Artefact vs BearingPoint: full comparison for 2026
Quick verdict
Artefact (4.2/5) edges ahead of BearingPoint (4.1/5) overall. Artefact is the better choice for large consumer brands across European markets. BearingPoint is the stronger option for european banks pairing AI with regulatory reporting. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
Artefact vs BearingPoint: head-to-head summary
| Criterion | Artefact | BearingPoint |
|---|---|---|
| Founded | 2014 | 2002 |
| HQ | Paris, France | Amsterdam, Netherlands |
| Team size | 1,700+ | ~6,200 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | Data governance and AI planning with engineers in the same firm | European consulting with regulatory technology products from the same group |
| Pricing model | Consulting fees; rates not published | Consulting fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, Google Cloud | EU AI Act, DORA, SAP |
| Industries served | Consumer goods, Retail, Luxury, Financial services, Telecom | Banking, Insurance, Public sector, Manufacturing, Telecom |
Artefact vs BearingPoint: overview
Artefact
Since its founding in Paris in 2014, Artefact has grown to more than 1,700 people in 25 countries. Cinven bought a majority stake in 2025 at a valuation above €1 billion, and the firm plans to triple in size by 2030, partly through acquisitions. Its advisory partners handle data governance and AI planning for large consumer brands. The same firm then builds, which is efficient but less neutral than a pure adviser.
BearingPoint
BearingPoint is headquartered in Amsterdam, has about 6,200 employees, and passed €1 billion in annual revenue in 2023. Its consulting unit handles advisory work, while a separate solutions business sells regulatory reporting and analytics tools. Recent AI work includes an agentic AI project in financial crime prevention for Danske Bank. Expect a European consultancy that is comfortable with regulators and runs AI advice on a fairly traditional consulting model.
Services and capabilities: Artefact vs BearingPoint
| Capability | Artefact | BearingPoint |
|---|---|---|
| Readiness assessment | ✗ | ✗ |
| Use-case prioritization | ✓ | ✓ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✓ | ✓ |
| Build vs. buy advice | ✗ | ✗ |
| Independent audit or assurance | ✗ | ✗ |
| Roadmap any vendor can implement | ✗ | ✗ |
| Delivery capability after advice | ✓ | ✓ |
Frameworks and platforms: Artefact vs BearingPoint
| Framework / platform | Artefact | BearingPoint |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | N/A |
| DORA | N/A | ✓ |
| NIST AI RMF | N/A | N/A |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | N/A |
| Google Cloud | ✓ | N/A |
Pricing comparison: Artefact vs BearingPoint
| Criterion | Artefact | BearingPoint |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Multi-use-case advisory, Ongoing advisory, Delivery team | Multi-use-case advisory, Ongoing advisory, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Artefact vs BearingPoint
| Dimension | Artefact | BearingPoint |
|---|---|---|
| Best company size | Mid-market to enterprise | Mid-market to enterprise |
| Best industries | Consumer goods, Retail, Luxury | Banking, Insurance, Public sector |
| Best use cases | Data governance before scaling marketing AI., AI planning for a consumer brand in many EU markets. | AI in financial crime prevention., Regulatory reporting combined with AI planning. |
| Typical project type | Multi-use-case advisory | Multi-use-case advisory |
Artefact vs BearingPoint: pros and cons
| Artefact | |
|---|---|
| + | Data governance is a core practice |
| + | Advisers and engineers share one firm |
| + | Present in 25 countries |
| - | Majority-owned by Cinven since 2025, with acquisition-led growth ahead |
| - | Advice tends to lead to its own delivery work |
| - | Best suited to large brands |
| BearingPoint | |
|---|---|
| + | Strong in European banking regulation |
| + | Financial crime AI work with a large Nordic bank |
| + | Mid-size alternative to the Big Four |
| - | Its own regulatory software can shape advice |
| - | AI governance is a newer practice |
| - | Rates not published |
Who should choose Artefact?
A typical fit: data governance before scaling marketing AI.
Data governance and AI planning with engineers in the same firm. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Luxury, Financial services, Telecom.
Who should choose BearingPoint?
A typical fit: AI in financial crime prevention.
European consulting with regulatory technology products from the same group. Minimum engagement is not publicly disclosed. Works best with clients in Banking, Insurance, Public sector, Manufacturing, Telecom.
Decision matrix: Artefact vs BearingPoint
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Neither; write the build as a separate decision |
| Finance needs run costs before approving anything | Neither lists cost modeling; ask for a sample |
| Some of your use cases may be high-risk under the EU AI Act | Both cover AI Act classification |
| You need an outside check on a system already built | Neither; use a dedicated auditor |
| You want the same firm to build what it recommends | Both can deliver |
| Your budget is at the lower end | Compare: Artefact (Not disclosed) vs BearingPoint (Not disclosed) |
| You need advisers in many countries at once | BearingPoint |
Use case fit: Artefact vs BearingPoint
| Use case | Artefact fit | BearingPoint fit | Winner |
|---|---|---|---|
| Data governance before scaling marketing AI. | Strong | Limited | Artefact |
| AI planning for a consumer brand in many EU markets. | Strong | Limited | Artefact |
| AI in financial crime prevention. | Limited | Strong | BearingPoint |
| Regulatory reporting combined with AI planning. | Limited | Strong | BearingPoint |
Verdict: Artefact vs BearingPoint
Artefact (4.2/5) is the stronger overall choice for most AI Advisory projects. Data governance and AI planning with engineers in the same firm.
BearingPoint (4.1/5) is worth a look if you need regulatory reporting combined with AI planning. If your situation matches that, BearingPoint is a competitive option.
Related comparisons
Artefact vs BearingPoint FAQ
Is Artefact better than BearingPoint?
Artefact (4.2/5) scores higher overall, but "better" depends on your use case. Artefact's strongest advantage: data governance is a core practice. BearingPoint's strongest advantage: strong in European banking regulation.
How do Artefact and BearingPoint differ in pricing?
Artefact's pricing: consulting fees; rates not published. BearingPoint's pricing: consulting fees; rates not published. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Artefact or BearingPoint?
BearingPoint 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 Artefact and BearingPoint?
Artefact's primary differentiator is: data governance and AI planning with engineers in the same firm. BearingPoint's primary differentiator is: european consulting with regulatory technology products from the same group. They also differ in team size (1,700+ vs ~6,200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Consumer goods, Retail vs Banking, Insurance).
Verify all details directly with each firm before making a decision.