Keyrus vs Space-O Technologies: full comparison for 2026
Last updated: July 2026
Quick verdict
Keyrus (3.8/5) edges ahead of Space-O Technologies (3.7/5) overall. Keyrus is the better choice for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. Space-O Technologies is the stronger option for startups and SMBs seeking accessible, cost-effective ML development in healthcare, e-commerce, or government. The right choice depends on your project size, budget, and required tech stack.
Keyrus vs Space-O Technologies: head-to-head summary
| Criterion | Keyrus | Space-O Technologies |
|---|---|---|
| Founded | 2000 | 2010 |
| HQ | Paris, France | Ahmedabad, India |
| Team size | 3,500+ | 200–350 |
| Rating | 3.8 / 5 | 3.7 / 5 |
| Best for | International enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience | Startups and SMBs seeking accessible, cost-effective ML development in healthcare, e-commerce, or government |
| Pricing model | T&M, retainer | Fixed project, T&M |
| Min. engagement | $50K+ | $10K+ |
| Primary tech stack | Python, Tableau, Power BI | Python, TensorFlow, scikit-learn |
| Industries served | financial, retail, healthcare, manufacturing, media | healthcare, e-commerce, retail, saas, government |
Keyrus vs Space-O Technologies: overview
Keyrus
Keyrus is an international consulting group founded in 2000, headquartered in Paris, France, and operating in over 20 countries with 3,500+ professionals. The company positions itself at the intersection of business, data, and AI — helping clients move from experimental AI to industrial-grade ML systems in production. Services span data strategy, BI, analytics, AI testing, and ML deployment. (Employee count and global footprint per Keyrus official website.)
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: Keyrus vs Space-O Technologies
| Capability | Keyrus | 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: Keyrus vs Space-O Technologies
| Framework / platform | Keyrus | Space-O Technologies |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Keyrus vs Space-O Technologies
| Criterion | Keyrus | Space-O Technologies |
|---|---|---|
| Minimum engagement | $50K+ | $10K+ |
| Engagement models | T&M, Retainer, Dedicated team | Fixed project, T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Keyrus vs Space-O Technologies
| Dimension | Keyrus | Space-O Technologies |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, retail, healthcare | healthcare, e-commerce, retail |
| Best use cases | Industrial AI deployment at enterprise scale, Analytics and ML platform for financial services | ML-powered mobile health app, E-commerce recommendation engine for startup |
| Typical project type | T&M | Fixed project |
Keyrus vs Space-O Technologies: pros and cons
| Keyrus | |
|---|---|
| + | Global footprint: 20+ countries, 3,500+ professionals |
| + | Industrial-AI focus — moves clients from PoC to production scale |
| + | Strong analytics and BI alongside ML for full data stack coverage |
| + | AI testing and validation capability |
| - | Large-firm pricing not suited to startup or SMB budgets |
| - | AI is one offering within broader data consulting — not ML-first |
| 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 Keyrus?
Keyrus is the right choice for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.
From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations. Minimum engagement starts at $50K+. Works best with clients in financial, retail, healthcare, manufacturing, media.
Who should choose Space-O Technologies?
Space-O Technologies is the right choice for startups and SMBs seeking accessible, cost-effective ML development in healthcare, e-commerce, or government.
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: Keyrus 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 | Keyrus |
| Your budget is at the lower end | Space-O Technologies |
| You need specialist depth in a specific vertical | Keyrus |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Keyrus |
Use case fit: Keyrus vs Space-O Technologies
| Use case | Keyrus fit | Space-O Technologies fit | Winner |
|---|---|---|---|
| Industrial AI deployment at enterprise scale | Strong | Limited | Keyrus |
| Analytics and ML platform for financial services | 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: Keyrus vs Space-O Technologies
Keyrus (3.8/5) is the stronger overall choice for most Machine Learning projects. From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations. It is best for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.
Space-O Technologies (3.7/5) is the better choice when startups and SMBs seeking accessible, cost-effective ML development in healthcare, e-commerce, or government. If your situation matches those criteria, Space-O Technologies is a competitive option.
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Keyrus vs Space-O Technologies FAQ
Is Keyrus better than Space-O Technologies?
Keyrus (3.8/5) scores higher overall, but "better" depends on your use case. Keyrus is better for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. Space-O Technologies is better for startups and SMBs seeking accessible, cost-effective ML development in healthcare, e-commerce, or government.
How do Keyrus and Space-O Technologies differ in pricing?
Keyrus uses t&m, retainer 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: Keyrus 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 Keyrus and Space-O Technologies?
Keyrus's primary differentiator is: from experimental ai to industrial ai — consulting group specialising in productionising ml for large organisations. 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 (3,500+ vs 200–350), minimum engagement ($50K+ vs $10K+), and primary industries served (financial, retail vs healthcare, e-commerce).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.