Intellias vs Andersen: full comparison for 2026
Last updated: July 2026
Quick verdict
Intellias (3.7/5) edges ahead of Andersen (3.7/5) overall. Intellias is the better choice for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. Andersen is the stronger option for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. The right choice depends on your project size, budget, and required tech stack.
Intellias vs Andersen: head-to-head summary
| Criterion | Intellias | Andersen |
|---|---|---|
| Founded | 2002 | 2007 |
| HQ | Sliema, Malta | Warsaw, Poland |
| Team size | 2,961 | 3,600+ |
| Rating | 3.7 / 5 | 3.7 / 5 |
| Best for | Automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage. | Enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.). |
| Pricing model | Time & materials, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AWS, Azure | Python, .NET, Java |
| Industries served | Automotive, Manufacturing, FinTech, Retail & E-commerce | FinTech, Healthcare, Retail & E-commerce, Manufacturing |
Intellias vs Andersen: overview
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.
Andersen
Andersen was founded in 2007 by Alexandr Khomich, with Alexandr Orlov as co-founder/CTO and Alexandr Grigoryev as CEO, and is headquartered in Warsaw, Poland with additional presence in Krakow. The company employs more than 3,600 in-house developers, QA engineers, business analysts, designers, project managers, DevOps, and security specialists across 20 office locations and 16 development centers, with a technology stack spanning .NET, Java, Python, PHP, Go, mobile, and front-end frameworks alongside AI consulting, machine learning, and data engineering. Its AI/data practice sits within a much broader general software-engineering portfolio.
Services and capabilities: Intellias vs Andersen
| Capability | Intellias | Andersen |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Intellias vs Andersen
| Framework / platform | Intellias | Andersen |
|---|---|---|
| TensorFlow | ✓ | N/A |
| 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: Intellias vs Andersen
| Criterion | Intellias | Andersen |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Time & materials, Staff augmentation | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Intellias vs Andersen
| Dimension | Intellias | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Automotive, Manufacturing, FinTech | FinTech, Healthcare, Retail & E-commerce |
| Best use cases | 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. | Enterprise wants AI consulting bundled with broad general software engineering (.NET, Java, mobile) from one vendor., Company needs a large, multi-language development team where AI/ML is one of several needed capabilities. |
| Typical project type | Dedicated team | Dedicated team |
Intellias vs Andersen: pros and cons
| 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. |
| Andersen | |
|---|---|
| + | 3,600+ in-house experts across 20 office locations and 16 development centers gives it substantial delivery flexibility. |
| + | 17 years of company history (since 2007) with a broad, multi-language technology stack beyond AI alone. |
| + | AI-powered robotic integration line suggests genuine applied AI work beyond pure software consulting. |
| - | AI consulting and ML are a smaller practice within a much broader general software-engineering portfolio (.NET, Java, PHP, Go, mobile). |
| - | Reported HQ city varies between Warsaw and Krakow across sources — confirm the primary contracting entity. |
| - | At 3,600+ employees, clients should confirm they're assigned a genuinely AI-specialized pod, not general developers relabeled for the engagement. |
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.
Who should choose Andersen?
Andersen is the right choice for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Manufacturing.
Decision matrix: Intellias vs Andersen
| 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: Intellias (Not published) vs Andersen (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 | Andersen |
Use case fit: Intellias vs Andersen
| Use case | Intellias fit | Andersen fit | Winner |
|---|---|---|---|
| Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage. | Strong | Limited | Intellias |
| Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. | Strong | Strong | Both equally |
| Enterprise wants AI consulting bundled with broad general software engineering (.NET, Java, mobile) from one vendor. | Strong | Strong | Both equally |
| Company needs a large, multi-language development team where AI/ML is one of several needed capabilities. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Intellias vs Andersen
Intellias (3.7/5) is the stronger overall choice for most Machine Learning Development projects. Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases.. It is best for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
Andersen (3.7/5) is the better choice when enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. If your situation matches those criteria, Andersen is a competitive option.
Related comparisons
Intellias vs Andersen FAQ
Is Intellias better than Andersen?
Intellias (3.7/5) scores higher overall, but "better" depends on your use case. Intellias is better for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. Andersen is better for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
How do Intellias and Andersen differ in pricing?
Intellias uses time & materials, dedicated team pricing with a minimum engagement of Not published. Andersen 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: Intellias or Andersen?
Andersen 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 Intellias and Andersen?
Intellias's primary differentiator is: strong automotive/mobility and iot sector heritage, giving it differentiated depth in embedded and connected-device ml use cases.. Andersen's primary differentiator is: 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. They also differ in team size (2,961 vs 3,600+), minimum engagement (Not published vs Not published), and primary industries served (Automotive, Manufacturing vs FinTech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.