Provectus vs Addepto: full comparison for 2026
Quick verdict
Provectus (4.6/5) edges ahead of Addepto (4.3/5) overall. Provectus is the better choice for AWS-based companies needing data work before AI. Addepto is the stronger option for data teams needing warehouse work before an LLM project. 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, CA, USA | Warsaw, Poland |
| Team size | 500+ | 50–249 |
| Rating | 4.6 / 5 | 4.3 / 5 |
| Primary differentiator | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored |
| Pricing model | Fixed-scope assessments and pilots, then T&M or dedicated team; rates on request | $50–$99/hr (Clutch band); discovery workshops, then T&M |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | AWS Bedrock, Amazon SageMaker, Snowflake | Databricks, Snowflake, Azure OpenAI |
| Industries served | Healthcare & life sciences, Retail & CPG, Manufacturing, Media | Manufacturing, Retail & e-commerce, Aviation, Financial services |
Provectus vs Addepto: overview
Provectus
Provectus is an AI-first consultancy founded in 2010 and based in Palo Alto, California. It is an AWS Premier Tier Services Partner and added the AWS Generative AI Competency in March 2024, on top of earlier Machine Learning, Data & Analytics, DevOps and Migration competencies. Much of its integration work starts with the data platform itself, so a model ends up reading from governed, current sources. Healthcare and life sciences, retail and manufacturing account for most of its published client work.
Addepto
Addepto is a Warsaw-based AI and data consultancy that started trading in April 2018 (some directories list 2017). Clutch shows 50–249 employees, a $50–$99 hourly band and a $10,000 minimum project. CB Insights reports that KMS Technology acquired the company in December 2025, after an earlier tie-up with Grape Up. Its work typically begins with data engineering and moves on to generative AI, MLOps and AI discovery workshops.
Services and capabilities: Provectus vs Addepto
| Capability | Provectus | Addepto |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✓ | ✗ |
| Agentic workflows | ✗ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: Provectus vs Addepto
| Framework / platform | Provectus | Addepto |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | N/A |
| LangChain | ✓ | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: Provectus vs Addepto
| Criterion | Provectus | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Fixed project, Time & materials, Dedicated team | Fixed project, Time & materials |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Provectus vs Addepto
| Dimension | Provectus | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare & life sciences, Retail & CPG, Manufacturing | Manufacturing, Retail & e-commerce, Aviation |
| Best use cases | Building a governed data lake on AWS that a retrieval-augmented assistant can query safely., Moving a SageMaker or Bedrock prototype into a monitored production service. | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. |
| Typical project type | Fixed project | Fixed project |
Provectus vs Addepto: pros and cons
| Provectus | |
|---|---|
| + | AWS Premier Tier status plus the Generative AI Competency is a verifiable bar that few mid-size firms clear |
| + | Strong on the unglamorous part: cleaning, cataloguing and governing data so retrieval returns the right records |
| + | MLOps practice means models are versioned, monitored and redeployable after go-live |
| + | Published client work in regulated healthcare and life sciences settings |
| - | Heavily AWS-centric, which is a poor fit if your estate runs mainly on Azure or Google Cloud |
| - | Less visible depth inside CRM platforms such as Salesforce or Dynamics than the platform-partner firms |
| - | No public rate card or minimum project size |
| Addepto | |
|---|---|
| + | Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward |
| + | Databricks and Spark experience helps when the data estate is the real blocker |
| + | Discovery workshops scope use cases before larger spend |
| + | Predictive analytics and LLM work available from the same team |
| - | Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change |
| - | Corporate history includes several restructurings, which complicates long-term vendor planning |
| - | Limited published work inside CRM platforms |
Who should choose Provectus?
A typical fit: building a governed data lake on AWS that a retrieval-augmented assistant can query safely.
Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare & life sciences, Retail & CPG, Manufacturing, Media.
Who should choose Addepto?
A typical fit: building a Databricks lakehouse that later feeds demand forecasts and an internal assistant.
Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services.
Decision matrix: Provectus vs Addepto
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | Neither lists CRM/ERP integration work |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: Provectus (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | Neither lists agentic AI work |
Use case fit: Provectus vs Addepto
| Use case | Provectus fit | Addepto fit | Winner |
|---|---|---|---|
| Building a governed data lake on AWS that a retrieval-augmented assistant can query safely. | Strong | Strong | Both equally |
| Moving a SageMaker or Bedrock prototype into a monitored production service. | Strong | Limited | Provectus |
| Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. | Strong | Strong | Both equally |
| Productionizing ML models with MLflow and monitoring. | Limited | Strong | Addepto |
Verdict: Provectus vs Addepto
Provectus (4.6/5) is the stronger overall choice for most AI Integration projects. Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team.
Addepto (4.3/5) is worth a look if you need productionizing ML models with MLflow and monitoring. If your situation matches that, Addepto is a competitive option.
Related comparisons
Provectus vs Addepto FAQ
Is Provectus better than Addepto?
Provectus (4.6/5) scores higher overall, but "better" depends on your use case. Provectus's strongest advantage: AWS Premier Tier status plus the Generative AI Competency is a verifiable bar that few mid-size firms clear. Addepto's strongest advantage: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward.
How do Provectus and Addepto differ in pricing?
Provectus pricing: Fixed-scope assessments and pilots, then T&M or dedicated team; rates on request. Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Provectus 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 company before shortlisting.
What are the main differences between Provectus and Addepto?
Provectus's primary differentiator is: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team. Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. They also differ in team size (500+ vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Healthcare & life sciences, Retail & CPG vs Manufacturing, Retail & e-commerce).
Verify all details directly with each company before making a decision.