DATAFOREST vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
DATAFOREST (4.0/5) edges ahead of ELEKS (3.9/5) overall. DATAFOREST is the better choice for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings. ELEKS is the stronger option for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. The right choice depends on your project size, budget, and required tech stack.
DATAFOREST vs ELEKS: head-to-head summary
| Criterion | DATAFOREST | ELEKS |
|---|---|---|
| Founded | 2017 | 1991 |
| HQ | Kyiv, Ukraine | Lviv, Ukraine |
| Team size | 50–100 | 2,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | US and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings | Enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity |
| Pricing model | Fixed project, T&M | T&M, dedicated team |
| Min. engagement | $8K+ | $50K+ |
| Primary tech stack | Python, Apache Spark, AWS | Python, TensorFlow, PyTorch |
| Industries served | saas, fintech, retail, healthcare, logistics | financial, healthcare, manufacturing, retail, logistics |
DATAFOREST vs ELEKS: overview
DATAFOREST
DATAFOREST was founded in 2017 and is headquartered in Kyiv, Ukraine. The company specialises in custom AI software development, data engineering, and data lake architecture, with projects ranging from $8,000 to $460,000 (per Clutch profile data). DATAFOREST holds a 4.9-star Clutch rating across 27 verified reviews and an A+ DesignRush rating, with clients primarily in the US and EU. Services include ETL pipelines, data lake build-outs, predictive analytics, and ML model development. (Project range and ratings from Clutch and DesignRush verified profiles.)
ELEKS
ELEKS was established in 1991 and is headquartered in Lviv, Ukraine, with offices across Europe and North America. The company has 2,000+ engineers and delivers technology consulting, AI/ML services, and enterprise software for Fortune 500 clients globally. ML services include predictive analytics, computer vision, NLP, and intelligent automation. ELEKS celebrated its 30th anniversary in 2021. (Founding year and team size per ELEKS official website and KyivPost article.)
Services and capabilities: DATAFOREST vs ELEKS
| Capability | DATAFOREST | ELEKS |
|---|---|---|
| Custom ML build | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP / LLM | ✗ | ✓ |
| Predictive analytics | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✗ | ✓ |
Tech stack comparison: DATAFOREST vs ELEKS
| Framework / platform | DATAFOREST | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: DATAFOREST vs ELEKS
| Criterion | DATAFOREST | ELEKS |
|---|---|---|
| Minimum engagement | $8K+ | $50K+ |
| Engagement models | Fixed project, T&M | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DATAFOREST vs ELEKS
| Dimension | DATAFOREST | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | saas, fintech, retail | financial, healthcare, manufacturing |
| Best use cases | Data lake architecture and build-out, ETL pipeline for analytics platform | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control |
| Typical project type | Fixed project | T&M |
DATAFOREST vs ELEKS: pros and cons
| DATAFOREST | |
|---|---|
| + | 4.9-star Clutch rating across 27 verified client reviews |
| + | Projects start from $8K — one of the most accessible entry points in the category |
| + | Strong data engineering: data lakes, ETL pipelines, Airflow orchestration |
| + | Transparent project scoping and pricing |
| + | A+ DesignRush rating |
| - | Smaller team limits very large concurrent programmes |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| ELEKS | |
|---|---|
| + | 30+ years of enterprise delivery history — very low company risk |
| + | 2,000+ engineers across multiple disciplines |
| + | Proven Fortune 500 delivery capability across multiple verticals |
| + | Wide industry coverage including manufacturing and financial services |
| - | ML practice is secondary to broader software engineering — not ML-first |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| - | Less agile than boutique ML specialists for short exploratory projects |
Who should choose DATAFOREST?
DATAFOREST is the right choice for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings.
4.9-star Clutch rating across 27 verified reviews — one of the highest-rated AI firms in Eastern Europe. Minimum engagement starts at $8K+. Works best with clients in saas, fintech, retail, healthcare, logistics.
Who should choose ELEKS?
ELEKS is the right choice for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, retail, logistics.
Decision matrix: DATAFOREST vs ELEKS
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DATAFOREST |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | DATAFOREST |
| You need specialist depth in a specific vertical | DATAFOREST |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | DATAFOREST |
Use case fit: DATAFOREST vs ELEKS
| Use case | DATAFOREST fit | ELEKS fit | Winner |
|---|---|---|---|
| Data lake architecture and build-out | Strong | Limited | DATAFOREST |
| ETL pipeline for analytics platform | Strong | Limited | DATAFOREST |
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DATAFOREST vs ELEKS
DATAFOREST (4.0/5) is the stronger overall choice for most Machine Learning projects. 4.9-star Clutch rating across 27 verified reviews — one of the highest-rated AI firms in Eastern Europe. It is best for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings.
ELEKS (3.9/5) is the better choice when enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
DATAFOREST vs ELEKS FAQ
Is DATAFOREST better than ELEKS?
DATAFOREST (4.0/5) scores higher overall, but "better" depends on your use case. DATAFOREST is better for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings. ELEKS is better for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
How do DATAFOREST and ELEKS differ in pricing?
DATAFOREST uses fixed project, t&m pricing with a minimum engagement of $8K+. ELEKS uses t&m, dedicated team pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DATAFOREST or ELEKS?
DATAFOREST is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between DATAFOREST and ELEKS?
DATAFOREST's primary differentiator is: 4.9-star clutch rating across 27 verified reviews — one of the highest-rated ai firms in eastern europe. ELEKS's primary differentiator is: 30+ years of enterprise software delivery — ml within a stable, large-org structure for risk-averse buyers. They also differ in team size (50–100 vs 2,000+), minimum engagement ($8K+ vs $50K+), and primary industries served (saas, fintech vs financial, healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.