Provectus vs SoluLab: full comparison for 2026
Last updated: July 2026
Quick verdict
Provectus (4.8/5) edges ahead of SoluLab (4.1/5) overall. Provectus is the better choice for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept.. 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.
Provectus vs SoluLab: head-to-head summary
| Criterion | Provectus | SoluLab |
|---|---|---|
| Founded | 2010 | 2014 |
| HQ | Palo Alto, California, United States | Woodland Hills, California, United States |
| Team size | 500–1,000 | 246–250 |
| Rating | 4.8 / 5 | 4.1 / 5 |
| Best for | Mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept. | Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. |
| Pricing model | Time & materials, fixed project | Project-based, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS SageMaker, Kubernetes, MLflow | OpenAI API, LangChain, Python |
| Industries served | Retail & E-commerce, Healthcare, Manufacturing, Media & Entertainment, FinTech | Media & Entertainment, Automotive, Education, FinTech |
Provectus vs SoluLab: overview
Provectus
Provectus was founded in 2010 in Palo Alto, California by Stepan Pushkarev and operates as an AI-first systems integrator, combining cloud engineering, big data engineering, and applied ML/AI. The company has grown to an estimated 500–1,000 employees across nine locations and positions itself around running the AI systems its clients run their business on, rather than one-off model delivery. Clutch lists Provectus at a $50–$99/hr rate band, consistent with a mid-market enterprise consultancy rather than a boutique.
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: Provectus vs SoluLab
| Capability | Provectus | SoluLab |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Provectus vs SoluLab
| Framework / platform | Provectus | 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 |
Pricing comparison: Provectus vs SoluLab
| Criterion | Provectus | SoluLab |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project, Managed MLOps | Project-based, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Provectus vs SoluLab
| Dimension | Provectus | SoluLab |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Retail & E-commerce, Healthcare, Manufacturing | Media & Entertainment, Automotive, Education |
| Best use cases | Company has a working ML prototype and needs it hardened into a production MLOps pipeline., Enterprise needs a single vendor for both cloud infrastructure and ML delivery. | 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 | Dedicated team | Project-based |
Provectus vs SoluLab: pros and cons
| Provectus | |
|---|---|
| + | 500–1,000 person bench supports enterprise-scale engagements without subcontracting. |
| + | Combines cloud infrastructure engineering with ML delivery, reducing hand-off friction to a separate DevOps vendor. |
| + | 15+ years of delivery history since 2010 gives the firm depth in productionizing (not just prototyping) ML systems. |
| + | Broad industry coverage from retail to healthcare reduces vertical-specific onboarding risk. |
| - | Mid-market hourly rate ($50–$99/hr per Clutch) sits below boutique AI specialists, which can mean less senior researcher involvement per project. |
| - | Company size means engagement structure is closer to a managed vendor relationship than a tight advisory partnership. |
| 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 Provectus?
Provectus is the right choice for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept..
AI-first systems integrator built around running production ML/AI infrastructure long-term.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, Manufacturing, Media & Entertainment, FinTech.
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: Provectus vs SoluLab
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Provectus |
| You need a large dedicated team for an ongoing programme | Provectus |
| Your budget is at the lower end | Compare: Provectus (Not published) vs SoluLab (Not published) |
| You need specialist depth in a specific vertical | Provectus |
| You need production MLOps support after model launch | Provectus |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Provectus vs SoluLab
| Use case | Provectus fit | SoluLab fit | Winner |
|---|---|---|---|
| Company has a working ML prototype and needs it hardened into a production MLOps pipeline. | Strong | Strong | Both equally |
| Enterprise needs a single vendor for both cloud infrastructure and ML delivery. | Strong | Strong | Both equally |
| 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 |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Provectus vs SoluLab
Provectus (4.8/5) is the stronger overall choice for most Machine Learning Development projects. AI-first systems integrator built around running production ML/AI infrastructure long-term.. It is best for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept..
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
Provectus vs SoluLab FAQ
Is Provectus better than SoluLab?
Provectus (4.8/5) scores higher overall, but "better" depends on your use case. Provectus is better for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept.. SoluLab is better for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..
How do Provectus and SoluLab differ in pricing?
Provectus uses time & materials, fixed project pricing with a minimum engagement of Not published. 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: Provectus or SoluLab?
Provectus 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 Provectus and SoluLab?
Provectus's primary differentiator is: ai-first systems integrator built around running production ml/ai infrastructure long-term.. SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. They also differ in team size (500–1,000 vs 246–250), minimum engagement (Not published vs Not published), and primary industries served (Retail & E-commerce, Healthcare vs Media & Entertainment, Automotive).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.