Artefact vs Quantiphi: full comparison for 2026
Quick verdict
Artefact (4.3/5) edges ahead of Quantiphi (4.0/5) overall. Artefact is the better choice for european consumer and retail brands, strategy through build. Quantiphi is the stronger option for companies committed to Google Cloud or AWS. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Artefact vs Quantiphi: head-to-head summary
| Criterion | Artefact | Quantiphi |
|---|---|---|
| Founded | 2014 | 2013 |
| HQ | Paris, France | Marlborough, USA |
| Team size | 1,700+ | 4,000 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Data and AI consulting from strategy partners and engineers in one firm, with a wide European base | Use-case discovery from a top-tier Google Cloud and AWS engineering partner |
| Pricing model | Consulting fees per engagement; rates not published | Project and dedicated-team pricing; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Google Cloud, Azure, AWS | Google Cloud, AWS, NVIDIA |
| Industries served | Consumer goods, Retail, Luxury, Financial services, Healthcare, Telecom | Healthcare, Financial services, Insurance, Media, Public sector, Retail |
Artefact vs Quantiphi: overview
Artefact
Artefact was founded in Paris in 2014 and now employs more than 1,700 people in 31 offices across 25 countries. In 2025 private equity firm Cinven bought a majority stake that valued the business at over €1 billion, and Artefact has said it plans to triple in size by 2030 through hiring and acquisitions. Consulting partners handle AI strategy and data governance while its engineers build data platforms and models, so one firm covers the route from roadmap to production. Most clients are large consumer, retail, and luxury brands. Think of it as a European management consultancy with a much bigger data bench than usual.
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and has around 4,000 employees. It holds top partner tiers with Google Cloud, AWS, and NVIDIA, according to its own materials, and ISG named it a Leader for AI and machine learning services on Google Cloud in its 2024 Provider Lens report. Its strategy offer is mostly a front end to engineering: use-case discovery and roadmaps that lead into builds on those platforms. It makes most sense when the platform decision is already made.
Services and capabilities: Artefact vs Quantiphi
| Capability | Artefact | Quantiphi |
|---|---|---|
| Readiness assessment | ✗ | ✓ |
| Use-case prioritization | ✗ | ✓ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✓ | ✗ |
| Build vs. buy advice | ✗ | ✗ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✗ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: Artefact vs Quantiphi
| Framework / platform | Artefact | Quantiphi |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Snowflake | ✓ | ✓ |
Pricing comparison: Artefact vs Quantiphi
| Criterion | Artefact | Quantiphi |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Artefact vs Quantiphi
| Dimension | Artefact | Quantiphi |
|---|---|---|
| Best company size | Mid-market to enterprise | Mid-market to enterprise |
| Best industries | Consumer goods, Retail, Luxury | Healthcare, Financial services, Insurance |
| Best use cases | Building a data and AI roadmap for a consumer brand selling in several European markets., Setting up data governance before expanding marketing AI. | AI roadmaps for companies already standardized on Google Cloud., Document and speech AI for healthcare and insurance. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Artefact vs Quantiphi: pros and cons
| Artefact | |
|---|---|
| + | Strategy partners and data engineers work in one firm, so the plan and the build share owners |
| + | Offices in 25 countries help companies running AI programs across several markets |
| + | Runs its own training school (Artefact School of Data) for client teams |
| + | Deep experience with consumer and retail brands on marketing and customer data |
| - | Majority-owned by Cinven since 2025, with an acquisition-led growth plan that may reshape teams and focus |
| - | Clients skew toward large brands, so smaller companies may find engagements heavier than they need |
| - | Less visible in industrial and manufacturing AI than in consumer sectors |
| Quantiphi | |
|---|---|
| + | Deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report |
| + | Moves from discovery to build without changing vendors |
| + | Large engineering bench for document, speech, and vision projects |
| + | Experience with healthcare and public-sector data |
| - | Advice is shaped by its platform partnerships |
| - | Little board-level or organizational change work |
| - | Partner-tier claims come from its own recruiting material, with ISG's report as the independent check |
Who should choose Artefact?
A typical fit: building a data and AI roadmap for a consumer brand selling in several European markets.
Data and AI consulting from strategy partners and engineers in one firm, with a wide European base. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Luxury, Financial services, Healthcare, Telecom.
Who should choose Quantiphi?
A typical fit: AI roadmaps for companies already standardized on Google Cloud.
Use-case discovery from a top-tier Google Cloud and AWS engineering partner. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Insurance, Media, Public sector, Retail.
Decision matrix: Artefact vs Quantiphi
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | Artefact |
| AI will change roles and processes for many staff | Neither; plan change management separately |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: Artefact (Not disclosed) vs Quantiphi (Not disclosed) |
| You need a large team across many countries | Quantiphi |
Use case fit: Artefact vs Quantiphi
| Use case | Artefact fit | Quantiphi fit | Winner |
|---|---|---|---|
| Building a data and AI roadmap for a consumer brand selling in several European markets. | Strong | Limited | Artefact |
| Setting up data governance before expanding marketing AI. | Strong | Limited | Artefact |
| AI roadmaps for companies already standardized on Google Cloud. | Limited | Strong | Quantiphi |
| Document and speech AI for healthcare and insurance. | Limited | Strong | Quantiphi |
Verdict: Artefact vs Quantiphi
Artefact (4.3/5) is the stronger overall choice for most AI Strategy Consulting projects. Data and AI consulting from strategy partners and engineers in one firm, with a wide European base.
Quantiphi (4.0/5) is worth a look if you need document and speech AI for healthcare and insurance. If your situation matches that, Quantiphi is a competitive option.
Related comparisons
Artefact vs Quantiphi FAQ
Is Artefact better than Quantiphi?
Artefact (4.3/5) scores higher overall, but "better" depends on your use case. Artefact's strongest advantage: strategy partners and data engineers work in one firm, so the plan and the build share owners. Quantiphi's strongest advantage: deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report.
How do Artefact and Quantiphi differ in pricing?
Artefact's pricing: consulting fees per engagement; rates not published. Quantiphi's pricing: project and dedicated-team pricing; 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 Quantiphi?
Quantiphi is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between Artefact and Quantiphi?
Artefact's primary differentiator is: data and AI consulting from strategy partners and engineers in one firm, with a wide European base. Quantiphi's primary differentiator is: use-case discovery from a top-tier Google Cloud and AWS engineering partner. They also differ in team size (1,700+ vs 4,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Consumer goods, Retail vs Healthcare, Financial services).
Verify all details directly with each consultant before making a decision.