Addepto vs Miquido: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Miquido (3.9/5) overall. Addepto is the better choice for manufacturers connecting AI to engineering data. Miquido is the stronger option for consumer apps adding AI features. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Miquido: head-to-head summary
| Criterion | Addepto | Miquido |
|---|---|---|
| Founded | 2018 | 2011 |
| HQ | Warsaw, Poland | Kraków, Poland |
| Team size | 50–249 | 180+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | Integration work with industrial systems such as SCADA, CAD, and PLM | Product design and mobile skills around the AI work |
| Pricing model | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) | Fixed-scope projects and time & materials; $50–$99/hr (GoodFirms band) |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure OpenAI, Snowflake | n8n, Azure OpenAI, Google Cloud |
| Industries served | Manufacturing, Energy, Logistics, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce, Media |
Addepto vs Miquido: 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.
Miquido
Miquido is a Kraków software and product studio founded in 2011, with roughly 190–300 staff depending on the source. It started in mobile and product design and now offers generative AI, machine learning, voice assistants, and chatbots, plus an internal AI and automation team building workflows on n8n. Its strength is AI features that need a polished user interface around them. GoodFirms lists a $50–$99 hourly band.
Services and capabilities: Addepto vs Miquido
| Capability | Addepto | Miquido |
|---|---|---|
| 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 Miquido
| Framework / platform | Addepto | Miquido |
|---|---|---|
| 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 |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: Addepto vs Miquido
| Criterion | Addepto | Miquido |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials | Fixed-scope project, Time & materials |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Miquido
| Dimension | Addepto | Miquido |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Energy, Logistics | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history | Voice and chat assistants in banking apps, Workflow automations built on n8n |
| Typical project type | Fixed-scope project | Fixed-scope project |
Addepto vs Miquido: 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 |
| Miquido | |
|---|---|
| + | Design and mobile teams make AI features usable for consumers. |
| + | n8n automation work suits lightweight process automation. |
| + | Mid-band European rates. |
| - | Enterprise system integration (ERP, data warehouses) isn't its strength |
| - | No Clutch pricing data found |
| - | Headcount figures vary from about 190 to 500 |
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 Miquido?
A typical fit: voice and chat assistants in banking apps.
Product design and mobile skills around the AI work. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media.
Decision matrix: Addepto vs Miquido
| 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 Miquido (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 | Miquido |
Use case fit: Addepto vs Miquido
| Use case | Addepto fit | Miquido 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 |
| Voice and chat assistants in banking apps | Limited | Strong | Miquido |
| Workflow automations built on n8n | Limited | Strong | Miquido |
Verdict: Addepto vs Miquido
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.
Miquido (3.9/5) is worth a look if you need workflow automations built on n8n. If your situation matches that, Miquido is a competitive option.
Related comparisons
Addepto vs Miquido FAQ
Is Addepto better than Miquido?
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. Miquido's strongest advantage: design and mobile teams make AI features usable for consumers.
How do Addepto and Miquido 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). Miquido's pricing: fixed-scope projects and time & materials; $50–$99/hr (GoodFirms band). 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 Miquido?
Miquido 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 Miquido?
Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. Miquido's primary differentiator is: product design and mobile skills around the AI work. They also differ in team size (50–249 vs 180+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Energy vs Financial services, Healthcare).
Verify all details directly with each provider before making a decision.