Artefact vs Tiger Analytics: full comparison for 2026
Quick verdict
Artefact (4.3/5) edges ahead of Tiger Analytics (4.1/5) overall. Artefact is the better choice for european consumer and retail brands, strategy through build. Tiger Analytics is the stronger option for enterprises wanting strategy plus lower-cost offshore delivery. 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 Tiger Analytics: head-to-head summary
| Criterion | Artefact | Tiger Analytics |
|---|---|---|
| Founded | 2014 | 2011 |
| HQ | Paris, France | Santa Clara, USA |
| Team size | 1,700+ | 4,000+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Data and AI consulting from strategy partners and engineers in one firm, with a wide European base | AI roadmap work that feeds directly into large India-based data science teams |
| 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 | Azure, AWS, Google Cloud |
| Industries served | Consumer goods, Retail, Luxury, Financial services, Healthcare, Telecom | Consumer goods, Retail, Insurance, Banking, Manufacturing, Healthcare |
Artefact vs Tiger Analytics: 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.
Tiger Analytics
Tiger Analytics was founded in 2011, is based in Santa Clara, California, and says it has 4,000+ technologists and consultants, most of them delivering from India (per company website; independently unverifiable). It is privately held. Strategy work usually takes the form of an AI or analytics roadmap that leads into data science and engineering projects run by its own teams. The appeal is cost after the plan is agreed: offshore delivery keeps the build affordable.
Services and capabilities: Artefact vs Tiger Analytics
| Capability | Artefact | Tiger Analytics |
|---|---|---|
| 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 Tiger Analytics
| Framework / platform | Artefact | Tiger Analytics |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| Snowflake | ✓ | ✓ |
Pricing comparison: Artefact vs Tiger Analytics
| Criterion | Artefact | Tiger Analytics |
|---|---|---|
| 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 Tiger Analytics
| Dimension | Artefact | Tiger Analytics |
|---|---|---|
| Best company size | Mid-market to enterprise | Mid-market to enterprise |
| Best industries | Consumer goods, Retail, Luxury | Consumer goods, Retail, 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. | Analytics and AI roadmaps for consumer goods and retail companies., Demand forecasting and pricing models after a planning phase. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Artefact vs Tiger Analytics: 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 |
| Tiger Analytics | |
|---|---|
| + | Delivery costs after the strategy are lower than at US or European firms |
| + | Large data science bench for forecasting, pricing, and marketing models |
| + | Privately held and focused on AI and analytics alone |
| + | Cost modeling is part of how it sizes use cases |
| - | Strategy work is mainly a front end to its delivery business |
| - | Change management and organizational design are not core practices |
| - | Time-zone gaps between India-based teams and US or European clients |
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 Tiger Analytics?
A typical fit: analytics and AI roadmaps for consumer goods and retail companies.
AI roadmap work that feeds directly into large India-based data science teams. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Insurance, Banking, Manufacturing, Healthcare.
Decision matrix: Artefact vs Tiger Analytics
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Tiger Analytics |
| 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 Tiger Analytics (Not disclosed) |
| You need a large team across many countries | Tiger Analytics |
Use case fit: Artefact vs Tiger Analytics
| Use case | Artefact fit | Tiger Analytics 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 |
| Analytics and AI roadmaps for consumer goods and retail companies. | Limited | Strong | Tiger Analytics |
| Demand forecasting and pricing models after a planning phase. | Limited | Strong | Tiger Analytics |
Verdict: Artefact vs Tiger Analytics
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.
Tiger Analytics (4.1/5) is worth a look if you need demand forecasting and pricing models after a planning phase. If your situation matches that, Tiger Analytics is a competitive option.
Related comparisons
Artefact vs Tiger Analytics FAQ
Is Artefact better than Tiger Analytics?
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. Tiger Analytics's strongest advantage: delivery costs after the strategy are lower than at US or European firms.
How do Artefact and Tiger Analytics differ in pricing?
Artefact's pricing: consulting fees per engagement; rates not published. Tiger Analytics'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 Tiger Analytics?
Tiger Analytics 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 Tiger Analytics?
Artefact's primary differentiator is: data and AI consulting from strategy partners and engineers in one firm, with a wide European base. Tiger Analytics's primary differentiator is: AI roadmap work that feeds directly into large India-based data science teams. 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 Consumer goods, Retail).
Verify all details directly with each consultant before making a decision.