InData Labs vs Konstant Infosolutions: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Konstant Infosolutions (3.9/5) overall. InData Labs is the better choice for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead.. 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.
InData Labs vs Konstant Infosolutions: head-to-head summary
| Criterion | InData Labs | Konstant Infosolutions |
|---|---|---|
| Founded | 2014 | 2003 |
| HQ | Limassol, Cyprus | Jaipur, India |
| Team size | 50–100 | 180+ |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | FinTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead. | 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 | Python, TensorFlow, PyTorch | TensorFlow, OpenCV, Python |
| Industries served | FinTech, Healthcare, Retail & E-commerce, Logistics & Supply Chain | Retail & E-commerce, Healthcare, FinTech, Education |
InData Labs vs Konstant Infosolutions: overview
InData Labs
InData Labs was founded in 2014 by Marat Karpeko and is headquartered in Limassol, Cyprus, with additional offices in Lithuania and the United States. The company has stayed a pure-play AI/data-science consultancy for over a decade, building production ML systems for fintech, healthcare, SaaS, retail, and logistics clients, and is listed in Clutch's Top 10 AI Software Companies leaders matrix. At roughly 80 professionals, it is one of the smaller specialist firms in this list, trading scale for narrower focus.
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: InData Labs vs Konstant Infosolutions
| Capability | InData Labs | Konstant Infosolutions |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✓ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: InData Labs vs Konstant Infosolutions
| Framework / platform | InData Labs | Konstant Infosolutions |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs Konstant Infosolutions
| Criterion | InData Labs | 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: InData Labs vs Konstant Infosolutions
| Dimension | InData Labs | Konstant Infosolutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Retail & E-commerce, Healthcare, FinTech |
| Best use cases | FinTech company needs predictive analytics built by a team that has done nothing but AI/data science since 2014., Healthcare startup needs a computer vision model with a small, senior delivery team. | 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 |
InData Labs vs Konstant Infosolutions: pros and cons
| InData Labs | |
|---|---|
| + | Has operated as a dedicated AI/data science firm since 2014 with no pivot to general software outsourcing. |
| + | Ranked in Clutch's Top 10 AI Software Companies leaders matrix. |
| + | Covers the full pipeline from data engineering through generative AI and computer vision, avoiding narrow single-service lock-in. |
| + | Smaller team size (~80) generally means less account-management overhead between client and engineers. |
| - | At roughly 80 people, InData Labs cannot staff large multi-workstream enterprise programs the way a 2,000+ person firm can. |
| - | Limassol, Cyprus HQ has a thinner regional case-study base in North America compared to US-headquartered peers. |
| 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 InData Labs?
InData Labs is the right choice for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead..
Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Logistics & Supply Chain.
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: InData Labs 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 | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs Konstant Infosolutions (Not published) |
| You need specialist depth in a specific vertical | InData Labs |
| 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: InData Labs vs Konstant Infosolutions
| Use case | InData Labs fit | Konstant Infosolutions fit | Winner |
|---|---|---|---|
| FinTech company needs predictive analytics built by a team that has done nothing but AI/data science since 2014. | Strong | Limited | InData Labs |
| Healthcare startup needs a computer vision model with a small, senior delivery team. | Strong | Limited | InData Labs |
| 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: InData Labs vs Konstant Infosolutions
InData Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline.. It is best for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead..
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
InData Labs vs Konstant Infosolutions FAQ
Is InData Labs better than Konstant Infosolutions?
InData Labs (4.5/5) scores higher overall, but "better" depends on your use case. InData Labs is better for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead.. 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 InData Labs and Konstant Infosolutions differ in pricing?
InData Labs 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: InData Labs or Konstant Infosolutions?
InData Labs 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 InData Labs and Konstant Infosolutions?
InData Labs's primary differentiator is: ten-plus years as a pure-play ai/data-science firm with no general software-development sideline.. 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 (50–100 vs 180+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs Retail & E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.