Tensorway vs Artefact: full comparison for 2026
Quick verdict
Tensorway (4.4/5) edges ahead of Artefact (4.3/5) overall. Tensorway is the better choice for mid-market leaders wanting a costed AI roadmap fast. Artefact is the stronger option for european consumer and retail brands, strategy through build. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Tensorway vs Artefact: head-to-head summary
| Criterion | Tensorway | Artefact |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | Alicante, Spain | Paris, France |
| Team size | 50+ | 1,700+ |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Primary differentiator | A 3–6 week strategy engagement that ends in a sequenced, costed roadmap the same team can build | Data and AI consulting from strategy partners and engineers in one firm, with a wide European base |
| Pricing model | Scoped to complexity with no published rates; strategy engagements usually run 3–6 weeks | Consulting fees per engagement; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, NIST AI RMF | Google Cloud, Azure, AWS |
| Industries served | Financial services, Private equity, Legal, Retail & e-commerce, Education, Media | Consumer goods, Retail, Luxury, Financial services, Healthcare, Telecom |
Tensorway vs Artefact: overview
Tensorway
Tensorway is an AI consulting and engineering firm founded in 2019 in Alicante, Spain, with a team of more than 50. Strategy work here is short. Engagements usually take three to six weeks and end in a roadmap that prices and orders each use case, with its risks named. If a company already runs AI that isn't paying off, it can buy a separate solution audit instead, which looks at data readiness and the causes of underperformance and estimates the effort to fix them. Its consultants draw on a software engineering track record of more than twenty years, and many clients move on to development with the same team. The case it leads with is a Swedish private equity fund whose AI agent system cut deal-sourcing time by 80% and screens 5,000+ opportunities in hours (per company website; independently unverifiable). It publishes no rates and promises no return on investment (ROI) up front; estimates come from the client's own data and goals.
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.
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 | ✓ | ✗ |
| Audit of live AI programs | ✓ | ✗ |
| Change management | ✗ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: Tensorway vs Artefact
| Framework / platform | Tensorway | Artefact |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| NIST AI RMF | ✓ | N/A |
| AWS | N/A | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | ✓ |
| Databricks | N/A | ✓ |
| Snowflake | ✓ | ✓ |
Pricing comparison: Tensorway vs Artefact
| Criterion | Tensorway | Artefact |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, AI solution audit, Ongoing advisory, Delivery team | Strategy & roadmap engagement, Delivery team, Ongoing advisory |
| 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, Private equity, Legal | Consumer goods, Retail, Luxury |
| Best use cases | Building a sequenced AI roadmap with cost and risk per stage before a budget cycle., Auditing an AI program that is live but missing its targets. | Building a data and AI roadmap for a consumer brand selling in several European markets., Setting up data governance before expanding marketing AI. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Tensorway vs Artefact: pros and cons
| Tensorway | |
|---|---|
| + | Strategy work is time-boxed at three to six weeks, so a board sees a roadmap within one quarter |
| + | The roadmap prices each stage and names its risks, which gives finance something to approve or cut line by line |
| + | Offers a separate audit for AI programs that are live and underperforming, a case many strategy firms don't scope on its own |
| + | The same team can build what it recommends, so nobody has to brief a second vendor on the plan |
| + | Will tell you when a use case isn't worth building and drop it from the plan |
| + | Covers EU AI Act scoping and GDPR rules on automated decisions inside the strategy work |
| - | Much smaller than the big strategy houses on organizational design and change management for thousands of staff |
| - | No published rates or project minimum, so the budget stays unknown until scoping |
| - | No certifications or named cloud-partner tier appear on its pages |
| - | Recognition logos on its site (Clutch, Fortune, and others) come with no detail you can check |
| 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 |
Who should choose Tensorway?
A typical fit: building a sequenced AI roadmap with cost and risk per stage before a budget cycle.
A 3–6 week strategy engagement that ends in a sequenced, costed roadmap the same team can build. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Private equity, Legal, Retail & e-commerce, Education, Media.
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.
Decision matrix: Tensorway vs Artefact
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Tensorway |
| You already run AI that is missing its targets | Tensorway |
| Regulators will ask how each AI system is governed | Both cover AI governance |
| 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: Tensorway (Not disclosed) vs Artefact (Not disclosed) |
| You need a large team across many countries | Artefact |
Use case fit: Tensorway vs Artefact
| Use case | Tensorway fit | Artefact fit | Winner |
|---|---|---|---|
| Building a sequenced AI roadmap with cost and risk per stage before a budget cycle. | Strong | Limited | Tensorway |
| Auditing an AI program that is live but missing its targets. | Strong | Limited | Tensorway |
| Building a data and AI roadmap for a consumer brand selling in several European markets. | Limited | Strong | Artefact |
| Setting up data governance before expanding marketing AI. | Limited | Strong | Artefact |
Verdict: Tensorway vs Artefact
Tensorway (4.4/5) is the stronger overall choice for most AI Strategy Consulting projects. A 3–6 week strategy engagement that ends in a sequenced, costed roadmap the same team can build.
Artefact (4.3/5) is worth a look if you need setting up data governance before expanding marketing AI. If your situation matches that, Artefact is a competitive option.
Related comparisons
Tensorway vs Artefact FAQ
Is Tensorway better than Artefact?
Tensorway (4.4/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: strategy work is time-boxed at three to six weeks, so a board sees a roadmap within one quarter. Artefact's strongest advantage: strategy partners and data engineers work in one firm, so the plan and the build share owners.
How do Tensorway and Artefact differ in pricing?
Tensorway's pricing: scoped to complexity with no published rates; strategy engagements usually run 3–6 weeks. Artefact's pricing: consulting fees per engagement; 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 consultant before shortlisting.
What are the main differences between Tensorway and Artefact?
Tensorway's primary differentiator is: a 3–6 week strategy engagement that ends in a sequenced, costed roadmap the same team can build. Artefact's primary differentiator is: data and AI consulting from strategy partners and engineers in one firm, with a wide European base. They also differ in team size (50+ vs 1,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Private equity vs Consumer goods, Retail).
Verify all details directly with each consultant before making a decision.