Scopic vs ELEKS: full comparison for 2026
Quick verdict
Scopic (3.8/5) edges ahead of ELEKS (3.6/5) overall. Scopic is the better choice for companies wanting senior ML engineers, distributed, competitive rates. ELEKS is the stronger option for fortune 500 enterprises, established European ML partner. 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, USA (distributed) | Lviv, Ukraine / Chicago, IL, USA |
| Team size | 1,000–2,000 | 2,000–3,000 |
| Rating | 3.8 / 5 | 3.6 / 5 |
| Primary differentiator | 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk | 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients |
| Pricing model | Dedicated team, T&M, fixed project | Dedicated team, T&M, fixed project |
| Min. engagement | $30K | $100K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Scikit-learn, TensorFlow |
| Industries served | Healthcare, Manufacturing, Fintech, Logistics, SaaS | Healthcare, Manufacturing, Fintech, Retail, Logistics |
Scopic vs ELEKS: overview
Scopic
Scopic is a globally distributed software development company headquartered in Marlborough, Massachusetts, with a remote-first team of 1,000+ engineers spanning 50+ countries. Founded in 2006, Scopic builds custom ML systems using TensorFlow, neural networks, and PyTorch for clients in transportation, healthcare, manufacturing, and finance. The distributed model keeps overhead low while providing senior engineering talent across multiple time zones. Scopic has published ML case studies in medical imaging, predictive maintenance, and financial risk modelling.
ELEKS
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
Services and capabilities: Scopic vs ELEKS
| Capability | Scopic | ELEKS |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✗ | ✗ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✗ | ✗ |
| ML consulting & strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Scopic vs ELEKS
| Framework / platform | Scopic | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Scopic vs ELEKS
| Criterion | Scopic | ELEKS |
|---|---|---|
| Minimum engagement | $30K | $100K |
| Engagement models | Dedicated team, Time & materials, Fixed project | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Scopic vs ELEKS
| Dimension | Scopic | ELEKS |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare, Manufacturing, Fintech | Healthcare, Manufacturing, Fintech |
| Best use cases | Medical imaging analysis using CNN-based deep learning models, Predictive maintenance systems for manufacturing equipment | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling |
| Typical project type | Dedicated team | Dedicated team |
Scopic vs ELEKS: pros and cons
| Scopic | |
|---|---|
| + | 20-year track record with 1,000+ distributed engineers provides delivery confidence |
| + | Published ML case studies in healthcare imaging, manufacturing maintenance, and financial risk |
| + | Remote-first model provides access to senior talent at competitive rates |
| + | Wide range of ML use cases covered across multiple industries |
| + | Flexible engagement: dedicated team, T&M, or fixed project scope |
| - | Fully distributed model requires strong async communication discipline from client teams |
| - | ML is one of several practice areas — not a pure-play AI specialist firm |
| - | Less emphasis on cutting-edge deep learning research than boutique ML-only firms |
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
Who should choose Scopic?
A typical fit: medical imaging analysis using CNN-based deep learning models.
20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk. Minimum engagement starts at $30K. Works best with clients in Healthcare, Manufacturing, Fintech, Logistics, SaaS.
Who should choose ELEKS?
A typical fit: market forecasting ML for retail sales planning and inventory optimisation.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, 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 | Scopic |
| 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 | ELEKS |
Use case fit: Scopic vs ELEKS
| Use case | Scopic fit | ELEKS fit | Winner |
|---|---|---|---|
| Medical imaging analysis using CNN-based deep learning models | Strong | Limited | Scopic |
| Predictive maintenance systems for manufacturing equipment | Strong | Limited | Scopic |
| Market forecasting ML for retail sales planning and inventory optimisation | Limited | Strong | ELEKS |
| Demand prediction for manufacturing capacity planning and scheduling | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Scopic vs ELEKS
Scopic (3.8/5) is the stronger overall choice for most Machine Learning Development projects. 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk.
ELEKS (3.6/5) is worth a look if you need demand prediction for manufacturing capacity planning and scheduling. If your situation matches that, ELEKS is a competitive option.
Related comparisons
Scopic vs ELEKS FAQ
Is Scopic better than ELEKS?
Scopic (3.8/5) scores higher overall, but "better" depends on your use case. Scopic's strongest advantage: 20-year track record with 1,000+ distributed engineers provides delivery confidence. ELEKS's strongest advantage: 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients.
How do Scopic and ELEKS differ in pricing?
Scopic uses dedicated team, t&m, fixed project pricing with a minimum engagement of $30K. ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. 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 company before shortlisting.
What are the main differences between Scopic and ELEKS?
Scopic's primary differentiator is: 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk. ELEKS's primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. They also differ in team size (1,000–2,000 vs 2,000–3,000), minimum engagement ($30K vs $100K), and primary industries served (Healthcare, Manufacturing vs Healthcare, Manufacturing).