InData Labs vs Zfort Group: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Zfort Group (4.0/5) overall. InData Labs is the better choice for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead.. Zfort Group is the stronger option for companies wanting a long-established (24+ year) software firm's dedicated ML practice rather than a newer AI-only startup.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Zfort Group: head-to-head summary
| Criterion | InData Labs | Zfort Group |
|---|---|---|
| Founded | 2014 | 2000 |
| HQ | Limassol, Cyprus | Kharkiv, Ukraine |
| Team size | 50–100 | 193 |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Best for | FinTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead. | Companies wanting a long-established (24+ year) software firm's dedicated ML practice rather than a newer AI-only startup. |
| Pricing model | Project-based, dedicated team | Project-based, time & materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, spaCy |
| Industries served | FinTech, Healthcare, Retail & E-commerce, Logistics & Supply Chain | Retail & E-commerce, Media & Entertainment, FinTech |
InData Labs vs Zfort Group: 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.
Zfort Group
Zfort Group was founded in 2000 and is headquartered in Kharkiv, Ukraine, with representative offices in the USA, UK, Canada, Australia, and Israel, and approximately 193 employees across four continents as of mid-2025. The company's machine learning practice covers consulting, data analysis, and engineering across data science, NLP, computer vision, predictive analytics, deep learning, and recommendation systems, alongside a separate blockchain development line. Zfort holds a 5-star rating on Clutch, and its 24+ years of operating history (since 2000) predates most competitors in this list.
Services and capabilities: InData Labs vs Zfort Group
| Capability | InData Labs | Zfort Group |
|---|---|---|
| Custom ML Models | ✓ | ✗ |
| Computer Vision | ✓ | ✓ |
| NLP | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: InData Labs vs Zfort Group
| Framework / platform | InData Labs | Zfort Group |
|---|---|---|
| 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 Zfort Group
| Criterion | InData Labs | Zfort Group |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Project-based, Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs Zfort Group
| Dimension | InData Labs | Zfort Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Retail & E-commerce, Media & Entertainment, 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 a long-established vendor with a 5-star Clutch rating for an NLP or computer vision project., Retail or media client needs a recommendation system built by a team with deep-learning and predictive-analytics experience. |
| Typical project type | Project-based | Project-based |
InData Labs vs Zfort Group: 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. |
| Zfort Group | |
|---|---|
| + | 5-star Clutch rating reflects strong client satisfaction on the platform. |
| + | 24+ years of operating history (since 2000) is among the longest in this list, indicating institutional stability through multiple technology cycles. |
| + | Broad ML sub-specialty coverage (NLP, computer vision, predictive analytics, recommendation systems) under one practice. |
| + | Representative offices across five countries provide time-zone flexibility for global clients. |
| - | 193-person team splits attention across ML and a separate blockchain development practice, rather than being AI-exclusive. |
| - | Being founded in 2000 as a general software firm means its AI practice, while broad, is one line of business rather than the company's sole 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 Zfort Group?
Zfort Group is the right choice for companies wanting a long-established (24+ year) software firm's dedicated ML practice rather than a newer AI-only startup..
One of the longest-operating firms in this list (founded 2000) with a 5-star Clutch rating and broad ML sub-specialty coverage.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Media & Entertainment, FinTech.
Decision matrix: InData Labs vs Zfort Group
| 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 | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs Zfort Group (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 Zfort Group
| Use case | InData Labs fit | Zfort Group 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 a long-established vendor with a 5-star Clutch rating for an NLP or computer vision project. | Strong | Strong | Both equally |
| Retail or media client needs a recommendation system built by a team with deep-learning and predictive-analytics experience. | Limited | Strong | Zfort Group |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: InData Labs vs Zfort Group
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..
Zfort Group (4.0/5) is the better choice when companies wanting a long-established (24+ year) software firm's dedicated ML practice rather than a newer AI-only startup.. If your situation matches those criteria, Zfort Group is a competitive option.
Related comparisons
InData Labs vs Zfort Group FAQ
Is InData Labs better than Zfort Group?
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.. Zfort Group is better for companies wanting a long-established (24+ year) software firm's dedicated ML practice rather than a newer AI-only startup..
How do InData Labs and Zfort Group differ in pricing?
InData Labs uses project-based, dedicated team pricing with a minimum engagement of Not published. Zfort Group uses project-based, time & materials 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 Zfort Group?
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 Zfort Group?
InData Labs's primary differentiator is: ten-plus years as a pure-play ai/data-science firm with no general software-development sideline.. Zfort Group's primary differentiator is: one of the longest-operating firms in this list (founded 2000) with a 5-star clutch rating and broad ml sub-specialty coverage.. They also differ in team size (50–100 vs 193), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs Retail & E-commerce, Media & Entertainment).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.