Artefact vs Futurice: full comparison for 2026
Quick verdict
Artefact (4.2/5) edges ahead of Futurice (3.9/5) overall. Artefact is the better choice for large consumer brands across European markets. Futurice is the stronger option for nordic firms redesigning services around AI. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
Artefact vs Futurice: head-to-head summary
| Criterion | Artefact | Futurice |
|---|---|---|
| Founded | 2014 | 2000 |
| HQ | Paris, France | Helsinki, Finland |
| Team size | 1,700+ | 800+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Data governance and AI planning with engineers in the same firm | AI strategy combined with service design and operating-model work |
| 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 | Azure, AWS, Google Cloud |
| Industries served | Consumer goods, Retail, Luxury, Financial services, Telecom | Retail, Media, Public sector, Manufacturing, Financial services |
Artefact vs Futurice: 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.
Futurice
Futurice was founded in Helsinki in 2000 and says it has more than 800 people across Europe. Its strategy and renewal team runs AI strategy and operating-model work with executives, and design teams shape how people will actually use the result. Engineering follows if the client wants it. The approach suits Nordic companies that see AI as a service-design problem as much as a technical one.
Services and capabilities: Artefact vs Futurice
| Capability | Artefact | Futurice |
|---|---|---|
| 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 Futurice
| Framework / platform | Artefact | Futurice |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | ✓ |
| DORA | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
Pricing comparison: Artefact vs Futurice
| Criterion | Artefact | Futurice |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Multi-use-case advisory, Ongoing advisory, Delivery team | Multi-use-case advisory, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Artefact vs Futurice
| Dimension | Artefact | Futurice |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Consumer goods, Retail, Luxury | Retail, Media, Public sector |
| Best use cases | Data governance before scaling marketing AI., AI planning for a consumer brand in many EU markets. | Redesigning a customer service around AI., Operating-model change for AI adoption. |
| Typical project type | Multi-use-case advisory | Multi-use-case advisory |
Artefact vs Futurice: 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 |
| Futurice | |
|---|---|
| + | Design-led thinking about how staff and customers use AI |
| + | Works with executives on operating models |
| + | Can build afterward |
| - | Governance and regulation are less central to its offer |
| - | Ownership details are not recently published |
| - | Advice often leads into its own delivery |
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 Futurice?
A typical fit: redesigning a customer service around AI.
AI strategy combined with service design and operating-model work. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Media, Public sector, Manufacturing, Financial services.
Decision matrix: Artefact vs Futurice
| 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 | Artefact |
| 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 Futurice (Not disclosed) |
| You need advisers in many countries at once | Artefact |
Use case fit: Artefact vs Futurice
| Use case | Artefact fit | Futurice fit | Winner |
|---|---|---|---|
| Data governance before scaling marketing AI. | Strong | Limited | Artefact |
| AI planning for a consumer brand in many EU markets. | Strong | Limited | Artefact |
| Redesigning a customer service around AI. | Limited | Strong | Futurice |
| Operating-model change for AI adoption. | Limited | Strong | Futurice |
Verdict: Artefact vs Futurice
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.
Futurice (3.9/5) is worth a look if you need operating-model change for AI adoption. If your situation matches that, Futurice is a competitive option.
Related comparisons
Artefact vs Futurice FAQ
Is Artefact better than Futurice?
Artefact (4.2/5) scores higher overall, but "better" depends on your use case. Artefact's strongest advantage: data governance is a core practice. Futurice's strongest advantage: design-led thinking about how staff and customers use AI.
How do Artefact and Futurice differ in pricing?
Artefact's pricing: consulting fees; rates not published. Futurice'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 Futurice?
Artefact 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 Futurice?
Artefact's primary differentiator is: data governance and AI planning with engineers in the same firm. Futurice's primary differentiator is: AI strategy combined with service design and operating-model work. They also differ in team size (1,700+ vs 800+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Consumer goods, Retail vs Retail, Media).
Verify all details directly with each firm before making a decision.