QuantumBlack, AI by McKinsey vs Belitsoft: full comparison for 2026
Quick verdict
QuantumBlack, AI by McKinsey (4.8/5) edges ahead of Belitsoft (3.9/5) overall. QuantumBlack, AI by McKinsey is the better choice for enterprises that want McKinsey's name behind real engineering capacity. Belitsoft is the stronger option for teams wanting AI advisory from an established staff augmentation partner. The right choice depends on your project size, budget, and required tech stack.
QuantumBlack, AI by McKinsey vs Belitsoft: head-to-head summary
| Criterion | QuantumBlack, AI by McKinsey | Belitsoft |
|---|---|---|
| Founded | 2009 | 2004 |
| HQ | London, United Kingdom | Warsaw, Poland |
| Team size | 1,001-5,000 | 250-400 |
| Rating | 4.8 / 5 | 3.9 / 5 |
| Primary differentiator | A Formula 1 data-science pedigree inside a 1,000-plus person McKinsey practice | Twenty years of outsourcing delivery with AI advisory added as a distinctly recent practice |
| Pricing model | Retainer, enterprise contracting | Dedicated team or staff augmentation |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, AWS, .NET |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Healthcare | Healthcare, Fintech, E-learning |
QuantumBlack, AI by McKinsey vs Belitsoft: overview
QuantumBlack, AI by McKinsey
Before it was McKinsey's AI practice, QuantumBlack was a performance-analytics operation for Formula 1 teams, founded in 2009. McKinsey acquired it in December 2015 when it had around 45 people; it now runs out of London with staff across more than 40 offices globally and a reported headcount in the 1,001-5,000 range. That racing pedigree still shapes how the practice pitches itself: outcomes measured in specific numbers, not narrative claims about transformation.
Belitsoft
Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, project managers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and AI development in 2024, layering AI advisory on top of an already-established web and mobile development and team augmentation business, a genuinely recent addition rather than a rebrand of older services.
Services and capabilities: QuantumBlack, AI by McKinsey vs Belitsoft
| Capability | QuantumBlack, AI by McKinsey | Belitsoft |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| Data engineering | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: QuantumBlack, AI by McKinsey vs Belitsoft
| Framework / platform | QuantumBlack, AI by McKinsey | Belitsoft |
|---|---|---|
| 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 Belitsoft
| Criterion | QuantumBlack, AI by McKinsey | Belitsoft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: QuantumBlack, AI by McKinsey vs Belitsoft
| Dimension | QuantumBlack, AI by McKinsey | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Healthcare, Fintech, E-learning |
| Best use cases | Running an enterprise-wide AI strategy program that needs board-level visibility., Shortlisting a recognizable name for a procurement process that requires one. | Augmenting an internal team with AI engineers on a staff-aug basis., Working with an established outsourcing partner that's newly investing in AI capability. |
| Typical project type | Retainer | Dedicated team |
QuantumBlack, AI by McKinsey vs Belitsoft: pros and cons
| QuantumBlack, AI by McKinsey | |
|---|---|
| + | The McKinsey name gets a board-level meeting scheduled that a lesser-known firm can't always secure. |
| + | An unusual founding story in Formula 1 performance analytics reflects real engineering depth behind the brand. |
| + | More than 1,000 dedicated AI staff across 40-plus global offices. |
| + | Operates as a distinct, named practice within McKinsey rather than a generic add-on. |
| - | Pricing and minimum commitments sit above what most mid-market companies can justify |
| - | Sitting inside a much larger firm limits how flexible the engagement can be on scope and pace |
| Belitsoft | |
|---|---|
| + | Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. |
| + | Transparent about AI advisory being a 2024 addition rather than overstating a longer history. |
| + | Over 400 combined technical staff supports flexible team augmentation. |
| + | Established e-learning industry presence gives the agency relevant vertical experience. |
| - | The AI advisory practice is genuinely new as of 2024, with a shorter track record than most on this list |
| - | AI advisory sits alongside a broader outsourcing business rather than as the agency's core identity |
Who should choose QuantumBlack, AI by McKinsey?
A typical fit: running an enterprise-wide AI strategy program that needs board-level visibility.
A Formula 1 data-science pedigree inside a 1,000-plus person McKinsey practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Healthcare.
Who should choose Belitsoft?
A typical fit: augmenting an internal team with AI engineers on a staff-aug basis.
Twenty years of outsourcing delivery with AI advisory added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.
Decision matrix: QuantumBlack, AI by McKinsey vs Belitsoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| 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 Belitsoft (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 Belitsoft
| Use case | QuantumBlack, AI by McKinsey fit | Belitsoft fit | Winner |
|---|---|---|---|
| Running an enterprise-wide AI strategy program that needs board-level visibility. | Strong | Limited | QuantumBlack, AI by McKinsey |
| Shortlisting a recognizable name for a procurement process that requires one. | Strong | Limited | QuantumBlack, AI by McKinsey |
| Augmenting an internal team with AI engineers on a staff-aug basis. | Limited | Strong | Belitsoft |
| Working with an established outsourcing partner that's newly investing in AI capability. | Limited | Strong | Belitsoft |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: QuantumBlack, AI by McKinsey vs Belitsoft
QuantumBlack, AI by McKinsey (4.8/5) is the stronger overall choice for most AI Consulting projects. A Formula 1 data-science pedigree inside a 1,000-plus person McKinsey practice.
Belitsoft (3.9/5) is worth a look if you need working with an established outsourcing partner that's newly investing in AI capability. If your situation matches that, Belitsoft is a competitive option.
Related comparisons
QuantumBlack, AI by McKinsey vs Belitsoft FAQ
Is QuantumBlack, AI by McKinsey better than Belitsoft?
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 gets a board-level meeting scheduled that a lesser-known firm can't always secure. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.
How do QuantumBlack, AI by McKinsey and Belitsoft differ in pricing?
QuantumBlack, AI by McKinsey uses retainer, enterprise contracting pricing. Belitsoft uses dedicated team or staff augmentation 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 Belitsoft?
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 Belitsoft?
QuantumBlack, AI by McKinsey's primary differentiator is: a Formula 1 data-science pedigree inside a 1,000-plus person McKinsey practice. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with AI advisory added as a distinctly recent practice. They also differ in team size (1,001-5,000 vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Healthcare, Fintech).
Verify all details directly with each agency before making a decision.