DataRoot Labs vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
DataRoot Labs (4.5/5) edges ahead of ELEKS (3.7/5) overall. DataRoot Labs is the better choice for startups and lean teams that want direct access to senior ML engineers at boutique pricing without a large account layer.. 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.
DataRoot Labs vs ELEKS: head-to-head summary
| Criterion | DataRoot Labs | ELEKS |
|---|---|---|
| Founded | 2016 | 1991 |
| HQ | Kyiv, Ukraine | Tallinn, Estonia |
| Team size | 27–50 | 2,100+ |
| Rating | 4.5 / 5 | 3.7 / 5 |
| Best for | Startups and lean teams that want direct access to senior ML engineers at boutique pricing without a large account layer. | 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, PyTorch, Hugging Face | Python, AWS, Azure |
| Industries served | Startups (cross-industry), FinTech, Healthcare | Manufacturing, Healthcare, FinTech, Retail & E-commerce |
DataRoot Labs vs ELEKS: overview
DataRoot Labs
DataRoot Labs was founded in 2016 in Kyiv, Ukraine and has worked exclusively in AI and R&D since inception, building generative AI, machine learning, and data engineering systems for startups and enterprises. The company is notably lean — roughly 27 employees across three continents as of late 2025 — and also runs DataRoot University, a free ML and data engineering school with more than 6,000 graduates, which doubles as its own technical talent pipeline. Its small size and academic ties make it a lower-cost, highly specialized option relative to larger regional peers.
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: DataRoot Labs vs ELEKS
| Capability | DataRoot Labs | ELEKS |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: DataRoot Labs vs ELEKS
| Framework / platform | DataRoot Labs | ELEKS |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: DataRoot Labs vs ELEKS
| Criterion | DataRoot 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: DataRoot Labs vs ELEKS
| Dimension | DataRoot Labs | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Startups (cross-industry), FinTech, Healthcare | Manufacturing, Healthcare, FinTech |
| Best use cases | Startup with a limited AI budget needs senior-level generative AI or ML engineering without enterprise agency overhead., Company wants a lean, R&D-focused partner for an experimental ML feature rather than a large staffing engagement. | 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 |
DataRoot Labs vs ELEKS: pros and cons
| DataRoot Labs | |
|---|---|
| + | Team of roughly 27 keeps overhead low, which typically translates into lower blended rates than 500+ person firms. |
| + | Exclusive AI/R&D focus since 2016 with no general software-development sideline diluting expertise. |
| + | DataRoot University (6,000+ graduates) gives the firm a homegrown, vetted junior-to-mid talent pipeline instead of relying purely on open-market hiring. |
| + | Cost/accessibility standout among the researched companies for startups with constrained AI budgets. |
| - | 27–50 person team size limits capacity for multiple large concurrent enterprise engagements. |
| - | Small headcount means less bench depth if a key engineer rotates off a project mid-engagement. |
| - | Thinner public enterprise case-study base than larger Ukraine-headquartered peers like N-iX or ELEKS. |
| 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 DataRoot Labs?
DataRoot Labs is the right choice for startups and lean teams that want direct access to senior ML engineers at boutique pricing without a large account layer..
Runs its own free ML/data-engineering school (DataRoot University, 6,000+ graduates) as a self-built talent pipeline.. Minimum engagement starts at Not published. Works best with clients in Startups (cross-industry), FinTech, Healthcare.
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: DataRoot 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 | DataRoot Labs |
| Your budget is at the lower end | Compare: DataRoot Labs (Not published) vs ELEKS (Not published) |
| You need specialist depth in a specific vertical | ELEKS |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | ELEKS |
Use case fit: DataRoot Labs vs ELEKS
| Use case | DataRoot Labs fit | ELEKS fit | Winner |
|---|---|---|---|
| Startup with a limited AI budget needs senior-level generative AI or ML engineering without enterprise agency overhead. | Strong | Limited | DataRoot Labs |
| Company wants a lean, R&D-focused partner for an experimental ML feature rather than a large staffing engagement. | Strong | Strong | Both equally |
| Enterprise wants AI/ML delivery from one of the longest continuously operating engineering firms in the region. | Strong | Strong | Both equally |
| 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: DataRoot Labs vs ELEKS
DataRoot Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Runs its own free ML/data-engineering school (DataRoot University, 6,000+ graduates) as a self-built talent pipeline.. It is best for startups and lean teams that want direct access to senior ML engineers at boutique pricing without a large account layer..
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
DataRoot Labs vs ELEKS FAQ
Is DataRoot Labs better than ELEKS?
DataRoot Labs (4.5/5) scores higher overall, but "better" depends on your use case. DataRoot Labs is better for startups and lean teams that want direct access to senior ML engineers at boutique pricing without a large account layer.. ELEKS is better for enterprises wanting AI/ML delivery from one of the oldest continuously operating engineering firms in Central/Eastern Europe..
How do DataRoot Labs and ELEKS differ in pricing?
DataRoot 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: DataRoot Labs or ELEKS?
DataRoot 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 DataRoot Labs and ELEKS?
DataRoot Labs's primary differentiator is: runs its own free ml/data-engineering school (dataroot university, 6,000+ graduates) as a self-built talent pipeline.. 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 (27–50 vs 2,100+), minimum engagement (Not published vs Not published), and primary industries served (Startups (cross-industry), FinTech vs Manufacturing, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.