Tensorway vs Artefact: full comparison for 2026
Quick verdict
Tensorway (4.5/5) edges ahead of Artefact (4.2/5) overall. Tensorway is the better choice for COOs and CFOs wanting a vendor-neutral AI plan. Artefact is the stronger option for large consumer brands across European markets. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
Tensorway vs Artefact: head-to-head summary
| Criterion | Tensorway | Artefact |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | Alicante, Spain | Paris, France |
| Team size | 50+ | 1,700+ |
| Rating | 4.5 / 5 | 4.2 / 5 |
| Primary differentiator | Two-interview method per use case, a written drop list, and a roadmap another vendor can implement | Data governance and AI planning with engineers in the same firm |
| Pricing model | Price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope | Consulting fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, DORA | EU AI Act, GDPR, Google Cloud |
| Industries served | Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing | Consumer goods, Retail, Luxury, Financial services, Telecom |
Tensorway vs Artefact: overview
Tensorway
Tensorway is a Spanish AI firm founded in 2019 in Alicante, with a team of more than 50 and advisers who come from a software engineering lineage stretching back more than twenty years. Each candidate use case gets two interviews: one with the person who proposed it and one with the person who actually does the work, since their accounts often differ. Then the data behind each case is traced, costed, and classified under the EU AI Act. The output includes run cost at expected volume, a build sequence with cost per stage, and a list of use cases to drop, each with a reason. The roadmap is written so an internal team or another vendor can implement it, and Tensorway will say so when the honest answer is not to build AI at all. Among its anonymized clients is a German enterprise that used its help to organize more than 200 EU policies (per company website; independently unverifiable).
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.
Services and capabilities: Tensorway vs Artefact
| Capability | Tensorway | Artefact |
|---|---|---|
| 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: Tensorway vs Artefact
| Framework / platform | Tensorway | Artefact |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | ✓ | N/A |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | N/A | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | ✓ |
Pricing comparison: Tensorway vs Artefact
| Criterion | Tensorway | Artefact |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Ongoing advisory | Multi-use-case advisory, Ongoing advisory, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Artefact
| Dimension | Tensorway | Artefact |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Financial services, Fintech, Insurance | Consumer goods, Retail, Luxury |
| Best use cases | Deciding which AI use cases are worth funding, and which to drop., EU AI Act classification of candidate use cases before any build. | Data governance before scaling marketing AI., AI planning for a consumer brand in many EU markets. |
| Typical project type | Fixed-scope assessment | Multi-use-case advisory |
Tensorway vs Artefact: pros and cons
| Tensorway | |
|---|---|
| + | Interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides |
| + | Delivers a written list of ideas to drop, with reasons, alongside the ones to fund |
| + | Roadmaps are written for any implementer, so the advice isn't a sales funnel |
| + | Prices each stage and the run cost at expected volume |
| + | Covers EU AI Act classification, GDPR automated-decision rules, and DORA for financial firms |
| - | Gives no standard timeline, so a multi-team scope can run longer than a buyer expects |
| - | A bench of 50+ is small next to the Big Four for multi-country governance programs |
| - | Advises on ISO/IEC 42001 and NIST AI RMF but holds no certification itself |
| - | Recognition logos on its site come without detail you can verify |
| 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 |
Who should choose Tensorway?
A typical fit: deciding which AI use cases are worth funding, and which to drop.
Two-interview method per use case, a written drop list, and a roadmap another vendor can implement. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing.
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.
Decision matrix: Tensorway vs Artefact
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Tensorway |
| Finance needs run costs before approving anything | Tensorway |
| 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: Tensorway (Not disclosed) vs Artefact (Not disclosed) |
| You need advisers in many countries at once | Artefact |
Use case fit: Tensorway vs Artefact
| Use case | Tensorway fit | Artefact fit | Winner |
|---|---|---|---|
| Deciding which AI use cases are worth funding, and which to drop. | Strong | Limited | Tensorway |
| EU AI Act classification of candidate use cases before any build. | Strong | Limited | Tensorway |
| Data governance before scaling marketing AI. | Limited | Strong | Artefact |
| AI planning for a consumer brand in many EU markets. | Limited | Strong | Artefact |
Verdict: Tensorway vs Artefact
Tensorway (4.5/5) is the stronger overall choice for most AI Advisory projects. Two-interview method per use case, a written drop list, and a roadmap another vendor can implement.
Artefact (4.2/5) is worth a look if you need AI planning for a consumer brand in many EU markets. If your situation matches that, Artefact is a competitive option.
Related comparisons
Tensorway vs Artefact FAQ
Is Tensorway better than Artefact?
Tensorway (4.5/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides. Artefact's strongest advantage: data governance is a core practice.
How do Tensorway and Artefact differ in pricing?
Tensorway's pricing: price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope. Artefact'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: Tensorway or Artefact?
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 Tensorway and Artefact?
Tensorway's primary differentiator is: two-interview method per use case, a written drop list, and a roadmap another vendor can implement. Artefact's primary differentiator is: data governance and AI planning with engineers in the same firm. They also differ in team size (50+ vs 1,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Fintech vs Consumer goods, Retail).
Verify all details directly with each firm before making a decision.