InData Labs vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of ELEKS (3.7/5) overall. InData Labs is the better choice for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead.. ELEKS is the stronger option for enterprises wanting AI/ML delivery from one of the oldest continuously operating engineering firms in Central/Eastern Europe.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs ELEKS: head-to-head summary
| Criterion | InData Labs | ELEKS |
|---|---|---|
| Founded | 2014 | 1991 |
| HQ | Limassol, Cyprus | Tallinn, Estonia |
| Team size | 50–100 | 2,100+ |
| Rating | 4.5 / 5 | 3.7 / 5 |
| Best for | FinTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead. | Enterprises wanting AI/ML delivery from one of the oldest continuously operating engineering firms in Central/Eastern Europe. |
| Pricing model | Project-based, dedicated team | Time & materials, managed engagement |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, AWS, Azure |
| Industries served | FinTech, Healthcare, Retail & E-commerce, Logistics & Supply Chain | Manufacturing, Healthcare, FinTech, Retail & E-commerce |
InData Labs vs ELEKS: 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.
ELEKS
ELEKS was established in 1991 and is headquartered in Tallinn, Estonia, with roughly 2,100+ employees operating from offices across the US, Canada, Germany, Ukraine, Poland, Switzerland, Japan, Croatia, the UAE, Saudi Arabia, and the UK. The firm leverages AI/ML, Big Data, IoT, cloud, cybersecurity, and UX expertise, reporting more than 1,000 successfully delivered data-driven projects over its 30+ year history, and has received a 2024 Spring Clutch Global Award plus recognition on the Global Outsourcing 100 list. As one of the oldest firms in this list, ELEKS' AI/ML practice is one of several mature service lines rather than a standalone specialty.
Services and capabilities: InData Labs vs ELEKS
| Capability | InData Labs | ELEKS |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: InData Labs vs ELEKS
| Framework / platform | InData Labs | ELEKS |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | 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 ELEKS
| Criterion | InData Labs | ELEKS |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Managed engagement, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs ELEKS
| Dimension | InData Labs | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Manufacturing, 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. | Enterprise wants AI/ML delivery from one of the longest continuously operating engineering firms in the region., Manufacturing or fintech company needs a data-driven project delivered by a firm with 1,000+ prior deliveries. |
| Typical project type | Project-based | Managed engagement |
InData Labs vs ELEKS: 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. |
| ELEKS | |
|---|---|
| + | 33+ years of continuous operation (since 1991) is among the longest track records of any firm in this list. |
| + | 1,000+ successfully delivered data-driven projects gives it an extensive AI/ML/data delivery pattern library. |
| + | 2024 Spring Clutch Global Award and Global Outsourcing 100 listing are independently sourced recognitions. |
| + | 2,100+ employees across 11 countries provide broad geographic delivery coverage. |
| - | AI/ML is one of several mature service lines (alongside Big Data, IoT, cybersecurity, UX) rather than the firm's primary identity. |
| - | Legal HQ in Tallinn, Estonia while origin and significant delivery capacity remains tied to Lviv, Ukraine — confirm contracting entity. |
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 ELEKS?
ELEKS is the right choice for enterprises wanting AI/ML delivery from one of the oldest continuously operating engineering firms in Central/Eastern Europe..
33+ years of operating history (since 1991) with 1,000+ delivered data-driven projects and Global Outsourcing 100 recognition.. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Healthcare, FinTech, Retail & E-commerce.
Decision matrix: InData Labs vs ELEKS
| 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 ELEKS (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 | ELEKS |
Use case fit: InData Labs vs ELEKS
| Use case | InData Labs fit | ELEKS 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 | Limited | InData Labs |
| Enterprise wants AI/ML delivery from one of the longest continuously operating engineering firms in the region. | Limited | Strong | ELEKS |
| Manufacturing or fintech company needs a data-driven project delivered by a firm with 1,000+ prior deliveries. | Limited | Strong | ELEKS |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: InData Labs vs ELEKS
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..
ELEKS (3.7/5) is the better choice when enterprises wanting AI/ML delivery from one of the oldest continuously operating engineering firms in Central/Eastern Europe.. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
InData Labs vs ELEKS FAQ
Is InData Labs better than ELEKS?
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.. ELEKS is better for enterprises wanting AI/ML delivery from one of the oldest continuously operating engineering firms in Central/Eastern Europe..
How do InData Labs and ELEKS differ in pricing?
InData Labs uses project-based, dedicated team pricing with a minimum engagement of Not published. ELEKS uses time & materials, managed engagement 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 ELEKS?
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 ELEKS?
InData Labs's primary differentiator is: ten-plus years as a pure-play ai/data-science firm with no general software-development sideline.. ELEKS's primary differentiator is: 33+ years of operating history (since 1991) with 1,000+ delivered data-driven projects and global outsourcing 100 recognition.. They also differ in team size (50–100 vs 2,100+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs Manufacturing, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.