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 wanting McKinsey-scale generative AI expertise with real engineering behind it. Belitsoft is the stronger option for teams wanting generative AI consulting 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 origin behind a 1,000-plus person generative AI practice at McKinsey | Twenty years of outsourcing delivery with generative AI consulting 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
QuantumBlack began in 2009 as a performance-analytics unit for Formula 1 teams, joined McKinsey in December 2015 at roughly 45 people, and now runs McKinsey's AI and generative AI practice out of London across more than 40 offices worldwide, with a reported headcount in the 1,001-5,000 range. Its generative AI work spans large language model deployment, retrieval systems, and agentic workflows, framed with the same discipline the unit brought from motorsport: a claim isn't real until it's tied to a measured number.
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 generative AI consulting on top of an already-established web and mobile development and team augmentation business, making it 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 generative AI strategy program with board-level visibility., Shortlisting a recognizable name for a procurement process that requires one. | Augmenting an internal team with generative AI engineers on a staff-aug basis., Working with an established outsourcing partner that's newly investing in generative AI capability. |
| Typical project type | Retainer | Dedicated team |
QuantumBlack, AI by McKinsey vs Belitsoft: pros and cons
| QuantumBlack, AI by McKinsey | |
|---|---|
| + | The McKinsey name secures board-level attention that most generative AI boutiques can't get on their own. |
| + | A Formula 1 analytics origin story reflects genuine engineering discipline behind the generative AI branding. |
| + | More than 1,000 dedicated AI staff across 40-plus global offices. |
| + | Runs generative AI as a distinctly named practice inside McKinsey, not a rebadged strategy offering. |
| - | Pricing and minimum commitments sit above what most mid-market buyers can justify |
| - | Being embedded in a much larger firm limits flexibility on scope and pace compared with an independent boutique |
| Belitsoft | |
|---|---|
| + | Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. |
| + | Transparent about generative AI consulting 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 it relevant vertical experience. |
| - | Generative AI consulting practice is genuinely new as of 2024, with a shorter track record than most on this list |
| - | Generative AI consulting sits alongside a broader outsourcing business rather than as the firm's core identity |
Who should choose QuantumBlack, AI by McKinsey?
A typical fit: running an enterprise-wide generative AI strategy program with board-level visibility.
A Formula 1 data-science origin behind a 1,000-plus person generative AI practice at McKinsey. 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 generative AI engineers on a staff-aug basis.
Twenty years of outsourcing delivery with generative AI consulting 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 generative AI strategy program with 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 generative AI engineers on a staff-aug basis. | Limited | Strong | Belitsoft |
| Working with an established outsourcing partner that's newly investing in generative 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 Generative AI Consulting projects. A Formula 1 data-science origin behind a 1,000-plus person generative AI practice at McKinsey.
Belitsoft (3.9/5) is worth a look if you need working with an established outsourcing partner that's newly investing in generative 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 secures board-level attention that most generative AI boutiques can't get on their own. 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 firm 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 origin behind a 1,000-plus person generative AI practice at McKinsey. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with generative AI consulting 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 firm before making a decision.