Miquido vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Miquido (4.0/5) edges ahead of Addepto (3.9/5) overall. Miquido is the better choice for product companies in streaming, fintech, or healthtech needing AI features embedded into a consumer-facing mobile or web application. Addepto is the stronger option for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience. The right choice depends on your project size, budget, and required tech stack.
Miquido vs Addepto: head-to-head summary
| Criterion | Miquido | Addepto |
|---|---|---|
| Founded | 2011 | 2017 |
| HQ | Kraków, Poland | Warsaw, Poland |
| Team size | 200+ | 50–100 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Product companies in streaming, fintech, or healthtech needing AI features embedded into a consumer-facing mobile or web application | Manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience |
| Pricing model | Fixed project, T&M | Fixed project, T&M |
| Min. engagement | $30K | $15K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Media / Entertainment, Financial Services / Fintech, Healthcare, Retail / E-commerce, Technology / SaaS | Manufacturing, Retail / E-commerce, Financial Services, Logistics |
Miquido vs Addepto: overview
Miquido
Miquido is a software design and development company founded in 2011 and headquartered in Kraków, Poland, with over 200 professionals. It has built more than 110 AI-powered applications across music and video streaming, mobile commerce, fintech, and healthcare over its 14-year history. Miquido differentiates itself by combining AI development with product design and mobile engineering under one roof — enabling clients to build ML-powered applications with a single partner rather than coordinating separate design, mobile, and AI vendors. Its AI consulting practice covers custom ML, NLP, generative AI, and predictive analytics with a bias toward product-embedded rather than infrastructure-focused deliverables.
Addepto
Addepto is a machine learning and AI consultancy established in 2017 and headquartered in Warsaw, Poland, with approximately 52 employees. Despite its small size, Addepto has built a focused portfolio in manufacturing predictive maintenance, logistics AI, and retail recommendation engines, delivering scalable ML solutions that align with the specific data patterns and operational constraints of each vertical. The firm's notable projects include predictive maintenance implementations for manufacturing clients, logistics optimisation using AI-driven analysis, and recommendation engines for retail. Addepto is one of the more accessible boutiques by team size and minimum engagement, suitable for companies requiring a specialised ML partner without enterprise-level overhead.
Services and capabilities: Miquido vs Addepto
| Capability | Miquido | Addepto |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI strategy | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✗ | ✗ |
Tech stack comparison: Miquido vs Addepto
| Framework / platform | Miquido | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | ✓ |
Pricing comparison: Miquido vs Addepto
| Criterion | Miquido | Addepto |
|---|---|---|
| Minimum engagement | $30K | $15K |
| Engagement models | Fixed project, Time & materials | Fixed project, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Miquido vs Addepto
| Dimension | Miquido | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media / Entertainment, Financial Services / Fintech, Healthcare | Manufacturing, Retail / E-commerce, Financial Services |
| Best use cases | AI-powered personalisation features embedded in music or video streaming mobile applications, NLP-driven chatbot and conversational AI integration into fintech or banking apps | Predictive maintenance ML for manufacturing equipment with IoT sensor data integration, Recommendation engine development for e-commerce and retail personalisation platforms |
| Typical project type | Fixed project | Fixed project |
Miquido vs Addepto: pros and cons
| Miquido | |
|---|---|
| + | 110+ shipped AI-powered products provides one of the stronger product delivery track records among European ML agencies |
| + | Unique combination of AI, mobile, and product design eliminates multi-vendor coordination for app-centric projects |
| + | Streaming, fintech, and healthtech domain knowledge reduces onboarding time for clients in those verticals |
| + | Named 13 top AI consulting companies to watch in 2026 by its own and third-party editorial lists |
| + | Kraków talent pool provides EU-timezone delivery at competitive rates |
| - | Product design and mobile focus means backend ML infrastructure and MLOps depth is thinner than engineering-first competitors |
| - | Less suited to data-heavy enterprise ML programmes without a user-facing product component |
| - | Team ceiling of 200+ limits concurrent capacity for simultaneous large enterprise engagements |
| Addepto | |
|---|---|
| + | Focused manufacturing and retail portfolio reduces onboarding time on predictive maintenance and recommendation system projects |
| + | Small team ensures senior practitioner involvement throughout the engagement rather than junior staffing after kickoff |
| + | Competitive Warsaw-based rates are well below US boutiques of equivalent vertical ML depth |
| + | Accessible $15K minimum allows SMEs to engage professional ML delivery without enterprise investment levels |
| - | Team of ~52 strictly limits concurrent capacity — unsuitable for clients needing multiple simultaneous ML tracks |
| - | Founded 2017 — shorter track record than established competitors for high-stakes procurement decisions |
| - | Narrow vertical focus means less applicable experience for clients in healthcare, financial services, or media |
| - | Less infrastructure in generative AI, agentic systems, or large-scale MLOps compared to larger firms |
Who should choose Miquido?
Miquido is the right choice for product companies in streaming, fintech, or healthtech needing AI features embedded into a consumer-facing mobile or web application.
Rare combination of ML, product design, and mobile engineering under one studio — ideal for building AI-powered consumer applications without managing multiple vendors. Minimum engagement starts at $30K. Works best with clients in Media / Entertainment, Financial Services / Fintech, Healthcare, Retail / E-commerce, Technology / SaaS.
Who should choose Addepto?
Addepto is the right choice for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience.
Focused vertical expertise in manufacturing predictive maintenance and retail AI at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. Minimum engagement starts at $15K. Works best with clients in Manufacturing, Retail / E-commerce, Financial Services, Logistics.
Decision matrix: Miquido vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Miquido |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Addepto |
| You need specialist depth in a specific vertical | Miquido |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Miquido vs Addepto
| Use case | Miquido fit | Addepto fit | Winner |
|---|---|---|---|
| AI-powered personalisation features embedded in music or video streaming mobile applications | Strong | Limited | Miquido |
| NLP-driven chatbot and conversational AI integration into fintech or banking apps | Strong | Limited | Miquido |
| Predictive maintenance ML for manufacturing equipment with IoT sensor data integration | Strong | Strong | Both equally |
| Recommendation engine development for e-commerce and retail personalisation platforms | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Miquido vs Addepto
Miquido (4.0/5) is the stronger overall choice for most Machine Learning projects. Rare combination of ML, product design, and mobile engineering under one studio — ideal for building AI-powered consumer applications without managing multiple vendors. It is best for product companies in streaming, fintech, or healthtech needing AI features embedded into a consumer-facing mobile or web application.
Addepto (3.9/5) is the better choice when manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Miquido vs Addepto FAQ
Is Miquido better than Addepto?
Miquido (4.0/5) scores higher overall, but "better" depends on your use case. Miquido is better for product companies in streaming, fintech, or healthtech needing AI features embedded into a consumer-facing mobile or web application. Addepto is better for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience.
How do Miquido and Addepto differ in pricing?
Miquido uses fixed project, t&m pricing with a minimum engagement of $30K. Addepto uses fixed project, t&m pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Miquido 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 agency before shortlisting.
What are the main differences between Miquido and Addepto?
Miquido's primary differentiator is: rare combination of ml, product design, and mobile engineering under one studio — ideal for building ai-powered consumer applications without managing multiple vendors. Addepto's primary differentiator is: focused vertical expertise in manufacturing predictive maintenance and retail ai at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. They also differ in team size (200+ vs 50–100), minimum engagement ($30K vs $15K), and primary industries served (Media / Entertainment, Financial Services / Fintech vs Manufacturing, Retail / E-commerce).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.