ELEKS vs Space-O Technologies: full comparison for 2026
Quick verdict
ELEKS (3.9/5) edges ahead of Space-O Technologies (3.7/5) overall. ELEKS is the better choice for enterprise clients, ML within full-service consulting. Space-O Technologies is the stronger option for Startups/SMBs, accessible ML in healthcare/e-commerce. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs Space-O Technologies: head-to-head summary
| Criterion | ELEKS | Space-O Technologies |
|---|---|---|
| Founded | 1991 | 2010 |
| HQ | Lviv, Ukraine | Ahmedabad, India |
| Team size | 2,000+ | 200–350 |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Primary differentiator | 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers | Budget-accessible ML for startups — low minimum engagement with India-based rate advantage |
| Pricing model | T&M, dedicated team | Fixed project, T&M |
| Min. engagement | $50K+ | $10K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, scikit-learn |
| Industries served | financial, healthcare, manufacturing, retail, logistics | healthcare, e-commerce, retail, saas, government |
ELEKS vs Space-O Technologies: 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.)
Space-O Technologies
Space-O Technologies was founded in 2010 and is headquartered in Ahmedabad, India. The company provides AI and ML development services for healthcare, e-commerce, retail, startup, and government clients, with delivery across web and mobile platforms. Space-O Technologies positions itself as an accessible ML development partner for clients seeking cost-effective solutions. (Founding year and vertical focus per Space-O Technologies official website.)
Services and capabilities: ELEKS vs Space-O Technologies
| Capability | ELEKS | Space-O Technologies |
|---|---|---|
| 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 Space-O Technologies
| Framework / platform | ELEKS | Space-O Technologies |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: ELEKS vs Space-O Technologies
| Criterion | ELEKS | Space-O Technologies |
|---|---|---|
| Minimum engagement | $50K+ | $10K+ |
| Engagement models | T&M, Dedicated team | Fixed project, T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ELEKS vs Space-O Technologies
| Dimension | ELEKS | Space-O Technologies |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, healthcare, manufacturing | healthcare, e-commerce, retail |
| Best use cases | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control | ML-powered mobile health app, E-commerce recommendation engine for startup |
| Typical project type | T&M | Fixed project |
ELEKS vs Space-O Technologies: 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 |
| Space-O Technologies | |
|---|---|
| + | Accessible minimum engagement ($10K+) — one of the lowest entry points in the category |
| + | Covers healthcare, e-commerce, and government verticals |
| + | Mobile and web ML integration alongside core model development |
| + | India-based rates for cost-sensitive projects |
| - | India-based delivery requires timezone management for real-time collaboration |
| - | Less depth in MLOps, data engineering, or large-scale data infrastructure |
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.
Who should choose Space-O Technologies?
A typical fit: ML-powered mobile health app.
Budget-accessible ML for startups — low minimum engagement with India-based rate advantage. Minimum engagement starts at $10K+. Works best with clients in healthcare, e-commerce, retail, saas, government.
Decision matrix: ELEKS vs Space-O Technologies
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Space-O Technologies |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | Space-O Technologies |
| You need specialist depth in a specific vertical | ELEKS |
| 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: ELEKS vs Space-O Technologies
| Use case | ELEKS fit | Space-O Technologies fit | Winner |
|---|---|---|---|
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Strong | Strong | Both equally |
| ML-powered mobile health app | Limited | Strong | Space-O Technologies |
| E-commerce recommendation engine for startup | Limited | Strong | Space-O Technologies |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ELEKS vs Space-O Technologies
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.
Space-O Technologies (3.7/5) is worth a look if you need e-commerce recommendation engine for startup. If your situation matches that, Space-O Technologies is a competitive option.
Related comparisons
ELEKS vs Space-O Technologies FAQ
Is ELEKS better than Space-O Technologies?
ELEKS (3.9/5) scores higher overall, but "better" depends on your use case. ELEKS's strongest advantage: 30+ years of enterprise delivery history — very low company risk. Space-O Technologies's strongest advantage: accessible minimum engagement ($10K+) — one of the lowest entry points in the category.
How do ELEKS and Space-O Technologies differ in pricing?
ELEKS uses t&m, dedicated team pricing with a minimum engagement of $50K+. Space-O Technologies uses fixed project, t&m pricing with a minimum engagement of $10K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ELEKS or Space-O Technologies?
Space-O Technologies 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 Space-O Technologies?
ELEKS's primary differentiator is: 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers. Space-O Technologies's primary differentiator is: budget-accessible ML for startups — low minimum engagement with India-based rate advantage. They also differ in team size (2,000+ vs 200–350), minimum engagement ($50K+ vs $10K+), and primary industries served (financial, healthcare vs healthcare, e-commerce).