Addepto vs Space-O Technologies: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of Space-O Technologies (4.0/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Space-O Technologies is the stronger option for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Space-O Technologies: head-to-head summary
| Criterion | Addepto | Space-O Technologies |
|---|---|---|
| Founded | 2018 | 2010 |
| HQ | Warsaw, Poland | Ahmedabad, India |
| Team size | 50–100 | 140+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement. |
| Pricing model | Project-based, consulting retainer | Project-based, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | TensorFlow, Keras, OpenAI API |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | Healthcare, EdTech, Retail & E-commerce, Travel & Hospitality |
Addepto vs Space-O Technologies: overview
Addepto
Addepto was founded in Warsaw in 2018 by Data Science enthusiasts Edwin Lisowski and Artur Haponik, delivering AI consulting and data-driven solutions recognized by Forbes, Deloitte, and the Financial Times. In December 2025, Addepto was acquired by KMS Technology, and prospective clients should confirm how delivery teams, pricing, and leadership continuity have changed post-acquisition. Reported employee counts vary from roughly 11–50 to 72, reflecting the transition period around the acquisition.
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.
Services and capabilities: Addepto vs Space-O Technologies
| Capability | Addepto | Space-O Technologies |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Addepto vs Space-O Technologies
| Framework / platform | Addepto | Space-O Technologies |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| 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: Addepto vs Space-O Technologies
| Criterion | Addepto | Space-O Technologies |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Project-based, Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs Space-O Technologies
| Dimension | Addepto | Space-O Technologies |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | Healthcare, EdTech, Retail & E-commerce |
| Best use cases | Company wants an AI consultancy with independent press recognition for vendor due diligence., Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | 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. |
| Typical project type | Project-based | Project-based |
Addepto vs Space-O Technologies: pros and cons
| Addepto | |
|---|---|
| + | Press recognition from Forbes, Deloitte, and the Financial Times provides independent third-party validation beyond client testimonials. |
| + | Founder-led AI consulting model since 2018, prior to being acquired. |
| + | Now backed by KMS Technology's broader resources post-acquisition, which may add delivery capacity. |
| - | Acquired by KMS Technology in December 2025 — leadership continuity, pricing, and delivery-team stability during integration are unconfirmed. |
| - | Reported headcount varies significantly across sources (11–50 vs. 72), making current team size hard to pin down. |
| - | Recent acquisition means the company's standalone track record may not reflect how engagements are run going forward. |
| 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. |
Who should choose Addepto?
Addepto is the right choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Retail & E-commerce.
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.
Decision matrix: Addepto 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 | Space-O Technologies |
| Your budget is at the lower end | Compare: Addepto (Not published) vs Space-O Technologies (Not published) |
| You need specialist depth in a specific vertical | Space-O Technologies |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs Space-O Technologies
| Use case | Addepto fit | Space-O Technologies fit | Winner |
|---|---|---|---|
| Company wants an AI consultancy with independent press recognition for vendor due diligence. | Strong | Strong | Both equally |
| Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Strong | Limited | Addepto |
| 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. | Limited | Strong | Space-O Technologies |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs Space-O Technologies
Addepto (4.3/5) is the stronger overall choice for most Machine Learning Development projects. AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. It is best for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
Space-O Technologies (4.0/5) is the better choice when companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement.. If your situation matches those criteria, Space-O Technologies is a competitive option.
Related comparisons
Addepto vs Space-O Technologies FAQ
Is Addepto better than Space-O Technologies?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Space-O Technologies is better for companies that need machine learning embedded into a mobile or web application, not a standalone ML research engagement..
How do Addepto and Space-O Technologies differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. Space-O Technologies uses project-based, 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: Addepto or Space-O Technologies?
Addepto 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 Addepto and Space-O Technologies?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. 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.. They also differ in team size (50–100 vs 140+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs Healthcare, EdTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.