Provectus vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Provectus (4.8/5) edges ahead of Addepto (4.3/5) overall. Provectus is the better choice for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept.. Addepto is the stronger option for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. The right choice depends on your project size, budget, and required tech stack.
Provectus vs Addepto: head-to-head summary
| Criterion | Provectus | Addepto |
|---|---|---|
| Founded | 2010 | 2018 |
| HQ | Palo Alto, California, United States | Warsaw, Poland |
| Team size | 500–1,000 | 50–100 |
| Rating | 4.8 / 5 | 4.3 / 5 |
| Best for | Mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept. | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. |
| Pricing model | Time & materials, fixed project | Project-based, consulting retainer |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS SageMaker, Kubernetes, MLflow | Python, TensorFlow, AWS |
| Industries served | Retail & E-commerce, Healthcare, Manufacturing, Media & Entertainment, FinTech | FinTech, Manufacturing, Retail & E-commerce |
Provectus vs Addepto: overview
Provectus
Provectus was founded in 2010 in Palo Alto, California by Stepan Pushkarev and operates as an AI-first systems integrator, combining cloud engineering, big data engineering, and applied ML/AI. The company has grown to an estimated 500–1,000 employees across nine locations and positions itself around running the AI systems its clients run their business on, rather than one-off model delivery. Clutch lists Provectus at a $50–$99/hr rate band, consistent with a mid-market enterprise consultancy rather than a boutique.
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.
Services and capabilities: Provectus vs Addepto
| Capability | Provectus | Addepto |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Provectus vs Addepto
| Framework / platform | Provectus | Addepto |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | 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 |
Pricing comparison: Provectus vs Addepto
| Criterion | Provectus | Addepto |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project, Managed MLOps | Project-based, Consulting retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Provectus vs Addepto
| Dimension | Provectus | Addepto |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Retail & E-commerce, Healthcare, Manufacturing | FinTech, Manufacturing, Retail & E-commerce |
| Best use cases | Company has a working ML prototype and needs it hardened into a production MLOps pipeline., Enterprise needs a single vendor for both cloud infrastructure and ML delivery. | 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. |
| Typical project type | Dedicated team | Project-based |
Provectus vs Addepto: pros and cons
| Provectus | |
|---|---|
| + | 500–1,000 person bench supports enterprise-scale engagements without subcontracting. |
| + | Combines cloud infrastructure engineering with ML delivery, reducing hand-off friction to a separate DevOps vendor. |
| + | 15+ years of delivery history since 2010 gives the firm depth in productionizing (not just prototyping) ML systems. |
| + | Broad industry coverage from retail to healthcare reduces vertical-specific onboarding risk. |
| - | Mid-market hourly rate ($50–$99/hr per Clutch) sits below boutique AI specialists, which can mean less senior researcher involvement per project. |
| - | Company size means engagement structure is closer to a managed vendor relationship than a tight advisory partnership. |
| 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. |
Who should choose Provectus?
Provectus is the right choice for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept..
AI-first systems integrator built around running production ML/AI infrastructure long-term.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, Manufacturing, Media & Entertainment, FinTech.
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.
Decision matrix: Provectus vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Provectus |
| You need a large dedicated team for an ongoing programme | Provectus |
| Your budget is at the lower end | Compare: Provectus (Not published) vs Addepto (Not published) |
| You need specialist depth in a specific vertical | Provectus |
| You need production MLOps support after model launch | Provectus |
| You need consulting before committing to a build | Addepto |
Use case fit: Provectus vs Addepto
| Use case | Provectus fit | Addepto fit | Winner |
|---|---|---|---|
| Company has a working ML prototype and needs it hardened into a production MLOps pipeline. | Strong | Strong | Both equally |
| Enterprise needs a single vendor for both cloud infrastructure and ML delivery. | Strong | Limited | Provectus |
| 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. | Limited | Strong | Addepto |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Provectus vs Addepto
Provectus (4.8/5) is the stronger overall choice for most Machine Learning Development projects. AI-first systems integrator built around running production ML/AI infrastructure long-term.. It is best for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept..
Addepto (4.3/5) is the better choice when companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Provectus vs Addepto FAQ
Is Provectus better than Addepto?
Provectus (4.8/5) scores higher overall, but "better" depends on your use case. Provectus is better for mid-market and enterprise companies that need production-grade MLOps, not just a proof of concept.. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
How do Provectus and Addepto differ in pricing?
Provectus uses time & materials, fixed project pricing with a minimum engagement of Not published. Addepto uses project-based, consulting retainer 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: Provectus or Addepto?
Provectus 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 Provectus and Addepto?
Provectus's primary differentiator is: ai-first systems integrator built around running production ml/ai infrastructure long-term.. Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. They also differ in team size (500–1,000 vs 50–100), minimum engagement (Not published vs Not published), and primary industries served (Retail & E-commerce, Healthcare vs FinTech, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.