Exadel vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Exadel (4.1/5) edges ahead of Addepto (4.1/5) overall. Exadel is the better choice for enterprises wanting model design through MLOps and production deployment from a firm with 25+ years of engineering history.. Addepto is the stronger option for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. The right choice depends on your project size, budget, and required tech stack.
Exadel vs Addepto: head-to-head summary
| Criterion | Exadel | Addepto |
|---|---|---|
| Founded | 1998 | 2018 |
| HQ | Walnut Creek, California, USA | Warsaw, Poland |
| Team size | 1,001–5,000 | 51–200 |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Best for | Enterprises wanting model design through MLOps and production deployment from a firm with 25+ years of engineering history. | Companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition. |
| Pricing model | Fixed project and managed services | Fixed project and consulting retainer |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, TensorFlow, Kubernetes | Python, Scikit-learn, TensorFlow |
| Industries served | Technology/SaaS, Financial Services, Healthcare, Retail | Financial Services, Retail, Manufacturing |
Exadel vs Addepto: overview
Exadel
Exadel is a global software consulting and development company founded in Silicon Valley in 1998, headquartered in Walnut Creek, California, with roughly 2,000+ engineers across more than 30 delivery centers in 17 countries. The firm names AI and data management, including generative AI and MLOps, as one of five core service areas alongside strategy consulting, digital experience, and managed services.
Addepto
Addepto is an AI and data consulting company founded in Warsaw, Poland in 2018 by Edwin Lisowski and Artur Haponik (one source lists 2017), specializing in machine learning, artificial intelligence, and business intelligence solutions. Reported headcount is roughly 55–58 employees across Europe, North America, and Asia. In December 2025, Addepto was acquired by KMS Technology; prospective clients should confirm how the acquisition affects team continuity, existing contracts, and service delivery going forward.
Services and capabilities: Exadel vs Addepto
| Capability | Exadel | Addepto |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✓ | ✗ |
| MLOps & production deployment | ✓ | ✗ |
| Data engineering | ✓ | ✗ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Exadel vs Addepto
| Framework / platform | Exadel | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Exadel vs Addepto
| Criterion | Exadel | Addepto |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Fixed project, Managed services | Fixed project, Consulting retainer |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: Exadel vs Addepto
| Dimension | Exadel | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology/SaaS, Financial Services, Healthcare | Financial Services, Retail, Manufacturing |
| Best use cases | Enterprises needing the full model lifecycle from design through MLOps and production integration, Generative AI application builds requiring responsible-AI governance | Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources, Business intelligence projects that also require a machine learning component |
| Typical project type | Fixed project | Fixed project |
Exadel vs Addepto: pros and cons
| Exadel | |
|---|---|
| + | 27 years of continuous operation since its 1998 Silicon Valley founding |
| + | AI and Data Management is one of only five named core service lines, indicating strategic (not incidental) investment |
| + | 2,000+ engineers across 30+ delivery centers supports large, distributed programs |
| + | Named focus on responsible AI 'built for trust and scale' alongside technical delivery |
| - | AI/ML sits alongside four other core service lines (strategy, digital experience, digital products, managed services) rather than being the sole focus |
| - | Less boutique-style founder access than smaller specialist firms on this list |
| - | Minimum engagement size not publicly disclosed |
| Addepto | |
|---|---|
| + | 7 years of focused AI/BI consulting experience prior to the KMS Technology acquisition |
| + | Small team size historically meant direct founder-level access on engagements |
| + | Multi-continent presence (Europe, North America, Asia) despite a compact headcount |
| + | Acquisition by KMS Technology (Dec 2025) may bring additional delivery resources and stability |
| - | Acquired by KMS Technology in December 2025 — buyers should confirm how this affects team continuity, pricing, and existing contracts before signing |
| - | Public sources disagree on exact founding year (2017 vs. 2018) and employee count (55 vs. 58) |
| - | Post-acquisition integration could change the service delivery model in ways not yet publicly documented |
Who should choose Exadel?
Exadel is the right choice for enterprises wanting model design through MLOps and production deployment from a firm with 25+ years of engineering history..
Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines.. Minimum engagement starts at Not published. Works best with clients in Technology/SaaS, Financial Services, Healthcare, Retail.
Who should choose Addepto?
Addepto is the right choice for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology.. Minimum engagement starts at $20K. Works best with clients in Financial Services, Retail, Manufacturing.
Decision matrix: Exadel vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Exadel |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: Exadel (Not published) vs Addepto ($20K) |
| You need specialist depth in a specific vertical | Exadel |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Addepto |
Use case fit: Exadel vs Addepto
| Use case | Exadel fit | Addepto fit | Winner |
|---|---|---|---|
| Enterprises needing the full model lifecycle from design through MLOps and production integration | Strong | Limited | Exadel |
| Generative AI application builds requiring responsible-AI governance | Strong | Limited | Exadel |
| Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources | Limited | Strong | Addepto |
| Business intelligence projects that also require a machine learning component | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Exadel vs Addepto
Exadel (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines.. It is best for enterprises wanting model design through MLOps and production deployment from a firm with 25+ years of engineering history..
Addepto (4.1/5) is the better choice when companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Exadel vs Addepto FAQ
Is Exadel better than Addepto?
Exadel (4.1/5) scores higher overall, but "better" depends on your use case. Exadel is better for enterprises wanting model design through MLOps and production deployment from a firm with 25+ years of engineering history.. Addepto is better for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
How do Exadel and Addepto differ in pricing?
Exadel uses fixed project and managed services pricing with a minimum engagement of Not published. Addepto uses fixed project and consulting retainer pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Exadel or Addepto?
Exadel is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Exadel and Addepto?
Exadel's primary differentiator is: explicit end-to-end scope 'from model design to mlops and integration' as one of five named core service lines.. Addepto's primary differentiator is: boutique ai/bi consultancy that gained additional scale and resources through its december 2025 acquisition by kms technology.. They also differ in team size (1,001–5,000 vs 51–200), minimum engagement (Not published vs $20K), and primary industries served (Technology/SaaS, Financial Services vs Financial Services, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.