Miquido vs Ciklum: full comparison for 2026
Last updated: July 2026
Quick verdict
Miquido (4.4/5) edges ahead of Ciklum (4.1/5) overall. Miquido is the better choice for product companies that need ML or GenAI embedded in a mobile app or SaaS product, with fast time-to-demo. Ciklum is the stronger option for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. The right choice depends on your project size, budget, and required tech stack.
Miquido vs Ciklum: head-to-head summary
| Criterion | Miquido | Ciklum |
|---|---|---|
| Founded | 2011 | 2002 |
| HQ | Kraków, Poland | London, UK |
| Team size | 200+ | 3,000+ |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Best for | Product companies that need ML or GenAI embedded in a mobile app or SaaS product, with fast time-to-demo | Digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery |
| Pricing model | Fixed project, T&M | Dedicated team, T&M, fixed project |
| Min. engagement | $30K | $75K |
| Primary tech stack | TensorFlow, PyTorch, OpenAI | Python, TensorFlow, PyTorch |
| Industries served | Financial Services, Media & Entertainment, Healthcare & Life Sciences, Retail & E-commerce, SaaS & Technology | Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology |
Miquido vs Ciklum: overview
Miquido
Miquido is a product and technology company founded in 2011 and headquartered in Kraków, Poland, with 200+ employees. The firm offers custom machine learning development alongside mobile and product engineering, making it a strong option when ML needs to be embedded within a mobile or SaaS product. Miquido is recognised for rapid generative AI delivery — offering GenAI app demos in two days and full products in four weeks — and has delivered for clients in finance, media, and healthcare.
Ciklum
Ciklum is an AI-powered experience engineering company founded in 2002 and headquartered in London, UK, with 3,000+ engineers across 19 global locations. The firm brings 25+ years of product and AI excellence to FinTech, Retail, Healthcare, and Hi-Tech — from foundational AI and agentic automation to accelerated software engineering. Ciklum reports 25+ AI products already in production and 10+ years of AI expertise, and serves enterprise clients globally.
Services and capabilities: Miquido vs Ciklum
| Capability | Miquido | Ciklum |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & LLMs | ✓ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: Miquido vs Ciklum
| Framework / platform | Miquido | Ciklum |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | N/A | N/A |
| Hugging Face | ✓ | N/A |
| Apache Spark | N/A | ✓ |
| Kubernetes | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Miquido vs Ciklum
| Criterion | Miquido | Ciklum |
|---|---|---|
| Minimum engagement | $30K | $75K |
| Engagement models | Fixed project, Time & materials | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Miquido vs Ciklum
| Dimension | Miquido | Ciklum |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Media & Entertainment, Healthcare & Life Sciences | Financial Services, Retail & E-commerce, Healthcare & Life Sciences |
| Best use cases | AI-native mobile application with on-device ML inference for fintech, GenAI content creation and moderation features embedded in a media SaaS platform | Enterprise FinTech AI product build with agentic automation and fraud detection ML, Retail personalisation AI platform with product recommendation and pricing optimisation |
| Typical project type | Fixed project | Dedicated team |
Miquido vs Ciklum: pros and cons
| Miquido | |
|---|---|
| + | Fastest GenAI prototyping in the market — demo in 2 days, full product in 4 weeks claim (per company website; independently unverifiable) |
| + | Mobile ML capability (TensorFlow Lite, Core ML) for on-device inference without cloud dependency |
| + | Top-ranked in multiple AI consulting company lists for 2026 |
| + | Product engineering + ML under one roof eliminates integration handoff friction |
| + | Kraków location provides access to a deep Polish AI/ML talent pool |
| - | Speed-first delivery culture may sacrifice architectural rigour for less-defined projects |
| - | Less depth in large-scale data engineering and MLOps infrastructure than data-first firms |
| - | EU delivery can create time-zone friction for US West Coast clients needing real-time collaboration |
| Ciklum | |
|---|---|
| + | 25+ AI products verified in production — strong proof of delivery, not just design |
| + | Global 19-location delivery network for enterprise programmes requiring regional presence |
| + | FinTech, Retail, and Healthcare vertical depth with domain-specific ML capabilities |
| + | Agentic AI and automation practice alongside core ML development |
| + | London HQ provides natural alignment with GDPR and EU AI regulatory frameworks |
| - | $75K minimum limits accessibility for smaller ML projects |
| - | Large-firm delivery model — less agile and responsive than boutiques for fast-iteration work |
| - | Ukraine and Eastern Europe delivery mix carries geopolitical risk for some enterprise procurement teams |
Who should choose Miquido?
Miquido is the right choice for product companies that need ML or GenAI embedded in a mobile app or SaaS product, with fast time-to-demo.
GenAI and mobile ML integration in one team — a rare combination for companies building AI-native products for end users. Minimum engagement starts at $30K. Works best with clients in Financial Services, Media & Entertainment, Healthcare & Life Sciences, Retail & E-commerce, SaaS & Technology.
Who should choose Ciklum?
Ciklum is the right choice for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.
25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead. Minimum engagement starts at $75K. Works best with clients in Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology.
Decision matrix: Miquido vs Ciklum
| 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 | Ciklum |
| Your budget is at the lower end | Miquido |
| You need specialist depth in a specific vertical | Miquido |
| You need staff augmentation or team extension | Ciklum |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Miquido vs Ciklum
| Use case | Miquido fit | Ciklum fit | Winner |
|---|---|---|---|
| AI-native mobile application with on-device ML inference for fintech | Strong | Limited | Miquido |
| GenAI content creation and moderation features embedded in a media SaaS platform | Strong | Limited | Miquido |
| Enterprise FinTech AI product build with agentic automation and fraud detection ML | Limited | Strong | Ciklum |
| Retail personalisation AI platform with product recommendation and pricing optimisation | Limited | Strong | Ciklum |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Ciklum |
Verdict: Miquido vs Ciklum
Miquido (4.4/5) is the stronger overall choice for most Machine Learning Development projects. GenAI and mobile ML integration in one team — a rare combination for companies building AI-native products for end users. It is best for product companies that need ML or GenAI embedded in a mobile app or SaaS product, with fast time-to-demo.
Ciklum (4.1/5) is the better choice when digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. If your situation matches those criteria, Ciklum is a competitive option.
Related comparisons
Miquido vs Ciklum FAQ
Is Miquido better than Ciklum?
Miquido (4.4/5) scores higher overall, but "better" depends on your use case. Miquido is better for product companies that need ML or GenAI embedded in a mobile app or SaaS product, with fast time-to-demo. Ciklum is better for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.
How do Miquido and Ciklum differ in pricing?
Miquido uses fixed project, t&m pricing with a minimum engagement of $30K. Ciklum uses dedicated team, t&m, fixed project pricing with a minimum engagement of $75K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Miquido or Ciklum?
Ciklum 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 Miquido and Ciklum?
Miquido's primary differentiator is: genai and mobile ml integration in one team — a rare combination for companies building ai-native products for end users. Ciklum's primary differentiator is: 25+ ai products in production combined with 3,000+ global engineers — enterprise ai scale without the big-four overhead. They also differ in team size (200+ vs 3,000+), minimum engagement ($30K vs $75K), and primary industries served (Financial Services, Media & Entertainment vs Financial Services, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.