InData Labs vs Cleveroad: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Cleveroad (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.. Cleveroad is the stronger option for healthcare, logistics, and fintech companies wanting an Estonia-based full-stack development firm with an AI practice.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Cleveroad: head-to-head summary
| Criterion | InData Labs | Cleveroad |
|---|---|---|
| Founded | 2014 | 2011 |
| HQ | Limassol, Cyprus | Tallinn, Estonia |
| Team size | 50–100 | 51–200 |
| 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. | Healthcare, logistics, and fintech companies wanting an Estonia-based full-stack development firm with an AI practice. |
| 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 | Healthcare, Logistics & Supply Chain, FinTech, Retail & E-commerce |
InData Labs vs Cleveroad: 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.
Cleveroad
Cleveroad was founded in 2011 and is headquartered in Tallinn, Estonia, with an R&D center there and additional delivery staff across five countries. The company has built more than a decade of experience in healthcare, logistics, fintech, and retail, delivering web and mobile applications alongside AI/ML solutions and dedicated development teams. Cleveroad was named to the 2025 Clutch 1000 — placing it among the top 30 highest-rated B2B service providers globally on the platform — though reported employee counts vary between roughly 50 and 200.
Services and capabilities: InData Labs vs Cleveroad
| Capability | InData Labs | Cleveroad |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✓ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: InData Labs vs Cleveroad
| Framework / platform | InData Labs | Cleveroad |
|---|---|---|
| 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 Cleveroad
| Criterion | InData Labs | Cleveroad |
|---|---|---|
| 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 Cleveroad
| Dimension | InData Labs | Cleveroad |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Healthcare, Logistics & Supply Chain, 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. | Healthcare or logistics company wants an AI feature built by a Clutch 1000-recognized full-stack development firm., Fintech startup needs both application development and ML modeling from a single Estonia-based vendor. |
| Typical project type | Project-based | Project-based |
InData Labs vs Cleveroad: 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. |
| Cleveroad | |
|---|---|
| + | 2025 Clutch 1000 placement (top 30 highest-rated global B2B providers) is a strong, independently verified distinction. |
| + | 13+ years of operating history (since 2011) with consistent focus on healthcare, logistics, and fintech verticals. |
| + | AI-assisted development services line reflects the firm keeping pace with modern AI-augmented delivery practices, not just AI as a client-facing product line. |
| - | Employee-count sources conflict meaningfully (50 vs. 51–200), so confirm current AI-specific team size before contracting. |
| - | AI/ML is one of several service lines (alongside general web/mobile development) rather than the firm's primary identity. |
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 Cleveroad?
Cleveroad is the right choice for healthcare, logistics, and fintech companies wanting an Estonia-based full-stack development firm with an AI practice..
Named to the 2025 Clutch 1000, placing it in the global top 30 highest-rated B2B service providers on the platform.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Logistics & Supply Chain, FinTech, Retail & E-commerce.
Decision matrix: InData Labs vs Cleveroad
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Cleveroad |
| 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 Cleveroad (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 Cleveroad
| Use case | InData Labs fit | Cleveroad fit | Winner |
|---|---|---|---|
| FinTech company needs predictive analytics built by a team that has done nothing but AI/data science since 2014. | Strong | Strong | Both equally |
| Healthcare startup needs a computer vision model with a small, senior delivery team. | Strong | Strong | Both equally |
| Healthcare or logistics company wants an AI feature built by a Clutch 1000-recognized full-stack development firm. | Strong | Strong | Both equally |
| Fintech startup needs both application development and ML modeling from a single Estonia-based vendor. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: InData Labs vs Cleveroad
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..
Cleveroad (3.9/5) is the better choice when healthcare, logistics, and fintech companies wanting an Estonia-based full-stack development firm with an AI practice.. If your situation matches those criteria, Cleveroad is a competitive option.
Related comparisons
InData Labs vs Cleveroad FAQ
Is InData Labs better than Cleveroad?
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.. Cleveroad is better for healthcare, logistics, and fintech companies wanting an Estonia-based full-stack development firm with an AI practice..
How do InData Labs and Cleveroad differ in pricing?
InData Labs uses project-based, dedicated team pricing with a minimum engagement of Not published. Cleveroad 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 Cleveroad?
Cleveroad 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 Cleveroad?
InData Labs's primary differentiator is: ten-plus years as a pure-play ai/data-science firm with no general software-development sideline.. Cleveroad's primary differentiator is: named to the 2025 clutch 1000, placing it in the global top 30 highest-rated b2b service providers on the platform.. They also differ in team size (50–100 vs 51–200), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs Healthcare, Logistics & Supply Chain).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.