ELEKS vs Turing: full comparison for 2026
Last updated: July 2026
Quick verdict
ELEKS (3.9/5) edges ahead of Turing (3.8/5) overall. ELEKS is the better choice for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. Turing is the stronger option for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs Turing: head-to-head summary
| Criterion | ELEKS | Turing |
|---|---|---|
| Founded | 1991 | 2018 |
| HQ | Lviv, Ukraine | Palo Alto, CA |
| Team size | 2,000+ | 6,859 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity | Companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension |
| Pricing model | T&M, dedicated team | Dedicated team, T&M |
| Min. engagement | $50K+ | Not disclosed |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | financial, healthcare, manufacturing, retail, logistics | saas, fintech, healthcare, retail, financial |
ELEKS vs Turing: overview
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.)
Turing
Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California. The company operates as an AI-powered talent marketplace and technology services firm with a network of 4M+ vetted software engineers, data scientists, and STEM experts. Turing has raised $247M at a $2.2B valuation from WestBridge Capital and Foundation Capital, and serves 1,000+ clients including Fortune 500 companies and governments. Note: Turing is primarily a talent marketplace — clients provide direction; Turing supplies vetted engineers rather than owning ML delivery outcomes. (Funding, valuation, and client count per Turing official website and Crunchbase.)
Services and capabilities: ELEKS vs Turing
| Capability | ELEKS | Turing |
|---|---|---|
| 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: ELEKS vs Turing
| Framework / platform | ELEKS | Turing |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: ELEKS vs Turing
| Criterion | ELEKS | Turing |
|---|---|---|
| Minimum engagement | $50K+ | Not disclosed |
| Engagement models | T&M, Dedicated team | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: ELEKS vs Turing
| Dimension | ELEKS | Turing |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, healthcare, manufacturing | saas, fintech, healthcare |
| Best use cases | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control | Staff augmentation for ML engineering team, Rapid placement of vetted data scientists |
| Typical project type | T&M | T&M |
ELEKS vs Turing: pros and cons
| 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 |
| Turing | |
|---|---|
| + | 4M+ AI-vetted engineers — largest pre-screened ML talent pool in the category |
| + | $2.2B valuation with $247M raised — stable platform with institutional backing |
| + | 1,000+ clients including Fortune 500 and government organisations |
| + | Fastest path to pre-screened ML engineer placement |
| - | Talent marketplace model — Turing supplies engineers; client provides direction and owns outcomes |
| - | Less suited to projects needing a delivery firm with end-to-end accountability |
| - | Delivery quality depends on client PM capability — not owned by Turing |
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.
Who should choose Turing?
Turing is the right choice for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.
AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation. Minimum engagement starts at Not disclosed. Works best with clients in saas, fintech, healthcare, retail, financial.
Decision matrix: ELEKS vs Turing
| 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 | ELEKS |
| Your budget is at the lower end | Compare: ELEKS ($50K+) vs Turing (Not disclosed) |
| You need specialist depth in a specific vertical | ELEKS |
| You need staff augmentation or team extension | Turing |
| You need consulting before committing to a build | ELEKS |
Use case fit: ELEKS vs Turing
| Use case | ELEKS fit | Turing fit | Winner |
|---|---|---|---|
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Strong | Limited | ELEKS |
| Staff augmentation for ML engineering team | Limited | Strong | Turing |
| Rapid placement of vetted data scientists | Limited | Strong | Turing |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Turing |
Verdict: ELEKS vs Turing
ELEKS (3.9/5) is the stronger overall choice for most Machine Learning projects. 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers. It is best for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
Turing (3.8/5) is the better choice when companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. If your situation matches those criteria, Turing is a competitive option.
Related comparisons
ELEKS vs Turing FAQ
Is ELEKS better than Turing?
ELEKS (3.9/5) scores higher overall, but "better" depends on your use case. ELEKS is better for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. Turing is better for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.
How do ELEKS and Turing differ in pricing?
ELEKS uses t&m, dedicated team pricing with a minimum engagement of $50K+. Turing uses dedicated team, t&m pricing with a minimum engagement of Not disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ELEKS or Turing?
Turing 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 ELEKS and Turing?
ELEKS's primary differentiator is: 30+ years of enterprise software delivery — ml within a stable, large-org structure for risk-averse buyers. Turing's primary differentiator is: ai-vetted 4m+ developer network — fastest route to pre-screened ml talent for staff augmentation. They also differ in team size (2,000+ vs 6,859), minimum engagement ($50K+ vs Not disclosed), and primary industries served (financial, healthcare vs saas, fintech).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.