SoluLab vs Konstant Infosolutions: full comparison for 2026
Last updated: July 2026
Quick verdict
SoluLab (4.1/5) edges ahead of Konstant Infosolutions (3.9/5) overall. SoluLab is the better choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Konstant Infosolutions is the stronger option for companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor.. The right choice depends on your project size, budget, and required tech stack.
SoluLab vs Konstant Infosolutions: head-to-head summary
| Criterion | SoluLab | Konstant Infosolutions |
|---|---|---|
| Founded | 2014 | 2003 |
| HQ | Woodland Hills, California, United States | Jaipur, India |
| Team size | 246–250 | 180+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Best for | Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. | Companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor. |
| Pricing model | Project-based, dedicated team | Project-based, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | OpenAI API, LangChain, Python | TensorFlow, OpenCV, Python |
| Industries served | Media & Entertainment, Automotive, Education, FinTech | Retail & E-commerce, Healthcare, FinTech, Education |
SoluLab vs Konstant Infosolutions: 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.
Konstant Infosolutions
Konstant Infosolutions was founded in 2003 and has grown from a two-person operation to roughly 180 tech experts, with offices in the United States and UAE serving clients across Canada, the UK, Saudi Arabia, and other regions. The firm's AI/ML offerings include product design and development, AI consultancy, integrations, and strategy planning, spanning AI/ML, generative AI, AI chatbots, computer vision, and predictive analytics, and it holds more than 175 reviews on Clutch. Its core identity as a mobile/web app development company means AI/ML is a newer, extended capability rather than a founding specialty.
Services and capabilities: SoluLab vs Konstant Infosolutions
| Capability | SoluLab | Konstant Infosolutions |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: SoluLab vs Konstant Infosolutions
| Framework / platform | SoluLab | Konstant Infosolutions |
|---|---|---|
| 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 Konstant Infosolutions
| Criterion | SoluLab | Konstant Infosolutions |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Project-based, Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoluLab vs Konstant Infosolutions
| Dimension | SoluLab | Konstant Infosolutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media & Entertainment, Automotive, Education | Retail & E-commerce, Healthcare, 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. | Company wants AI/ML features (chatbot, computer vision, predictive analytics) added to an existing mobile or web product., Team wants a vendor with a very large Clutch review sample size for procurement due diligence. |
| Typical project type | Project-based | Project-based |
SoluLab vs Konstant Infosolutions: 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. |
| Konstant Infosolutions | |
|---|---|
| + | 175+ Clutch reviews is one of the highest client-review volumes in this list, offering a large sample size for due diligence. |
| + | 23 years of company history (since 2003) with demonstrated growth from a two-person startup to a 180+ person firm. |
| + | 2,500+ clients served indicates broad market traction beyond a handful of flagship case studies. |
| + | Covers a useful AI sub-specialty spread (chatbots, computer vision, predictive analytics) for product-embedded AI needs. |
| - | Company's primary identity and longest track record is in mobile/web app development, with AI/ML as an extended, newer service line. |
| - | 180-person team spans multiple service lines (mobile, web, AI), so ML-specific bench depth is smaller than total headcount implies. |
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 Konstant Infosolutions?
Konstant Infosolutions is the right choice for companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor..
175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, FinTech, Education.
Decision matrix: SoluLab vs Konstant Infosolutions
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Konstant Infosolutions |
| You need a large dedicated team for an ongoing programme | SoluLab |
| Your budget is at the lower end | Compare: SoluLab (Not published) vs Konstant Infosolutions (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 Konstant Infosolutions
| Use case | SoluLab fit | Konstant Infosolutions 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 | Limited | SoluLab |
| Company wants AI/ML features (chatbot, computer vision, predictive analytics) added to an existing mobile or web product. | Strong | Strong | Both equally |
| Team wants a vendor with a very large Clutch review sample size for procurement due diligence. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: SoluLab vs Konstant Infosolutions
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..
Konstant Infosolutions (3.9/5) is the better choice when companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor.. If your situation matches those criteria, Konstant Infosolutions is a competitive option.
Related comparisons
SoluLab vs Konstant Infosolutions FAQ
Is SoluLab better than Konstant Infosolutions?
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.. Konstant Infosolutions is better for companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor..
How do SoluLab and Konstant Infosolutions differ in pricing?
SoluLab uses project-based, dedicated team pricing with a minimum engagement of Not published. Konstant Infosolutions 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: SoluLab or Konstant Infosolutions?
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 Konstant Infosolutions?
SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. Konstant Infosolutions's primary differentiator is: 175+ clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record.. They also differ in team size (246–250 vs 180+), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs Retail & E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.