QuantumBlack, AI by McKinsey vs 10Clouds: full comparison for 2026
Quick verdict
QuantumBlack, AI by McKinsey (4.8/5) edges ahead of 10Clouds (3.8/5) overall. QuantumBlack, AI by McKinsey is the better choice for enterprises that need McKinsey-level credibility with real engineering behind it. 10Clouds is the stronger option for product teams wanting AI strategy folded into UX and design. The right choice depends on your project size, budget, and required tech stack.
QuantumBlack, AI by McKinsey vs 10Clouds: head-to-head summary
| Criterion | QuantumBlack, AI by McKinsey | 10Clouds |
|---|---|---|
| Founded | 2009 | 2009 |
| HQ | London, United Kingdom | Warsaw, Poland |
| Team size | 1,001-5,000 | 51-200 |
| Rating | 4.8 / 5 | 3.8 / 5 |
| Primary differentiator | Formula 1 data-science origin, now a 1,000-plus person AI agency inside McKinsey | AI advisory treated as one integrated capability inside full product design |
| Pricing model | Retainer, enterprise contracting | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, React, Node.js |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Healthcare | Fintech, Healthcare, Retail & e-commerce |
QuantumBlack, AI by McKinsey vs 10Clouds: overview
QuantumBlack, AI by McKinsey
QuantumBlack began in 2009 as a performance-analytics agency for Formula 1 teams, then joined McKinsey in December 2015 at roughly 45 people. It has since grown into McKinsey's dedicated AI agency, run out of London with more than 40 offices worldwide and a LinkedIn-reported headcount in the 1,001-5,000 range. Few agencies on this list can point to a motorsport pedigree, and it still shows in how the practice talks about performance gains: specific, measured, and tied to a number rather than a narrative.
10Clouds
10Clouds has run out of Warsaw, Poland since 2009, with a headcount reported around 176 as of mid-2024 against a wider LinkedIn range of 51-200. The agency's core business is digital product consultancy, web and mobile development, and UX design, with AI advisory treated as an integrated capability rather than a standalone service line.
Services and capabilities: QuantumBlack, AI by McKinsey vs 10Clouds
| Capability | QuantumBlack, AI by McKinsey | 10Clouds |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: QuantumBlack, AI by McKinsey vs 10Clouds
| Framework / platform | QuantumBlack, AI by McKinsey | 10Clouds |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: QuantumBlack, AI by McKinsey vs 10Clouds
| Criterion | QuantumBlack, AI by McKinsey | 10Clouds |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: QuantumBlack, AI by McKinsey vs 10Clouds
| Dimension | QuantumBlack, AI by McKinsey | 10Clouds |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Running an enterprise-wide AI strategy program with visibility at board level., Shortlisting a brand-name agency for a procurement process that requires one. | Getting AI strategy input at the same time a product's UX gets redesigned., Adding AI advisory to an existing web or mobile product roadmap. |
| Typical project type | Retainer | Fixed project |
QuantumBlack, AI by McKinsey vs 10Clouds: pros and cons
| QuantumBlack, AI by McKinsey | |
|---|---|
| + | The McKinsey name opens board-level doors that a standalone AI agency generally can't. |
| + | An unusual origin story in Formula 1 analytics translates into a genuine engineering bench, not just strategy slides. |
| + | Over 1,000 dedicated AI staff spread across more than 40 offices globally. |
| + | Operates as a named specialist agency inside McKinsey rather than a generic add-on service line. |
| - | Pricing and minimum commitments sit well above what most mid-market buyers can absorb |
| - | Being embedded in a much larger firm limits flexibility on scope and pace compared to an independent agency |
| 10Clouds | |
|---|---|
| + | A strong product design and UX practice means AI strategy recommendations arrive with real implementation context. |
| + | Fifteen-plus years of operating history in the Warsaw tech scene. |
| + | Comfortable across the full product stack, not just the AI layer. |
| + | A mid-size team keeps senior engineers involved on most engagements. |
| - | AI advisory sits alongside, not ahead of, the agency's core product design business |
| - | Less AI-specific case-study depth than agencies built around AI from founding |
Who should choose QuantumBlack, AI by McKinsey?
A typical fit: running an enterprise-wide AI strategy program with visibility at board level.
Formula 1 data-science origin, now a 1,000-plus person AI agency inside McKinsey. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Healthcare.
Who should choose 10Clouds?
A typical fit: getting AI strategy input at the same time a product's UX gets redesigned.
AI advisory treated as one integrated capability inside full product design. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.
Decision matrix: QuantumBlack, AI by McKinsey vs 10Clouds
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | 10Clouds |
| You need a large dedicated team for an ongoing programme | QuantumBlack, AI by McKinsey |
| Your budget is at the lower end | Compare: QuantumBlack, AI by McKinsey (Not disclosed) vs 10Clouds (Not disclosed) |
| You need specialist depth in a specific vertical | QuantumBlack, AI by McKinsey |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | QuantumBlack, AI by McKinsey |
Use case fit: QuantumBlack, AI by McKinsey vs 10Clouds
| Use case | QuantumBlack, AI by McKinsey fit | 10Clouds fit | Winner |
|---|---|---|---|
| Running an enterprise-wide AI strategy program with visibility at board level. | Strong | Strong | Both equally |
| Shortlisting a brand-name agency for a procurement process that requires one. | Strong | Limited | QuantumBlack, AI by McKinsey |
| Getting AI strategy input at the same time a product's UX gets redesigned. | Limited | Strong | 10Clouds |
| Adding AI advisory to an existing web or mobile product roadmap. | Limited | Strong | 10Clouds |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: QuantumBlack, AI by McKinsey vs 10Clouds
QuantumBlack, AI by McKinsey (4.8/5) is the stronger overall choice for most AI Consulting projects. Formula 1 data-science origin, now a 1,000-plus person AI agency inside McKinsey.
10Clouds (3.8/5) is worth a look if you need adding AI advisory to an existing web or mobile product roadmap. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
QuantumBlack, AI by McKinsey vs 10Clouds FAQ
Is QuantumBlack, AI by McKinsey better than 10Clouds?
QuantumBlack, AI by McKinsey (4.8/5) scores higher overall, but "better" depends on your use case. QuantumBlack, AI by McKinsey's strongest advantage: the McKinsey name opens board-level doors that a standalone AI agency generally can't. 10Clouds's strongest advantage: a strong product design and UX practice means AI strategy recommendations arrive with real implementation context.
How do QuantumBlack, AI by McKinsey and 10Clouds differ in pricing?
QuantumBlack, AI by McKinsey uses retainer, enterprise contracting pricing. 10Clouds uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: QuantumBlack, AI by McKinsey or 10Clouds?
QuantumBlack, AI by McKinsey 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 QuantumBlack, AI by McKinsey and 10Clouds?
QuantumBlack, AI by McKinsey's primary differentiator is: formula 1 data-science origin, now a 1,000-plus person AI agency inside McKinsey. 10Clouds's primary differentiator is: AI advisory treated as one integrated capability inside full product design. They also differ in team size (1,001-5,000 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.