DataRoot Labs vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
DataRoot Labs (4.6/5) edges ahead of ELEKS (4.1/5) overall. DataRoot Labs is the better choice for startups and mid-market companies wanting a senior, AI-only team for LLM fine-tuning, computer vision, or reinforcement-learning projects.. ELEKS is the stronger option for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. 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 (engineering hub: Lviv, Ukraine) |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.6 / 5 | 4.1 / 5 |
| Best for | Startups and mid-market companies wanting a senior, AI-only team for LLM fine-tuning, computer vision, or reinforcement-learning projects. | Enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor. |
| Pricing model | Time & Material, project-based | Time & Material, Fixed project |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Cloud ML platforms (AWS/Azure/GCP), Data engineering tooling |
| Industries served | E-commerce, Healthcare, Enterprise software, Robotics | Financial services, Healthcare, Manufacturing, Insurance |
DataRoot Labs vs ELEKS: overview
DataRoot Labs
DataRoot Labs is a Ukraine-founded machine learning consultancy established in 2016 that has remained AI/ML-only since inception, in contrast to firms that added AI as a service line later. The company offers AI consulting, custom model development and training, solution architecture, and deployment/monitoring, with stated specializations in large language model fine-tuning, computer vision, reinforcement learning, and vector databases. Publicly named clients include OLX, IBM, Databand, and Moxie (Embodied). The company also runs DataRoot University, a training program it states has produced over 6,000 machine learning graduates (per company website; independently unverifiable), which functions as a talent pipeline and community credibility signal.
ELEKS
ELEKS is a long-running European software engineering company founded in 1991, with corporate presence in Tallinn, Estonia and its largest engineering hub in Lviv, Ukraine, alongside additional offices across Europe and North America. The company reports more than 2,000 employees and operates a dedicated data science and AI practice layered onto its broader enterprise software engineering services. Its history predates the modern AI/ML consulting wave by roughly three decades, giving it an unusually long operating track record compared to most peers in this list.
Services and capabilities: DataRoot Labs vs ELEKS
| Capability | DataRoot Labs | ELEKS |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✓ | ✗ |
| MLOps pipeline | ✗ | ✓ |
| Model deployment & serving | ✓ | ✗ |
| Data engineering for ML | ✗ | ✓ |
| ML infrastructure management | ✗ | ✗ |
| Computer vision | ✓ | ✗ |
| NLP & LLM development | ✓ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✗ | ✗ |
Tech stack comparison: DataRoot Labs vs ELEKS
| Framework / platform | DataRoot Labs | ELEKS |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | ✓ |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: DataRoot Labs vs ELEKS
| Criterion | DataRoot Labs | ELEKS |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Time & Material, Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | 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 | E-commerce, Healthcare, Enterprise software | Financial services, Healthcare, Manufacturing |
| Best use cases | Fine-tuning an open-source LLM for a domain-specific internal tool, Building a computer vision model for retail or logistics quality inspection | Running an enterprise-scale data science initiative alongside a broader software modernization program, Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components |
| Typical project type | Time & Material | Time & Material |
DataRoot Labs vs ELEKS: pros and cons
| DataRoot Labs | |
|---|---|
| + | Clutch rating of 4.9/5 across 23 verified reviews, among the highest in this comparison set. |
| + | Named, checkable clients (OLX, IBM, Databand, Moxie) rather than anonymized case studies only. |
| + | Full IP transfer to clients is cited as standard practice in reviews. |
| + | AI-only focus since 2016 avoids the generalist dilution seen in broader software houses. |
| - | Small team (51–200) constrains capacity for large, multi-team enterprise rollouts. |
| - | Delivery is concentrated in Ukraine, which some risk-averse enterprise buyers may flag for business-continuity planning. |
| - | Public tech-stack disclosure is limited beyond high-level specialization claims. |
| - | Minimum engagement of $10K+ is accessible, but larger programs will need custom scoping not published on the site. |
| ELEKS | |
|---|---|
| + | Over three decades of continuous operation, unusually long for this category. |
| + | Large engineering bench (2,000+ employees) supports substantial delivery capacity. |
| + | Data science practice is embedded within a mature enterprise software engineering organization. |
| + | Multi-region European and North American office footprint. |
| - | AI/ML is one practice area within a much broader enterprise software portfolio, not the company's primary specialization. |
| - | Specific, named ML case studies with quantified outcomes are limited in available public sources. |
| - | Pricing minimums are not published. |
| - | Long operating history does not necessarily translate into deep modern ML/LLM specialization relative to newer, AI-first boutiques. |
Who should choose DataRoot Labs?
DataRoot Labs is the right choice for startups and mid-market companies wanting a senior, AI-only team for LLM fine-tuning, computer vision, or reinforcement-learning projects..
Has never diversified beyond AI/ML services, and backs its delivery bench with an in-house ML training program (DataRoot University).. Minimum engagement starts at $10,000+. Works best with clients in E-commerce, Healthcare, Enterprise software, Robotics.
Who should choose ELEKS?
ELEKS is the right choice for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades.. Minimum engagement starts at Not published. Works best with clients in Financial services, Healthcare, Manufacturing, Insurance.
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 | Compare: DataRoot Labs ($10,000+) vs ELEKS (Not published) |
| 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 | Both may offer discovery engagements |
Use case fit: DataRoot Labs vs ELEKS
| Use case | DataRoot Labs fit | ELEKS fit | Winner |
|---|---|---|---|
| Fine-tuning an open-source LLM for a domain-specific internal tool | Strong | Limited | DataRoot Labs |
| Building a computer vision model for retail or logistics quality inspection | Strong | Strong | Both equally |
| Running an enterprise-scale data science initiative alongside a broader software modernization program | Limited | Strong | ELEKS |
| Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: DataRoot Labs vs ELEKS
DataRoot Labs (4.6/5) is the stronger overall choice for most ML Model Development projects. Has never diversified beyond AI/ML services, and backs its delivery bench with an in-house ML training program (DataRoot University).. It is best for startups and mid-market companies wanting a senior, AI-only team for LLM fine-tuning, computer vision, or reinforcement-learning projects..
ELEKS (4.1/5) is the better choice when enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. 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 (4.6/5) scores higher overall, but "better" depends on your use case. DataRoot Labs is better for startups and mid-market companies wanting a senior, AI-only team for LLM fine-tuning, computer vision, or reinforcement-learning projects.. ELEKS is better for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
How do DataRoot Labs and ELEKS differ in pricing?
DataRoot Labs uses time & material, project-based pricing with a minimum engagement of $10,000+. ELEKS uses time & material, fixed project 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?
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: has never diversified beyond ai/ml services, and backs its delivery bench with an in-house ml training program (dataroot university).. ELEKS's primary differentiator is: one of the longest operating histories (since 1991) among firms researched for this list, predating the ai consulting boom by decades.. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement ($10,000+ vs Not published), and primary industries served (E-commerce, Healthcare vs Financial services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.