineers on staff. The company's Data and AI hub reportedly unites 300+ specialists who have delivered 200+ AI-enabled projects, maintaining dedicated practices in machine learning, big data analytics, robotic process automation, and metaverse development. While the AI hub's 300-person headcount is sizable in absolute terms, it represents less than 10% of Innowise's total 3,500+ engineering staff, reflecting the company's broader identity as a general software engineering group.
Services and capabilities: SoluLab vs Innowise
| Capability | SoluLab | Innowise |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: SoluLab vs Innowise
| Framework / platform | SoluLab | Innowise |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | 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: SoluLab vs Innowise
| Criterion | SoluLab | Innowise |
|---|---|---|
| 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 Innowise
| Dimension | SoluLab | Innowise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media & Entertainment, Automotive, Education | FinTech, Retail & E-commerce, Healthcare |
| 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. | Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool., Enterprise needs machine learning plus robotic process automation from a single large vendor. |
| Typical project type | Project-based | Dedicated team |
SoluLab vs Innowise: 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. |
| Innowise | |
|---|---|
| + | 300+ person Data and AI hub is a specifically named, dedicated practice rather than an unstructured claim of AI capability. |
| + | 200+ AI-enabled projects delivered gives the AI hub a meaningful, quantified track record. |
| + | 3,500+ total engineers provide substantial staffing depth to scale an engagement quickly if needed. |
| + | 17 years of company history (since 2007) as an award-winning custom software developer with strong Clutch client reviews. |
| - | The 300-person AI hub represents a small fraction (well under 10%) of Innowise's total 3,500+ engineering staff — confirm the engagement is staffed from the AI hub specifically. |
| - | Broader company identity is general custom software development, with AI/ML as one of several practice areas (alongside RPA and metaverse development). |
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 Innowise?
Innowise is the right choice for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale.. Minimum engagement starts at Not published. Works best with clients in FinTech, Retail & E-commerce, Healthcare, Manufacturing.
Decision matrix: SoluLab vs Innowise
| 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 Innowise (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 | Both may offer discovery engagements |
Use case fit: SoluLab vs Innowise
| Use case | SoluLab fit | Innowise 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 |
| Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool. | Strong | Strong | Both equally |
| Enterprise needs machine learning plus robotic process automation from a single large vendor. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: SoluLab vs Innowise
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..
Innowise (3.7/5) is the better choice when companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. If your situation matches those criteria, Innowise is a competitive option.
Related comparisons
SoluLab vs Innowise FAQ
Is SoluLab better than Innowise?
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.. Innowise is better for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
How do SoluLab and Innowise differ in pricing?
SoluLab uses project-based, dedicated team pricing with a minimum engagement of Not published. Innowise 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 Innowise?
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 Innowise?
SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. Innowise's primary differentiator is: a specifically named 300+ person data and ai hub within a much larger 3,500+ engineer group, giving both focus and scale.. They also differ in team size (246–250 vs 3,500+), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs FinTech, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.