Scopic vs ELEKS: full comparison for 2026
Quick verdict
Scopic (4.2/5) edges ahead of ELEKS (3.9/5) overall. Scopic is the better choice for Healthcare, fintech enterprises — genuinely custom ML. ELEKS is the stronger option for enterprise clients, ML within full-service consulting. The right choice depends on your project size, budget, and required tech stack.
Scopic vs ELEKS: head-to-head summary
| Criterion | Scopic | ELEKS |
|---|---|---|
| Founded | 2006 | 1991 |
| HQ | Marlborough, MA | Lviv, Ukraine |
| Team size | 250+ | 2,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | 20-year track record of custom ML engineering across 1,000+ projects — no API-wrapper shortcuts | 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers |
| Pricing model | Fixed project, T&M | T&M, dedicated team |
| Min. engagement | $25K+ | $50K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | healthcare, fintech, manufacturing, transportation, retail | financial, healthcare, manufacturing, retail, logistics |
Scopic vs ELEKS: overview
Scopic
Scopic was founded in 2006 and is headquartered in Marlborough, Massachusetts. The company has 250+ specialists distributed across six continents and has completed 1,000+ projects for healthcare, fintech, and enterprise clients, including machine learning, natural language processing, computer vision, and predictive analytics systems. Scopic distinguishes itself with a track record of engineering genuinely custom ML systems — not API wrappers — using TensorFlow, PyTorch, and computer vision pipelines. (Project count and founding year per Scopic official website.)
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: Scopic vs ELEKS
| Capability | Scopic | 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: Scopic vs ELEKS
| Framework / platform | Scopic | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Scopic vs ELEKS
| Criterion | Scopic | ELEKS |
|---|---|---|
| Minimum engagement | $25K+ | $50K+ |
| Engagement models | Fixed project, T&M | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Scopic vs ELEKS
| Dimension | Scopic | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | healthcare, fintech, manufacturing | financial, healthcare, manufacturing |
| Best use cases | Computer vision quality inspection system, Medical imaging ML classification | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control |
| Typical project type | Fixed project | T&M |
Scopic vs ELEKS: pros and cons
| Scopic | |
|---|---|
| + | 1,000+ delivered projects with verifiable case studies |
| + | Covers full ML spectrum: NLP, computer vision, predictive analytics |
| + | Custom ML engineering only — no API-wrapper work |
| + | 20-year delivery history reduces engagement risk |
| + | Distributed team across 6 continents provides broad timezone coverage |
| - | US headquarters with offshore delivery — requires clear async communication process |
| - | Large project portfolio means higher selectivity on smaller or shorter engagements |
| 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 Scopic?
A typical fit: computer vision quality inspection system.
20-year track record of custom ML engineering across 1,000+ projects — no API-wrapper shortcuts. Minimum engagement starts at $25K+. Works best with clients in healthcare, fintech, manufacturing, transportation, retail.
Who should choose ELEKS?
A typical fit: ML integration into enterprise ERP or CRM.
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: Scopic vs ELEKS
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Scopic |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | Scopic |
| You need specialist depth in a specific vertical | Scopic |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Scopic |
Use case fit: Scopic vs ELEKS
| Use case | Scopic fit | ELEKS fit | Winner |
|---|---|---|---|
| Computer vision quality inspection system | Strong | Strong | Both equally |
| Medical imaging ML classification | Strong | Limited | Scopic |
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Scopic vs ELEKS
Scopic (4.2/5) is the stronger overall choice for most Machine Learning projects. 20-year track record of custom ML engineering across 1,000+ projects — no API-wrapper shortcuts.
ELEKS (3.9/5) is worth a look if you need computer vision for manufacturing quality control. If your situation matches that, ELEKS is a competitive option.
Related comparisons
Scopic vs ELEKS FAQ
Is Scopic better than ELEKS?
Scopic (4.2/5) scores higher overall, but "better" depends on your use case. Scopic's strongest advantage: 1,000+ delivered projects with verifiable case studies. ELEKS's strongest advantage: 30+ years of enterprise delivery history — very low company risk.
How do Scopic and ELEKS differ in pricing?
Scopic uses fixed project, t&m pricing with a minimum engagement of $25K+. 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: Scopic 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 agency before shortlisting.
What are the main differences between Scopic and ELEKS?
Scopic's primary differentiator is: 20-year track record of custom ML engineering across 1,000+ projects — no API-wrapper shortcuts. 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 (250+ vs 2,000+), minimum engagement ($25K+ vs $50K+), and primary industries served (healthcare, fintech vs financial, healthcare).