Space-O Technologies
15-year mobile-app development firm with a dedicated machine learning practice since founding in 2010.
What is 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.
Space-O Technologies was founded in 2010 and is headquartered in Ahmedabad, India. The firm employs 140+ people and works primarily with clients in Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality sectors. Its primary differentiator is: 15 years of mobile/software product delivery experience (since 2010) with ML added as a production-application capability..
Space-O Technologies tech stack and services
| Service area | Details |
|---|---|
| Company needs an ML feature (recommendation, prediction, chatbot) built directly into a new or existing mobile app. | Available for Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality clients |
| EdTech or travel company wants a single vendor for both application development and embedded AI features. | Available for Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality clients |
| Team needs a blend of classical ML frameworks and modern LLM tooling in one delivery team. | Available for Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality clients |
Space-O Technologies use cases
Short answer: Space-O Technologies is best suited for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement..
| Use case | Industries | Approach |
|---|---|---|
| Company needs an ML feature (recommendation, prediction, chatbot) built directly into a new or existing mobile app. | Healthcare, EdTech | TensorFlow, Keras |
| EdTech or travel company wants a single vendor for both application development and embedded AI features. | Healthcare, EdTech | TensorFlow, Keras |
| Team needs a blend of classical ML frameworks and modern LLM tooling in one delivery team. | Healthcare, EdTech | TensorFlow, Keras |
Space-O Technologies pricing
Short answer: Space-O Technologies uses a project-based, dedicated team pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Project-based | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From Not published | Well-defined scope |
Space-O Technologies pros and cons
| Advantages | Things to consider |
|---|---|
| +15 years of product-delivery history (since 2010), with a track record that includes early on-demand and EdTech app development. | -Company's core identity and longest track record is in mobile app development, not ML — AI/ML is a newer, extended service line. |
| +300+ delivered software solutions and 1,200+ clients gives it a broad delivery pattern library. | -140-person team spread across app development, AI development, and other services means ML-specific bench depth is smaller than the total headcount suggests. |
| +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. |
Space-O Technologies vs alternatives
How Space-O Technologies compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises that need a senior AI advisory team... | Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer. | 4.9 | Full comparison |
| Provectus | Mid-market and enterprise companies that need production-grade MLOps,... | AI-first systems integrator built around running production ML/AI infrastructure long-term. | 4.8 | Full comparison |
| Tensorway | Fintech, healthcare, and retail companies that want a... | AI boutique backed by 20+ years of software delivery experience via parent company Anadea. | 4.6 | Full comparison |
| InData Labs | FinTech, healthcare, and SaaS companies that want a... | Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline. | 4.5 | Full comparison |
| DataRoot Labs | Startups and lean teams that want direct access... | Runs its own free ML/data-engineering school (DataRoot University, 6,000+ graduates) as a self-built talent pipeline. | 4.5 | Full comparison |
| XenonStack | Companies building agentic AI or real-time data platforms... | Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI. | 4.4 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises that need public-company financial transparency... | Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base. | 4.4 | Full comparison |
| MobiDev | US and EU companies that want an ML... | Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018. | 4.3 | Full comparison |
| Addepto | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they... | AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology. | 4.3 | Full comparison |
| LeewayHertz | Enterprises that want AI consulting backed by a... | AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing. | 4.2 | Full comparison |
| Softermii | Product teams building AI agents or generative AI... | 4.9/5 Clutch rating (34 reviews) with a specific focus on AI agents and real-time communication platforms. | 4.2 | Full comparison |
| Sigma Software Group | Automotive, aviation, and AdTech companies that need a... | Deep, decade-plus domain expertise in AdTech, automotive, and aviation combined with enterprise-scale delivery capacity. | 4.2 | Full comparison |
| Master of Code Global | Enterprise brands that need chat or voice AI... | 20-year specialization in enterprise chat and voice AI, with named enterprise clients like T-Mobile and Burberry. | 4.1 | Full comparison |
| Markovate | Companies wanting AI agent or chatbot development led... | CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background. | 4.1 | Full comparison |
| SoluLab | Companies that want AI development from a vendor... | Combines AI-native development with blockchain/Web3 expertise under one delivery team. | 4.1 | Full comparison |
| Zfort Group | Companies wanting a long-established (24+ year) software firm's... | One of the longest-operating firms in this list (founded 2000) with a 5-star Clutch rating and broad ML sub-specialty coverage. | 4.0 | Full comparison |
| Yalantis | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need... | Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof. | 4.0 | Full comparison |
| EPAM Systems | Large enterprises with $100K+ AI budgets that need... | Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave. | 4.0 | Full comparison |
| SoftServe | Enterprises that want an established, dual-HQ (US/Ukraine) engineering... | 31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees. | 4.0 | Full comparison |
| DataArt | Regulated-industry enterprises (finance, healthcare) that need AI delivery... | Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle. | 3.9 | Full comparison |
| Cleveroad | Healthcare, logistics, and fintech companies wanting an Estonia-based... | Named to the 2025 Clutch 1000, placing it in the global top 30 highest-rated B2B service providers on the platform. | 3.9 | Full comparison |
| Existek | Mid-market companies wanting a Clutch-recognized offshore development firm... | 4.9 Clutch rating with dual Ukraine/Romania Clutch top-developer recognition and a $25,000+ accessible entry point. | 3.9 | Full comparison |
| Konstant Infosolutions | Companies needing AI/ML features added to a mobile... | 175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record. | 3.9 | Full comparison |
| Debut Infotech | Companies wanting ML development from a firm that... | Blockchain-native since 2015, combining that engineering discipline with newer machine learning and AI automation services. | 3.9 | Full comparison |
| ValueCoders | Budget-conscious companies wanting a 20-year Indian IT outsourcer... | 5.0 Clutch rating combined with a specific AutoML development service line, uncommon among generalist outsourcing firms. | 3.8 | Full comparison |
| OpenXcell | Companies wanting AI strategy and custom LLM development... | 500–1,000 person scale combined with a specific custom-LLM development offering, not just general AI consulting. | 3.8 | Full comparison |
| Simform | Companies wanting AI/ML engineering bundled with broader cloud,... | Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list. | 3.8 | Full comparison |
| ScienceSoft | Enterprises wanting AI/MLOps delivery from a 35-year-old IT... | 35+ years of continuous operating history (since 1989), among the longest-established vendors in this list. | 3.8 | Full comparison |
| Belitsoft | Companies that need AI models integrated into an... | 20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS. | 3.8 | Full comparison |
| N-iX | Enterprises wanting ML development bundled with broader cloud,... | Seven consecutive years of Clutch top global IT services company recognition, combined with dedicated ML and MLOps consulting content. | 3.8 | Full comparison |
| ELEKS | Enterprises wanting AI/ML delivery from one of the... | 33+ years of operating history (since 1991) with 1,000+ delivered data-driven projects and Global Outsourcing 100 recognition. | 3.7 | Full comparison |
| Intellias | Automotive, mobility, and IoT companies wanting ML development... | Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases. | 3.7 | Full comparison |
| Andersen | Enterprises wanting AI consulting bundled with a very... | 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models. | 3.7 | Full comparison |
| Innowise | Companies wanting a dedicated 300-person AI/data hub backed... | A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale. | 3.7 | Full comparison |
| Accenture | The largest global enterprises needing AI transformation consulting... | Everest Group's highest-rated Leader in both Data & Analytics and AI/Generative AI PEAK Matrix Assessments (2024), at unmatched global scale. | 3.7 | Full comparison |
Space-O Technologies FAQ
What is 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.
How much does Space-O Technologies charge?
Space-O Technologies uses project-based, dedicated team pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does Space-O Technologies use?
Space-O Technologies works with TensorFlow, Keras, OpenAI API, LangChain, Python. Primary industries served include Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality.
Is Space-O Technologies right for enterprise?
Companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement.. 140+ team size. Key consideration: Company's core identity and longest track record is in mobile app development, not ML — AI/ML is a newer, extended service line..
What are the best Space-O Technologies alternatives?
The best alternatives to Space-O Technologies depend on your use case. Top options are:
- Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
- Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
- Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
Compare Space-O Technologies with other Machine Learning Development companies
Last reviewed: July 2026. Verify all details directly with Space-O Technologies before making a decision.