SoluLab vs Intellias: full comparison for 2026
Last updated: July 2026
Quick verdict
SoluLab (4.1/5) edges ahead of Intellias (3.7/5) overall. SoluLab is the better choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Intellias is the stronger option for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. The right choice depends on your project size, budget, and required tech stack.
SoluLab vs Intellias: head-to-head summary
| Criterion | SoluLab | Intellias |
|---|---|---|
| Founded | 2014 | 2002 |
| HQ | Woodland Hills, California, United States | Sliema, Malta |
| Team size | 246–250 | 2,961 |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Best for | Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. | Automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage. |
| 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, Azure |
| Industries served | Media & Entertainment, Automotive, Education, FinTech | Automotive, Manufacturing, FinTech, Retail & E-commerce |
SoluLab vs Intellias: 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.
Intellias
Intellias was founded in 2002 in Lviv, Ukraine by Michael Puzrakov and Vitaly Sedler and now lists its headquarters in Sliema, Malta, with a workforce exceeding 2,961 employees (some sources cite 3,000+). The company specializes in IoT, artificial intelligence, machine learning, big data, cloud computing, data science, and DevOps, and has been listed among top service providers by Clutch, IAOP, and the GSA UK Awards. Its automotive and mobility-sector heritage gives it particular depth in embedded/IoT-adjacent ML applications relative to more general-purpose AI consultancies.
Services and capabilities: SoluLab vs Intellias
| Capability | SoluLab | Intellias |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: SoluLab vs Intellias
| Framework / platform | SoluLab | Intellias |
|---|---|---|
| TensorFlow | 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 Intellias
| Criterion | SoluLab | Intellias |
|---|---|---|
| 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 Intellias
| Dimension | SoluLab | Intellias |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media & Entertainment, Automotive, Education | Automotive, Manufacturing, FinTech |
| 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. | Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage., Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. |
| Typical project type | Project-based | Dedicated team |
SoluLab vs Intellias: 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. |
| Intellias | |
|---|---|
| + | 22+ years of operating history (since 2002) with founders still traceable to the company's Lviv origins. |
| + | 2,961-person workforce provides strong delivery capacity for large, multi-workstream enterprise programs. |
| + | Recognized among top service providers by Clutch, IAOP, and the GSA UK Awards — three independent bodies rather than one. |
| + | Automotive and IoT sector depth differentiates it from generalist ML consultancies for embedded/connected-device use cases. |
| - | Legal headquarters in Sliema, Malta while founding and significant delivery capacity remains tied to Lviv, Ukraine — confirm contracting jurisdiction. |
| - | At nearly 3,000 employees, AI/ML is one of several core specializations (IoT, big data, cloud, DevOps) rather than a standalone focus. |
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 Intellias?
Intellias is the right choice for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases.. Minimum engagement starts at Not published. Works best with clients in Automotive, Manufacturing, FinTech, Retail & E-commerce.
Decision matrix: SoluLab vs Intellias
| 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 Intellias (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 Intellias
| Use case | SoluLab fit | Intellias 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 |
| Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage. | Limited | Strong | Intellias |
| Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: SoluLab vs Intellias
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..
Intellias (3.7/5) is the better choice when automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. If your situation matches those criteria, Intellias is a competitive option.
Related comparisons
SoluLab vs Intellias FAQ
Is SoluLab better than Intellias?
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.. Intellias is better for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
How do SoluLab and Intellias differ in pricing?
SoluLab uses project-based, dedicated team pricing with a minimum engagement of Not published. Intellias 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 Intellias?
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 Intellias?
SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. Intellias's primary differentiator is: strong automotive/mobility and iot sector heritage, giving it differentiated depth in embedded and connected-device ml use cases.. They also differ in team size (246–250 vs 2,961), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs Automotive, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.