DataRoot Labs vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
DataRoot Labs (4.2/5) edges ahead of ELEKS (3.6/5) overall. DataRoot Labs is the better choice for european and Israeli companies needing a structured ML R&D methodology with startup and enterprise delivery experience. ELEKS is the stronger option for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. The right choice depends on your project size, budget, and required tech stack.
DataRoot Labs vs ELEKS: head-to-head summary
| Criterion | DataRoot Labs | ELEKS |
|---|---|---|
| Founded | 2016 | 1991 |
| HQ | Kyiv, Ukraine | Lviv, Ukraine / Chicago, IL, USA |
| Team size | 50–100 | 2,000–3,000 |
| Rating | 4.2 / 5 | 3.6 / 5 |
| Best for | European and Israeli companies needing a structured ML R&D methodology with startup and enterprise delivery experience | Enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes |
| Pricing model | Fixed project, T&M | Dedicated team, T&M, fixed project |
| Min. engagement | $20K | $100K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Scikit-learn, TensorFlow |
| Industries served | SaaS, Healthcare, Fintech, Manufacturing, E-commerce | Healthcare, Manufacturing, Fintech, Retail, Logistics |
DataRoot Labs vs ELEKS: overview
DataRoot Labs
DataRoot Labs is an AI research and development center founded in 2016 in Kyiv, Ukraine, serving mid-market and enterprise clients across Europe, Israel, and the United States. The firm focuses on AI product development, ML R&D team recruitment, and startup venture services, with a track record in computer vision, NLP, and predictive analytics. DataRoot Labs applies an R&D-oriented methodology, positioning each engagement as a structured research project with defined experimentation cycles. The team of 50–100 AI engineers and data scientists operates primarily from Eastern Europe with client-facing roles in Western markets.
ELEKS
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
Services and capabilities: DataRoot Labs vs ELEKS
| Capability | DataRoot Labs | ELEKS |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✗ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✗ | ✗ |
| ML consulting & strategy | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: DataRoot Labs vs ELEKS
| Framework / platform | DataRoot Labs | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | ✓ | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: DataRoot Labs vs ELEKS
| Criterion | DataRoot Labs | ELEKS |
|---|---|---|
| Minimum engagement | $20K | $100K |
| Engagement models | Fixed project, Time & materials, Dedicated team | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataRoot Labs vs ELEKS
| Dimension | DataRoot Labs | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Healthcare, Fintech | Healthcare, Manufacturing, Fintech |
| Best use cases | Computer vision for manufacturing quality inspection and defect detection, NLP-powered document classification for legal and compliance workflows | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling |
| Typical project type | Fixed project | Dedicated team |
DataRoot Labs vs ELEKS: pros and cons
| DataRoot Labs | |
|---|---|
| + | R&D-oriented approach with formal experiment cycles suited to novel or complex ML problems |
| + | Strong computer vision and NLP track record across European and Israeli clients |
| + | $20K minimum engagement accessible for early-stage project validation |
| + | Good EU and Israeli market timezone coverage from Eastern European delivery |
| + | Startup venture services available alongside enterprise ML delivery |
| - | Ukraine-based delivery requires business continuity assessment for long-term programmes |
| - | Smaller team (50–100) limits capacity for very large simultaneous engagements |
| - | R&D framing may add timeline uncertainty if experiment cycles extend beyond initial plan |
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
Who should choose DataRoot Labs?
DataRoot Labs is the right choice for european and Israeli companies needing a structured ML R&D methodology with startup and enterprise delivery experience.
Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients. Minimum engagement starts at $20K. Works best with clients in SaaS, Healthcare, Fintech, Manufacturing, E-commerce.
Who should choose ELEKS?
ELEKS is the right choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics.
Decision matrix: DataRoot Labs vs ELEKS
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DataRoot Labs |
| You need a large dedicated team for an ongoing programme | DataRoot Labs |
| Your budget is at the lower end | DataRoot Labs |
| You need specialist depth in a specific vertical | DataRoot Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | DataRoot Labs |
Use case fit: DataRoot Labs vs ELEKS
| Use case | DataRoot Labs fit | ELEKS fit | Winner |
|---|---|---|---|
| Computer vision for manufacturing quality inspection and defect detection | Strong | Limited | DataRoot Labs |
| NLP-powered document classification for legal and compliance workflows | Strong | Limited | DataRoot Labs |
| Market forecasting ML for retail sales planning and inventory optimisation | Limited | Strong | ELEKS |
| Demand prediction for manufacturing capacity planning and scheduling | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataRoot Labs vs ELEKS
DataRoot Labs (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients. It is best for european and Israeli companies needing a structured ML R&D methodology with startup and enterprise delivery experience.
ELEKS (3.6/5) is the better choice when enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
DataRoot Labs vs ELEKS FAQ
Is DataRoot Labs better than ELEKS?
DataRoot Labs (4.2/5) scores higher overall, but "better" depends on your use case. DataRoot Labs is better for european and Israeli companies needing a structured ML R&D methodology with startup and enterprise delivery experience. ELEKS is better for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
How do DataRoot Labs and ELEKS differ in pricing?
DataRoot Labs uses fixed project, t&m pricing with a minimum engagement of $20K. ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataRoot Labs or ELEKS?
ELEKS 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 DataRoot Labs and ELEKS?
DataRoot Labs's primary differentiator is: structured ai r&d methodology with formal experiment cycles serving european and israeli mid-market clients. ELEKS's primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and us presence in chicago for north american enterprise clients. They also differ in team size (50–100 vs 2,000–3,000), minimum engagement ($20K vs $100K), and primary industries served (SaaS, Healthcare vs Healthcare, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.