Addepto vs Azumo: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Azumo (4.0/5) overall. Addepto is the better choice for manufacturers connecting AI to engineering data. Azumo is the stronger option for U.S. startups wanting nearshore AI engineers. 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 | 80+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Integration work with industrial systems such as SCADA, CAD, and PLM | Latin American engineers working U.S. hours |
| Pricing model | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) | Dedicated teams and time & materials; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure OpenAI, Snowflake | Azure OpenAI, AWS Bedrock, LangChain |
| Industries served | Manufacturing, Energy, Logistics, Retail & e-commerce | SaaS, Media, Healthcare, Financial services |
Addepto vs Azumo: overview
Addepto
Addepto was founded in Warsaw in 2018 and employs 50–100 people according to most directories (Clutch shows 50–249). KMS Technology acquired it in December 2025, and it continues as an independent subsidiary. Its focus is unusual. The integration work leans toward industrial and engineering data, connecting AI to supervisory control (SCADA), computer-aided design (CAD), and product lifecycle management (PLM) systems alongside more common document and analytics projects. Clutch lists a $10,000 minimum and a $50–$99 hourly band, one of the more accessible entry points on this list.
Azumo
Azumo is a nearshore software firm based in San Francisco, founded in 2016, with engineers across Latin America. Built In lists 79 employees, while other directories show 201–500, so its size is unclear. The company works on AI, data engineering, cloud, and mobile, and cites more than 350 delivered projects (per G2 profile; independently unverifiable). U.S. companies that want daily overlap with an outside team at nearshore rates are its main buyers.
Services and capabilities: Addepto vs Azumo
| Capability | Addepto | Azumo |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✓ | ✗ |
| Conversational AI | ✗ | ✓ |
| Agentic workflows | ✗ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
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 | ✓ | ✓ |
| Databricks | ✓ | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Addepto vs Azumo
| Criterion | Addepto | Azumo |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Azumo
| Dimension | Addepto | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Energy, Logistics | SaaS, Media, Healthcare |
| Best use cases | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history | Adding a chat assistant to a SaaS product, Extending an in-house team with LLM engineers |
| Typical project type | Fixed-scope project | Dedicated team |
Addepto vs Azumo: pros and cons
| Addepto | |
|---|---|
| + | The $10K Clutch minimum lets small teams test an integration without a large commitment. |
| + | Experience with plant and engineering systems most AI vendors don't touch. |
| + | Clutch reviews average close to 4.9. |
| + | Data engineering and AI are scoped by the same team. |
| - | Acquired by KMS Technology in December 2025; long-term pricing and branding may change |
| - | Headcount varies a lot between directories |
| - | No managed-service offer for running systems after launch |
| Azumo | |
|---|---|
| + | Full time-zone overlap with U.S. clients. |
| + | Nearshore rates below U.S. onshore firms. |
| + | Mixes AI work with the app and data engineering around it. |
| - | Team size is reported anywhere from about 80 to 500 |
| - | No platform partner tiers to verify |
| - | No fixed-price pilot or managed-service offer published |
Who should choose Addepto?
A typical fit: search across CAD and PLM records with an LLM front end.
Integration work with industrial systems such as SCADA, CAD, and PLM. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Energy, Logistics, Retail & e-commerce.
Who should choose Azumo?
A typical fit: adding a chat assistant to a SaaS product.
Latin American engineers working U.S. hours. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Media, Healthcare, Financial services.
Decision matrix: Addepto vs Azumo
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Neither; plan for your own team to run it |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Azumo (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Check each profile; neither lists CRM or ERP work |
| You need multi-step agents acting across systems | Neither lists agentic work |
| You need a large team for a multi-year program | Azumo |
Use case fit: Addepto vs Azumo
| Use case | Addepto fit | Azumo fit | Winner |
|---|---|---|---|
| Search across CAD and PLM records with an LLM front end | Strong | Limited | Addepto |
| Predictive maintenance from SCADA sensor history | Strong | Limited | Addepto |
| Adding a chat assistant to a SaaS product | Limited | Strong | Azumo |
| Extending an in-house team with LLM engineers | Limited | Strong | Azumo |
Verdict: Addepto vs Azumo
Addepto (4.3/5) is the stronger overall choice for most AI Integration Services projects. Integration work with industrial systems such as SCADA, CAD, and PLM.
Azumo (4.0/5) is worth a look if you need extending an in-house team with LLM 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: the $10K Clutch minimum lets small teams test an integration without a large commitment. Azumo's strongest advantage: full time-zone overlap with U.S. clients.
How do Addepto and Azumo differ in pricing?
Addepto's pricing: fixed-scope projects and time & materials; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). Azumo's pricing: dedicated teams and time & materials; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Addepto or Azumo?
Azumo is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Addepto and Azumo?
Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. Azumo's primary differentiator is: latin American engineers working U.S. hours. They also differ in team size (50–249 vs 80+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Energy vs SaaS, Media).
Verify all details directly with each provider before making a decision.