KPMG
London-headquartered, with named AI products in aIQ and Mystro
Founded 1987 | London, United Kingdom | 251,000-275,000 employees
AI ConsultingEnterprise AIMachine Learning
What is KPMG?
KPMG formed in 1987 from the merger of Peat Marwick International and Klynveld Main Goerdeler, with a lineage tracing back to 1897, and runs today out of London. Headcount estimates land somewhere between roughly 251,875 and 275,288 depending on the reporting period cited. Its AI service line includes named products, aIQ and Mystro, aimed at AI transformation and digital labor optimization, which is more productized than most Big Four peers, though the firm hasn't disclosed how much staff sits specifically inside the AI practice.
KPMG works primarily with clients in Financial services, Healthcare, Manufacturing, Government sectors. Its primary differentiator is: Named AI products, aIQ and Mystro, rather than purely bespoke advisory work.
KPMG tech stack and services
PythonAWSAzureGoogle CloudSAPKubernetes
| Service area |
|---|
| AI Consulting |
| Enterprise AI |
| Machine Learning |
KPMG pricing
Short answer: KPMG uses a retainer, enterprise contracting pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
KPMG does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
KPMG pros and cons
| Advantages | Things to consider |
|---|---|
| +Scale at 251,000-plus people supports the largest enterprise engagements. | -Reported headcount swings by roughly 25,000 depending on which source and period you check |
| +Named, productized AI tools give buyers something concrete to evaluate instead of a generic pitch. | -Big Four pricing and minimum engagement sizes rule out most small and mid-size buyers |
| +Nearly 130 years of institutional history dating back to 1897. | |
| +A London headquarters simplifies EU and UK contracting. |
KPMG vs alternatives
How KPMG compares to the other top AI Consulting agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Buyers who want measurable ROI, not just a... | An 11-step process that runs from data profiling straight through model validation | 4.8 | Full comparison |
| QuantumBlack, AI by McKinsey | Enterprises that want McKinsey's name behind real engineering... | A Formula 1 data-science pedigree inside a 1,000-plus person McKinsey practice | 4.8 | Full comparison |
| BCG X | Enterprises wanting BCG's name attached to a genuine... | Over 3,000 in-house technologists who build what the practice recommends | 4.7 | Full comparison |
| IBM Consulting | IBM-platform enterprises wanting advisory work tied directly to... | 160,000 staff with direct integration into IBM's own watsonx platform | 4.3 | Full comparison |
| Cognizant | Large enterprises wanting AI advisory from an established... | 349,800 employees, now explicitly repositioned around AI Builder branding | 4.2 | Full comparison |
| Capgemini Invent | European enterprises wanting AI strategy from a Paris-headquartered... | A 17,000-plus person strategy and design brand backed by the larger Capgemini Group | 4.2 | Full comparison |
| Deloitte | Global enterprises wanting AI strategy from a Big... | The largest professional services network in the world, with a dedicated AI research institute | 4.2 | Full comparison |
| PwC | Enterprises wanting AI advisory bundled with broader Big... | A 370,000-person global network running AI advisory inside its digital transformation practice | 4.1 | Full comparison |
| EPAM Systems | Enterprises wanting AI advisory paired directly with engineering... | Engineering-heavy advisory where strategists and the build team sit together | 4.1 | Full comparison |
| Accenture | Global enterprises running AI advisory across many business... | 60,000-plus trained generative AI practitioners inside a global consulting organization | 4.0 | Full comparison |
| Infosys | Global enterprises needing AI advisory inside a full... | One of the world's largest IT services firms, with a dedicated London-based advisory arm | 4.0 | Full comparison |
| Grid Dynamics | Enterprises wanting a publicly-audited AI advisory and delivery... | A Nasdaq listing (GDYN) with quarterly financial disclosure | 4.0 | Full comparison |
| Andersen | Enterprises wanting AI advisory paired with broad platform... | 3,500-plus specialists across 20 global offices with a named AI advisory practice | 4.0 | Full comparison |
| ITRex Group | Enterprises wanting AI strategy grounded in existing data... | Fifteen-plus years pairing AI advisory with the data engineering it actually depends on | 4.0 | Full comparison |
| Sigma Software Group | Nordic and EU enterprises wanting AI advisory from... | A Nordic (Swedish) legal entity, unusual among agencies mostly based further east in Europe | 4.0 | Full comparison |
| Exadel | Enterprises wanting AI advisory as part of a... | Over 25 years of enterprise technology advisory history predating most AI-focused competitors | 4.0 | Full comparison |
| N-iX | Enterprises wanting AI readiness assessment paired with cloud... | 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens | 4.0 | Full comparison |
| Innowise Group | Buyers wanting AI advisory with a direct path... | AI advisory as an entry point into full-cycle delivery under one 2,000-plus person agency | 4.0 | Full comparison |
| Coherent Solutions | Enterprises wanting AI advisory with a choice of... | A nine-country offshore delivery network built over three decades | 3.9 | Full comparison |
| Valiance Solutions | Government agencies needing explainable AI strategy. | Genuine government procurement experience, rare among AI advisory agencies | 3.9 | Full comparison |
| HYS Enterprise | EU clients wanting Netherlands-based AI advisory with Poland... | An Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting | 3.9 | Full comparison |
| Belitsoft | Teams wanting AI advisory from an established staff... | Twenty years of outsourcing delivery with AI advisory added as a distinctly recent practice | 3.9 | Full comparison |
| DataRoot Labs | Startups needing applied AI research capacity. | A research-oriented engagement style built for startup speed, not enterprise procurement | 3.9 | Full comparison |
| InData Labs | Teams needing data science advisory before an AI... | A data-science-first heritage predating the generative AI branding wave | 3.9 | Full comparison |
| SoftKraft | Startups on tight budgets needing AI strategy advice. | A small dedicated team priced for startup budgets, not enterprise rates | 3.9 | Full comparison |
| Softermii | Teams needing AI advisory inside a broader product... | Full-stack product development capability layered with newer AI advisory service lines | 3.9 | Full comparison |
| Simform | Enterprises pairing AI advisory with a larger cloud... | 1,400-plus engineers spanning six continents inside one accountable agency | 3.9 | Full comparison |
| 10Pearls | Enterprises wanting AI advisory bundled with digital transformation. | Two decades of digital transformation delivery with AI advisory as an established add-on | 3.9 | Full comparison |
| DataArt | Enterprises in finance or healthcare needing AI advisory... | Nearly 30 years of engineering history across 30-plus global delivery locations | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI advisory alongside blockchain or IoT... | Combines AI advisory with blockchain and IoT engineering under one roof | 3.8 | Full comparison |
KPMG FAQ
What is KPMG?
London-headquartered, with named AI products in aIQ and Mystro
How much does KPMG charge?
KPMG uses retainer, enterprise contracting pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does KPMG use?
KPMG works with Python, AWS, Azure, Google Cloud, SAP, Kubernetes. Primary industries served include Financial services, Healthcare, Manufacturing, Government.
Is KPMG right for enterprise?
Enterprises wanting named AI products alongside Big Four advisory. 251,000-275,000 team size. Key consideration: Reported headcount swings by roughly 25,000 depending on which source and period you check.
What are the best KPMG alternatives?
The best alternatives to KPMG depend on your use case. Top options are:
- Tensorway: an 11-step process that runs from data profiling straight through model validation
- QuantumBlack, AI by McKinsey: a formula 1 data-science pedigree inside a 1,000-plus person mckinsey practice
- BCG X: over 3,000 in-house technologists who build what the practice recommends
Compare KPMG with other AI Consulting agencies
KPMG vs Tensorway KPMG vs QuantumBlack, AI by McKinsey KPMG vs BCG X KPMG vs IBM Consulting KPMG vs Cognizant KPMG vs Capgemini Invent KPMG vs Deloitte KPMG vs PwC KPMG vs EPAM Systems KPMG vs Accenture KPMG vs Infosys KPMG vs Grid Dynamics KPMG vs Andersen KPMG vs ITRex Group KPMG vs Sigma Software Group KPMG vs Exadel KPMG vs N-iX KPMG vs Innowise Group KPMG vs Coherent Solutions KPMG vs Valiance Solutions KPMG vs HYS Enterprise KPMG vs Belitsoft KPMG vs DataRoot Labs KPMG vs InData Labs KPMG vs SoftKraft KPMG vs Softermii KPMG vs Simform KPMG vs 10Pearls KPMG vs DataArt KPMG vs Intellectsoft
Verify all details directly with KPMG before making a decision.