Miquido
Kraków product studio adding AI features to mobile and web apps
Founded 2011 | Kraków, Poland | 150–250 employees
llm-api-integrationconversational-ai
What is Miquido?
Miquido is a software product studio founded in 2011 in Kraków, Poland. Directory headcount estimates range from about 175 to more than 250 people. Clutch lists a $50–$99 hourly band and an overall rating of 4.9, with reviewers noting occasional difficulty scaling teams quickly. It now describes itself as an AI-native development firm, but most of its portfolio is consumer-facing apps rather than back-office system integration.
Miquido works primarily with clients in Financial services, Healthcare, Retail & e-commerce, Entertainment sectors. Its primary differentiator is: Product design and mobile engineering applied to AI features in apps.
Miquido tech stack and services
Azure OpenAIGoogle Vertex AIFlutterPythonLangChain
| Service area |
|---|
| LLM API Integration |
| Conversational AI |
Miquido pricing
Short answer: $50–$99/hr (Clutch band); fixed-price and T&M. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From not disclosed | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
Miquido does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Miquido pros and cons
| Advantages | Things to consider |
|---|---|
| +Strong product design and mobile craft | -Little back-office integration work with CRM or ERP |
| +Published Clutch rate band | -Reviewers mention resource constraints when scaling up |
| +Good fit for consumer-facing AI features |
Miquido vs alternatives
How Miquido compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Miquido FAQ
What is Miquido?
Kraków product studio adding AI features to mobile and web apps
How much does Miquido charge?
Pricing at Miquido: $50–$99/hr (Clutch band); fixed-price and T&M. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Miquido use?
Miquido works with Azure OpenAI, Google Vertex AI, Flutter, Python, LangChain. Primary industries served include Financial services, Healthcare, Retail & e-commerce, Entertainment.
Is Miquido right for enterprise?
Product teams adding AI to customer-facing apps. 150–250 team size. Key consideration: Little back-office integration work with CRM or ERP.
What are the best Miquido alternatives?
The best alternatives to Miquido depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare Miquido with other AI Integration companies
Miquido vs Tensorway Miquido vs Provectus Miquido vs Slalom Miquido vs Neurons Lab Miquido vs TTMS Miquido vs Avanade Miquido vs deepsense.ai Miquido vs Addepto Miquido vs Vstorm Miquido vs Quantiphi Miquido vs Grid Dynamics Miquido vs EPAM Systems Miquido vs Accenture Miquido vs Perficient Miquido vs Azumo Miquido vs RTS Labs Miquido vs Thoughtworks Miquido vs InData Labs Miquido vs Master of Code Global Miquido vs Deloitte Miquido vs IBM Consulting Miquido vs Globant Miquido vs N-iX Miquido vs ScienceSoft Miquido vs Itransition Miquido vs Markovate Miquido vs LeewayHertz
Verify all details directly with Miquido before making a decision.