Space-O Technologies vs Belitsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
Space-O Technologies (4.0/5) edges ahead of Belitsoft (3.8/5) overall. Space-O Technologies is the better choice for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement.. Belitsoft is the stronger option for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.. The right choice depends on your project size, budget, and required tech stack.
Space-O Technologies vs Belitsoft: head-to-head summary
| Criterion | Space-O Technologies | Belitsoft |
|---|---|---|
| Founded | 2010 | 2004 |
| HQ | Ahmedabad, India | Warsaw, Poland |
| Team size | 140+ | 400+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | Companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement. | Companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth. |
| Pricing model | Project-based, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | TensorFlow, Keras, OpenAI API | Python, .NET, AWS |
| Industries served | Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality | Healthcare, FinTech, SaaS (cross-industry) |
Space-O Technologies vs Belitsoft: overview
Space-O Technologies
Space-O Technologies was founded in 2010 by Rakeshkumar Patel and Atit Tusharbhai Purani, growing to roughly 140 full-stack engineers and AI specialists with offices in the US, Canada, and India. The company built its reputation on mobile app development (including early on-demand apps and EdTech products) before extending into machine learning on both neural and non-neural networks, working with frameworks including Keras, Caffe, and TensorFlow, plus more recent integration of OpenAI's GPT, Whisper, and LangChain. Its origin as a mobile-app shop means ML is a newer, added capability rather than the company's founding focus.
Belitsoft
Belitsoft has operated since 2004 and is headquartered in Warsaw, Poland, with more than 400 software developers, testers, project managers, and DevOps staff distributed between Poland, Latvia, and Georgia. The firm's AI/ML specialists design, train, and fine-tune models, while its software engineers integrate those models into client products; for enterprise and Fortune 500 clients, Belitsoft supplies larger teams including data engineers and MLOps engineers for deployment and monitoring. Its core strength — 20+ years of SaaS development experience — makes it a strong integration partner, though its AI-specific brand recognition is thinner than firms that were AI-native from founding.
Services and capabilities: Space-O Technologies vs Belitsoft
| Capability | Space-O Technologies | Belitsoft |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Space-O Technologies vs Belitsoft
| Framework / platform | Space-O Technologies | Belitsoft |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Space-O Technologies vs Belitsoft
| Criterion | Space-O Technologies | Belitsoft |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team, Fixed project | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Space-O Technologies vs Belitsoft
| Dimension | Space-O Technologies | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, EdTech, Retail & E-commerce | Healthcare, FinTech, SaaS (cross-industry) |
| Best use cases | Company needs an ML feature (recommendation, prediction, chatbot) built directly into a new or existing mobile app., EdTech or travel company wants a single vendor for both application development and embedded AI features. | B2B SaaS company needs an AI model integrated into an existing product by a firm with deep SaaS engineering history., Enterprise or Fortune 500 client needs a scalable team including dedicated MLOps and data engineering roles. |
| Typical project type | Project-based | Dedicated team |
Space-O Technologies vs Belitsoft: pros and cons
| Space-O Technologies | |
|---|---|
| + | 15 years of product-delivery history (since 2010), with a track record that includes early on-demand and EdTech app development. |
| + | 300+ delivered software solutions and 1,200+ clients gives it a broad delivery pattern library. |
| + | Integrates modern generative AI tooling (GPT, Whisper, LangChain) alongside classical ML frameworks (Keras, Caffe, TensorFlow). |
| + | Offices across US, Canada, and India provide time-zone coverage for North American clients. |
| - | Company's core identity and longest track record is in mobile app development, not ML — AI/ML is a newer, extended service line. |
| - | 140-person team spread across app development, AI development, and other services means ML-specific bench depth is smaller than the total headcount suggests. |
| Belitsoft | |
|---|---|
| + | 20 years of continuous SaaS development history (since 2004) gives it strong AI-into-product integration experience. |
| + | Previously featured in Clutch's annual Top 30 enterprise software development firms list. |
| + | Can scale team composition for enterprise/Fortune 500 clients, adding dedicated data engineers and MLOps engineers as needed. |
| + | 400+ distributed staff across Poland, Latvia, and Georgia provides meaningful delivery capacity. |
| - | Company's core brand identity is SaaS/software development rather than AI specifically — AI/ML is an applied capability layered onto that base. |
| - | Less publicly documented AI-specific case-study detail than firms whose primary marketing focus is AI/ML. |
Who should choose Space-O Technologies?
Space-O Technologies is the right choice for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement..
15 years of mobile/software product delivery experience (since 2010) with ML added as a production-application capability.. Minimum engagement starts at Not published. Works best with clients in Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality.
Who should choose Belitsoft?
Belitsoft is the right choice for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth..
20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS.. Minimum engagement starts at Not published. Works best with clients in Healthcare, FinTech, SaaS (cross-industry).
Decision matrix: Space-O Technologies vs Belitsoft
| 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 | Space-O Technologies |
| Your budget is at the lower end | Compare: Space-O Technologies (Not published) vs Belitsoft (Not published) |
| You need specialist depth in a specific vertical | Space-O Technologies |
| You need production MLOps support after model launch | Belitsoft |
| You need consulting before committing to a build | Belitsoft |
Use case fit: Space-O Technologies vs Belitsoft
| Use case | Space-O Technologies fit | Belitsoft fit | Winner |
|---|---|---|---|
| Company needs an ML feature (recommendation, prediction, chatbot) built directly into a new or existing mobile app. | Strong | Strong | Both equally |
| EdTech or travel company wants a single vendor for both application development and embedded AI features. | Strong | Limited | Space-O Technologies |
| B2B SaaS company needs an AI model integrated into an existing product by a firm with deep SaaS engineering history. | Limited | Strong | Belitsoft |
| Enterprise or Fortune 500 client needs a scalable team including dedicated MLOps and data engineering roles. | Limited | Strong | Belitsoft |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Space-O Technologies vs Belitsoft
Space-O Technologies (4.0/5) is the stronger overall choice for most Machine Learning Development projects. 15 years of mobile/software product delivery experience (since 2010) with ML added as a production-application capability.. It is best for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement..
Belitsoft (3.8/5) is the better choice when companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.. If your situation matches those criteria, Belitsoft is a competitive option.
Related comparisons
Space-O Technologies vs Belitsoft FAQ
Is Space-O Technologies better than Belitsoft?
Space-O Technologies (4.0/5) scores higher overall, but "better" depends on your use case. Space-O Technologies is better for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement.. Belitsoft is better for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth..
How do Space-O Technologies and Belitsoft differ in pricing?
Space-O Technologies uses project-based, dedicated team pricing with a minimum engagement of Not published. Belitsoft uses time & materials, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Space-O Technologies or Belitsoft?
Belitsoft 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 Space-O Technologies and Belitsoft?
Space-O Technologies's primary differentiator is: 15 years of mobile/software product delivery experience (since 2010) with ml added as a production-application capability.. Belitsoft's primary differentiator is: 20+ years of dedicated saas product development experience, applied specifically to ai model integration for b2b saas.. They also differ in team size (140+ vs 400+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, EdTech vs Healthcare, FinTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.