Addepto vs Intellias: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of Intellias (3.7/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Intellias is the stronger option for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Intellias: head-to-head summary
| Criterion | Addepto | Intellias |
|---|---|---|
| Founded | 2018 | 2002 |
| HQ | Warsaw, Poland | Sliema, Malta |
| Team size | 50–100 | 2,961 |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage. |
| Pricing model | Project-based, consulting retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | Python, AWS, Azure |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | Automotive, Manufacturing, FinTech, Retail & E-commerce |
Addepto vs Intellias: 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.
Intellias
Intellias was founded in 2002 in Lviv, Ukraine by Michael Puzrakov and Vitaly Sedler and now lists its headquarters in Sliema, Malta, with a workforce exceeding 2,961 employees (some sources cite 3,000+). The company specializes in IoT, artificial intelligence, machine learning, big data, cloud computing, data science, and DevOps, and has been listed among top service providers by Clutch, IAOP, and the GSA UK Awards. Its automotive and mobility-sector heritage gives it particular depth in embedded/IoT-adjacent ML applications relative to more general-purpose AI consultancies.
Services and capabilities: Addepto vs Intellias
| Capability | Addepto | Intellias |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Addepto vs Intellias
| Framework / platform | Addepto | Intellias |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Addepto vs Intellias
| Criterion | Addepto | Intellias |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs Intellias
| Dimension | Addepto | Intellias |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | Automotive, Manufacturing, FinTech |
| 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. | Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage., Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. |
| Typical project type | Project-based | Dedicated team |
Addepto vs Intellias: 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. |
| Intellias | |
|---|---|
| + | 22+ years of operating history (since 2002) with founders still traceable to the company's Lviv origins. |
| + | 2,961-person workforce provides strong delivery capacity for large, multi-workstream enterprise programs. |
| + | Recognized among top service providers by Clutch, IAOP, and the GSA UK Awards — three independent bodies rather than one. |
| + | Automotive and IoT sector depth differentiates it from generalist ML consultancies for embedded/connected-device use cases. |
| - | Legal headquarters in Sliema, Malta while founding and significant delivery capacity remains tied to Lviv, Ukraine — confirm contracting jurisdiction. |
| - | At nearly 3,000 employees, AI/ML is one of several core specializations (IoT, big data, cloud, DevOps) rather than a standalone focus. |
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 Intellias?
Intellias is the right choice for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases.. Minimum engagement starts at Not published. Works best with clients in Automotive, Manufacturing, FinTech, Retail & E-commerce.
Decision matrix: Addepto vs Intellias
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Intellias |
| Your budget is at the lower end | Compare: Addepto (Not published) vs Intellias (Not published) |
| You need specialist depth in a specific vertical | Intellias |
| 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 Intellias
| Use case | Addepto fit | Intellias 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 |
| Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage. | Limited | Strong | Intellias |
| Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. | Limited | Strong | Intellias |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs Intellias
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..
Intellias (3.7/5) is the better choice when automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. If your situation matches those criteria, Intellias is a competitive option.
Related comparisons
Addepto vs Intellias FAQ
Is Addepto better than Intellias?
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.. Intellias is better for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
How do Addepto and Intellias differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. Intellias 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: Addepto or Intellias?
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 Intellias?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. Intellias's primary differentiator is: strong automotive/mobility and iot sector heritage, giving it differentiated depth in embedded and connected-device ml use cases.. They also differ in team size (50–100 vs 2,961), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs Automotive, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.