Persistent Systems vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.1/5) edges ahead of Persistent Systems (3.8/5) overall. Addepto is the better choice for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. Persistent Systems is the stronger option for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. The right choice depends on your project size, budget, and required tech stack.
Persistent Systems vs Addepto: head-to-head summary
| Criterion | Persistent Systems | Addepto |
|---|---|---|
| Founded | 1990 | 2018 |
| HQ | Pune, India | Warsaw, Poland |
| Team size | 10,000+ | 51–200 |
| Rating | 3.8 / 5 | 4.1 / 5 |
| Best for | Very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate. | Companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition. |
| Pricing model | Managed services and fixed project | Fixed project and consulting retainer |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, Azure OpenAI, AWS | Python, Scikit-learn, TensorFlow |
| Industries served | Financial Services, Healthcare, Technology/SaaS, Government | Financial Services, Retail, Manufacturing |
Persistent Systems vs Addepto: overview
Persistent Systems
Persistent Systems is an Indian multinational technology company founded in 1990 by Anand Deshpande, headquartered in Pune, with roughly 24,600 employees as of March 2025. Its AI/ML offerings, including the Persistent GenAI Hub, sit within a much larger portfolio spanning enterprise software, cloud, and digital engineering services rather than being the company's core specialization.
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: Persistent Systems vs Addepto
| Capability | Persistent Systems | 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: Persistent Systems vs Addepto
| Framework / platform | Persistent Systems | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Persistent Systems vs Addepto
| Criterion | Persistent Systems | Addepto |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Managed services, Fixed project, Staff augmentation | Fixed project, Consulting retainer |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: Persistent Systems vs Addepto
| Dimension | Persistent Systems | Addepto |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Healthcare, Technology/SaaS | Financial Services, Retail, Manufacturing |
| Best use cases | Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor, Very large, multi-year digital transformation programs where AI is one workstream among many | 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 | Managed services | Fixed project |
Persistent Systems vs Addepto: pros and cons
| Persistent Systems | |
|---|---|
| + | 35 years of operating history and one of the largest headcounts on this list (24,000+) |
| + | AI capability delivered alongside a company's existing broader IT services relationship, reducing vendor sprawl |
| + | 16,000+ AI-trained staff cited internally, suggesting significant AI upskilling investment (per company website) |
| + | Public-company scale supports very large, multi-year enterprise transformation programs |
| - | AI/ML is one offering within a much larger, more generalist IT services portfolio rather than the firm's core focus |
| - | Buyers seeking cutting-edge ML specialization may find deeper expertise at AI-first boutiques on this list |
| - | Very large organization can mean slower response times and more layered account management than smaller firms |
| 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 Persistent Systems?
Persistent Systems is the right choice for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Technology/SaaS, Government.
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: Persistent Systems vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Persistent Systems |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: Persistent Systems (Not published) vs Addepto ($20K) |
| You need specialist depth in a specific vertical | Persistent Systems |
| You need staff augmentation or team extension | Persistent Systems |
| You need consulting before committing to a build | Persistent Systems |
Use case fit: Persistent Systems vs Addepto
| Use case | Persistent Systems fit | Addepto fit | Winner |
|---|---|---|---|
| Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor | Strong | Limited | Persistent Systems |
| Very large, multi-year digital transformation programs where AI is one workstream among many | Strong | Limited | Persistent Systems |
| 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: Persistent Systems vs Addepto
Addepto (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology.. It is best for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
Persistent Systems (3.8/5) is the better choice when very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. If your situation matches those criteria, Persistent Systems is a competitive option.
Related comparisons
Persistent Systems vs Addepto FAQ
Is Persistent Systems better than Addepto?
Addepto (4.1/5) scores higher overall, but "better" depends on your use case. Persistent Systems is better for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. 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 Persistent Systems and Addepto differ in pricing?
Persistent Systems uses managed services and fixed project 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: Persistent Systems or Addepto?
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 agency before shortlisting.
What are the main differences between Persistent Systems and Addepto?
Persistent Systems's primary differentiator is: enterprise-wide scale (24,000+ employees) supporting ai/ml as part of a full it services portfolio, not a standalone specialty.. 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 (10,000+ vs 51–200), minimum engagement (Not published vs $20K), and primary industries served (Financial Services, Healthcare vs Financial Services, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.