Addepto vs Azumo: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Azumo (4.2/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. Azumo is the stronger option for budget-conscious U.S. teams, time-zone-aligned. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Azumo: head-to-head summary
| Criterion | Addepto | Azumo |
|---|---|---|
| Founded | 2018 | 2016 |
| HQ | Warsaw, Poland | San Francisco, CA, USA |
| Team size | 50–249 | 50–249 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Primary differentiator | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point |
| Pricing model | $50–$99/hr (Clutch band); discovery workshops, then T&M | $25–$49/hr (Clutch band); T&M and dedicated teams |
| Min. engagement | $10,000+ (Clutch) | $10,000+ (Clutch) |
| Primary tech stack | Databricks, Snowflake, Azure OpenAI | Azure OpenAI, AWS Bedrock, LangChain |
| Industries served | Manufacturing, Retail & e-commerce, Aviation, Financial services | SaaS, Financial services, Healthcare, Retail & e-commerce |
Addepto vs Azumo: overview
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.
Azumo
Azumo is a nearshore software and AI development company founded in 2016, headquartered in San Francisco, with its main engineering base in Rosario, Argentina. Clutch lists 50–249 employees, a $25–$49 hourly band and a $10,000 minimum project, with an overall review score of 4.9. It builds LLM features, chat interfaces and data integrations for U.S. startups and mid-size firms. Some Clutch reviewers mention turnover on longer engagements.
Services and capabilities: Addepto vs Azumo
| Capability | Addepto | Azumo |
|---|---|---|
| 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: Addepto vs Azumo
| Framework / platform | Addepto | Azumo |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| LangChain | ✓ | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: Addepto vs Azumo
| Criterion | Addepto | Azumo |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | $10,000+ (Clutch) |
| Engagement models | Fixed project, Time & materials | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Addepto vs Azumo
| Dimension | Addepto | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Aviation | SaaS, Financial services, Healthcare |
| Best use cases | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. | Adding an LLM assistant to an existing SaaS product., Extending an in-house team with nearshore AI engineers. |
| Typical project type | Fixed project | Time & materials |
Addepto vs Azumo: pros and cons
| 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 |
| Azumo | |
|---|---|
| + | Among the lowest published rate bands on this list |
| + | Working hours overlap fully with U.S. teams |
| + | Strong Clutch review record with high marks for communication |
| + | Low $10,000 minimum makes a first project easy to approve |
| - | Some reviewers report team turnover on long engagements |
| - | Less experience with SAP, Oracle or other heavy ERP systems |
| - | Few governance or security controls are described publicly |
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.
Who should choose Azumo?
A typical fit: adding an LLM assistant to an existing SaaS product.
U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in SaaS, Financial services, Healthcare, Retail & e-commerce.
Decision matrix: Addepto vs Azumo
| 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 | Addepto |
| 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: Addepto vs Azumo
| Use case | Addepto fit | Azumo fit | Winner |
|---|---|---|---|
| Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. | Strong | Limited | Addepto |
| Productionizing ML models with MLflow and monitoring. | Strong | Limited | Addepto |
| Adding an LLM assistant to an existing SaaS product. | Limited | Strong | Azumo |
| Extending an in-house team with nearshore AI engineers. | Limited | Strong | Azumo |
Verdict: Addepto vs Azumo
Addepto (4.3/5) is the stronger overall choice for most AI Integration projects. Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored.
Azumo (4.2/5) is worth a look if you need extending an in-house team with nearshore AI engineers. If your situation matches that, Azumo is a competitive option.
Related comparisons
Addepto vs Azumo FAQ
Is Addepto better than Azumo?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward. Azumo's strongest advantage: among the lowest published rate bands on this list.
How do Addepto and Azumo differ in pricing?
Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). Azumo pricing: $25–$49/hr (Clutch band); T&M and dedicated teams. 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: Addepto or Azumo?
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 Azumo?
Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Azumo's primary differentiator is: U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point. They also differ in team size (50–249 vs 50–249), minimum engagement ($10,000+ (Clutch) vs $10,000+ (Clutch)), and primary industries served (Manufacturing, Retail & e-commerce vs SaaS, Financial services).
Verify all details directly with each company before making a decision.