Top AI Consulting Companies

QuantumBlack, AI by McKinsey vs SoftKraft: full comparison for 2026

Quick verdict

QuantumBlack, AI by McKinsey (4.6/5) edges ahead of SoftKraft (3.9/5) overall. QuantumBlack, AI by McKinsey is the better choice for enterprises wanting McKinsey-backed AI strategy with real engineering depth. SoftKraft is the stronger option for startups on tight budgets needing AI strategy advice. The right choice depends on your project size, budget, and required tech stack.

QuantumBlack, AI by McKinsey vs SoftKraft: head-to-head summary

Criterion QuantumBlack, AI by McKinsey SoftKraft
Founded 2009 2015
HQ London, United Kingdom Bielsko-Biala, Poland
Team size 1,001-5,000 11-50
Rating 4.6 / 5 3.9 / 5
Primary differentiator Formula 1 analytics origin, now McKinsey's dedicated 1,000-plus person AI arm Small dedicated team priced for startup budgets, not enterprise rates
Pricing model Retainer, enterprise contracting Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, PostgreSQL, Apache Airflow
Industries served Financial services, Manufacturing, Retail & e-commerce, Healthcare Fintech, SaaS, Healthtech

QuantumBlack, AI by McKinsey vs SoftKraft: overview

QuantumBlack, AI by McKinsey

QuantumBlack started in 2009 doing performance analytics for Formula 1 teams before McKinsey acquired it in December 2015, when it had around 45 people. It now operates as McKinsey's dedicated AI arm, headquartered in London with over 40 offices worldwide and a LinkedIn-reported headcount in the 1,001-5,000 band. The unit's origin in motorsport data science is unusual among AI consultancies and still shapes its emphasis on measurable performance gains rather than open-ended strategy decks.

SoftKraft

SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team from Bielsko-Biala, Poland. Around 70% of its clients are North American despite the delivery team sitting in Poland. The firm's positioning centers on data-driven software, AI consulting, and data engineering built specifically for startups and small-to-mid-sized companies, not enterprise accounts.

Services and capabilities: QuantumBlack, AI by McKinsey vs SoftKraft

Capability QuantumBlack, AI by McKinsey SoftKraft
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: QuantumBlack, AI by McKinsey vs SoftKraft

Framework / platform QuantumBlack, AI by McKinsey SoftKraft
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 SoftKraft

Criterion QuantumBlack, AI by McKinsey SoftKraft
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 SoftKraft

Dimension QuantumBlack, AI by McKinsey SoftKraft
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Manufacturing, Retail & e-commerce Fintech, SaaS, Healthtech
Best use cases Running an enterprise-wide AI strategy engagement with board-level visibility., Needing a name-brand consultancy for a procurement process that requires one. Getting an AI strategy assessment for a pre-seed or seed-stage startup., Getting AI consulting and data engineering handled by one small, accountable team.
Typical project type Retainer Fixed project

QuantumBlack, AI by McKinsey vs SoftKraft: pros and cons

QuantumBlack, AI by McKinsey
+ McKinsey's brand and existing C-suite relationships open doors most boutique consultancies can't.
+ Unusual origin story (Formula 1 performance analytics) reflects genuine engineering depth, not just strategy slides.
+ 1,000-plus dedicated AI staff across 40-plus global offices.
+ Positioned as a specialist unit within McKinsey, not a generic add-on practice.
- McKinsey-level pricing and engagement minimums put it out of reach for most small and mid-size buyers
- Being part of a large firm means less flexibility than an independent boutique on scope and timeline
SoftKraft
+ Smaller team size keeps overhead, and likely cost, below mid-size and enterprise consultancies.
+ 70% North American client base shows the team has adapted to US buyer expectations from Poland.
+ Founder-led leadership stays close to delivery rather than purely sales.
+ Startup and SME focus means scope and pricing fit smaller budgets from the outset.
- Team of 11-50 limits capacity to a handful of concurrent projects
- Less public case-study history than firms with a decade-plus track record

Who should choose QuantumBlack, AI by McKinsey?

A typical fit: running an enterprise-wide AI strategy engagement with board-level visibility.

Formula 1 analytics origin, now McKinsey's dedicated 1,000-plus person AI arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Healthcare.

Who should choose SoftKraft?

A typical fit: getting an AI strategy assessment for a pre-seed or seed-stage startup.

Small dedicated team priced for startup budgets, not enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.

Decision matrix: QuantumBlack, AI by McKinsey vs SoftKraft

Your situation Recommended choice
You need full-ownership delivery on a defined project scope SoftKraft
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 SoftKraft (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 SoftKraft

Use case QuantumBlack, AI by McKinsey fit SoftKraft fit Winner
Running an enterprise-wide AI strategy engagement with board-level visibility. Strong Limited QuantumBlack, AI by McKinsey
Needing a name-brand consultancy for a procurement process that requires one. Strong Limited QuantumBlack, AI by McKinsey
Getting an AI strategy assessment for a pre-seed or seed-stage startup. Limited Strong SoftKraft
Getting AI consulting and data engineering handled by one small, accountable team. Limited Strong SoftKraft
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: QuantumBlack, AI by McKinsey vs SoftKraft

QuantumBlack, AI by McKinsey (4.6/5) is the stronger overall choice for most AI Consulting projects. Formula 1 analytics origin, now McKinsey's dedicated 1,000-plus person AI arm.

SoftKraft (3.9/5) is worth a look if you need getting AI consulting and data engineering handled by one small, accountable team. If your situation matches that, SoftKraft is a competitive option.

Related comparisons

QuantumBlack, AI by McKinsey vs SoftKraft FAQ

Is QuantumBlack, AI by McKinsey better than SoftKraft?

QuantumBlack, AI by McKinsey (4.6/5) scores higher overall, but "better" depends on your use case. QuantumBlack, AI by McKinsey's strongest advantage: McKinsey's brand and existing C-suite relationships open doors most boutique consultancies can't. SoftKraft's strongest advantage: smaller team size keeps overhead, and likely cost, below mid-size and enterprise consultancies.

How do QuantumBlack, AI by McKinsey and SoftKraft differ in pricing?

QuantumBlack, AI by McKinsey uses retainer, enterprise contracting pricing. SoftKraft 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 SoftKraft?

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 company before shortlisting.

What are the main differences between QuantumBlack, AI by McKinsey and SoftKraft?

QuantumBlack, AI by McKinsey's primary differentiator is: formula 1 analytics origin, now McKinsey's dedicated 1,000-plus person AI arm. SoftKraft's primary differentiator is: small dedicated team priced for startup budgets, not enterprise rates. They also differ in team size (1,001-5,000 vs 11-50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Fintech, SaaS).

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