Best Generative AI Consulting Firms

BCG X vs Belitsoft: full comparison for 2026

Quick verdict

BCG X (4.6/5) edges ahead of Belitsoft (3.9/5) overall. BCG X is the better choice for enterprises wanting generative AI strategy paired with an in-house build team. 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.

BCG X vs Belitsoft: head-to-head summary

Criterion BCG X Belitsoft
Founded 2014 2004
HQ Boston, United States Warsaw, Poland
Team size 3,000+ 250-400
Rating 4.6 / 5 3.9 / 5
Primary differentiator Over 3,000 in-house technologists building the generative AI systems they recommend 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, Healthcare, Retail & e-commerce, Manufacturing Healthcare, Fintech, E-learning

BCG X vs Belitsoft: overview

BCG X

BCG X launched in 2014 as Boston Consulting Group's technology build and design division and now runs more than 3,000 technologists, data scientists, engineers, and designers across 80-plus cities. Its generative AI work spans strategy through deployment, and the unit is deliberately structured to ship the LLM-based systems it recommends rather than stop at a slide deck, which is the core reason enterprise buyers pick it over a strategy-only generative AI advisory practice.

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: BCG X vs Belitsoft

Capability BCG X Belitsoft
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: BCG X vs Belitsoft

Framework / platform BCG X Belitsoft
Python
AWS
Azure N/A
Google Cloud N/A
Kubernetes N/A N/A
LangChain N/A N/A
PyTorch N/A N/A

Pricing comparison: BCG X vs Belitsoft

Criterion BCG X 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: BCG X vs Belitsoft

Dimension BCG X Belitsoft
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Retail & e-commerce Healthcare, Fintech, E-learning
Best use cases Running a large-scale generative AI transformation program with board visibility., Needing a single vendor that combines generative AI strategy with hands-on technical build. 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

BCG X vs Belitsoft: pros and cons

BCG X
+ 3,000-plus technologists give this practice real generative AI build capacity most strategy consultancies lack.
+ An 80-plus-city footprint supports large, geographically distributed generative AI programs.
+ BCG's broader strategy reputation carries weight in procurement processes that require a name-brand vendor.
+ Explicit positioning around shipping working generative AI systems, not just recommending them.
- Enterprise-consultancy pricing and minimums exclude most small and mid-size buyers
- Scale of the parent organization can mean less flexibility on scope and timeline than a true 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 BCG X?

A typical fit: running a large-scale generative AI transformation program with board visibility.

Over 3,000 in-house technologists building the generative AI systems they recommend. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Manufacturing.

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: BCG X 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 BCG X
Your budget is at the lower end Compare: BCG X (Not disclosed) vs Belitsoft (Not disclosed)
You need specialist depth in a specific vertical BCG X
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build BCG X

Use case fit: BCG X vs Belitsoft

Use case BCG X fit Belitsoft fit Winner
Running a large-scale generative AI transformation program with board visibility. Strong Limited BCG X
Needing a single vendor that combines generative AI strategy with hands-on technical build. Strong Limited BCG X
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 Strong Limited BCG X

Verdict: BCG X vs Belitsoft

BCG X (4.6/5) is the stronger overall choice for most Generative AI Consulting projects. Over 3,000 in-house technologists building the generative AI systems they recommend.

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

BCG X vs Belitsoft FAQ

Is BCG X better than Belitsoft?

BCG X (4.6/5) scores higher overall, but "better" depends on your use case. BCG X's strongest advantage: 3,000-plus technologists give this practice real generative AI build capacity most strategy consultancies lack. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.

How do BCG X and Belitsoft differ in pricing?

BCG X 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: BCG X or Belitsoft?

Belitsoft 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 BCG X and Belitsoft?

BCG X's primary differentiator is: over 3,000 in-house technologists building the generative AI systems they recommend. 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 (3,000+ vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Healthcare, Fintech).

Verify all details directly with each firm before making a decision.