Addepto vs Innowise: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of Innowise (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.. 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.
Addepto vs Innowise: head-to-head summary
| Criterion | Addepto | Innowise |
|---|---|---|
| Founded | 2018 | 2007 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 50–100 | 3,500+ |
| 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. | Companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group. |
| Pricing model | Project-based, consulting retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | Python, AWS, Apache Spark |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | FinTech, Retail & E-commerce, Healthcare, Manufacturing |
Addepto vs Innowise: 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.
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: Addepto vs Innowise
| Capability | Addepto | Innowise |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Addepto vs Innowise
| Framework / platform | Addepto | Innowise |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| 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: Addepto vs Innowise
| Criterion | Addepto | Innowise |
|---|---|---|
| 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 Innowise
| Dimension | Addepto | Innowise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | FinTech, Retail & E-commerce, Healthcare |
| 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 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 | Project-based | Dedicated team |
Addepto vs Innowise: 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. |
| 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 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 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: Addepto 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 | Innowise |
| Your budget is at the lower end | Compare: Addepto (Not published) vs Innowise (Not published) |
| You need specialist depth in a specific vertical | Innowise |
| 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 Innowise
| Use case | Addepto fit | Innowise 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 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. | Limited | Strong | Innowise |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs Innowise
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..
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
Addepto vs Innowise FAQ
Is Addepto better than Innowise?
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.. 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 Addepto and Innowise differ in pricing?
Addepto uses project-based, consulting retainer 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: Addepto or Innowise?
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 Innowise?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. 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 (50–100 vs 3,500+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs FinTech, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.