Andersen vs Innowise: full comparison for 2026
Last updated: July 2026
Quick verdict
Andersen (3.7/5) edges ahead of Innowise (3.7/5) overall. Andersen is the better choice for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. Innowise is the stronger option for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. The right choice depends on your project size, budget, and required tech stack.
Andersen vs Innowise: head-to-head summary
| Criterion | Andersen | Innowise |
|---|---|---|
| Founded | 2007 | 2007 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 3,600+ | 3,500+ |
| Rating | 3.7 / 5 | 3.7 / 5 |
| Best for | Enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.). | Companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group. |
| Pricing model | Time & materials, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, .NET, Java | Python, AWS, Apache Spark |
| Industries served | FinTech, Healthcare, Retail & E-commerce, Manufacturing | FinTech, Retail & E-commerce, Healthcare, Manufacturing |
Andersen vs Innowise: overview
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.
Innowise
Innowise was founded in 2007 and is headquartered in Warsaw, Poland, with more than 3,500 vetted engineers on staff. The company's Data and AI hub reportedly unites 300+ specialists who have delivered 200+ AI-enabled projects, maintaining dedicated practices in machine learning, big data analytics, robotic process automation, and metaverse development. While the AI hub's 300-person headcount is sizable in absolute terms, it represents less than 10% of Innowise's total 3,500+ engineering staff, reflecting the company's broader identity as a general software engineering group.
Services and capabilities: Andersen vs Innowise
| Capability | Andersen | Innowise |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Andersen vs Innowise
| Framework / platform | Andersen | Innowise |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Andersen vs Innowise
| Criterion | Andersen | Innowise |
|---|---|---|
| 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: Andersen vs Innowise
| Dimension | Andersen | Innowise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | FinTech, Retail & E-commerce, Healthcare |
| Best use cases | 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. | Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool., Enterprise needs machine learning plus robotic process automation from a single large vendor. |
| Typical project type | Dedicated team | Dedicated team |
Andersen vs Innowise: pros and cons
| 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. |
| Innowise | |
|---|---|
| + | 300+ person Data and AI hub is a specifically named, dedicated practice rather than an unstructured claim of AI capability. |
| + | 200+ AI-enabled projects delivered gives the AI hub a meaningful, quantified track record. |
| + | 3,500+ total engineers provide substantial staffing depth to scale an engagement quickly if needed. |
| + | 17 years of company history (since 2007) as an award-winning custom software developer with strong Clutch client reviews. |
| - | The 300-person AI hub represents a small fraction (well under 10%) of Innowise's total 3,500+ engineering staff — confirm the engagement is staffed from the AI hub specifically. |
| - | Broader company identity is general custom software development, with AI/ML as one of several practice areas (alongside RPA and metaverse development). |
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.
Who should choose Innowise?
Innowise is the right choice for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale.. Minimum engagement starts at Not published. Works best with clients in FinTech, Retail & E-commerce, Healthcare, Manufacturing.
Decision matrix: Andersen vs Innowise
| 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 | Andersen |
| Your budget is at the lower end | Compare: Andersen (Not published) vs Innowise (Not published) |
| You need specialist depth in a specific vertical | Andersen |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Andersen |
Use case fit: Andersen vs Innowise
| Use case | Andersen fit | Innowise fit | Winner |
|---|---|---|---|
| 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 |
| Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool. | Strong | Strong | Both equally |
| Enterprise needs machine learning plus robotic process automation from a single large vendor. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Andersen vs Innowise
Andersen (3.7/5) is the stronger overall choice for most Machine Learning Development projects. 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. It is best for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
Innowise (3.7/5) is the better choice when companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. If your situation matches those criteria, Innowise is a competitive option.
Related comparisons
Andersen vs Innowise FAQ
Is Andersen better than Innowise?
Andersen (3.7/5) scores higher overall, but "better" depends on your use case. Andersen is better for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. Innowise is better for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
How do Andersen and Innowise differ in pricing?
Andersen uses time & materials, dedicated team pricing with a minimum engagement of Not published. Innowise 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: Andersen or Innowise?
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 Andersen and Innowise?
Andersen's primary differentiator is: 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. Innowise's primary differentiator is: a specifically named 300+ person data and ai hub within a much larger 3,500+ engineer group, giving both focus and scale.. They also differ in team size (3,600+ vs 3,500+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs FinTech, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.