Artefact vs deepsense.ai: full comparison for 2026
Quick verdict
Artefact (4.3/5) edges ahead of deepsense.ai (3.9/5) overall. Artefact is the better choice for european consumer and retail brands, strategy through build. deepsense.ai is the stronger option for technical teams wanting AI strategy from model builders. 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 deepsense.ai: head-to-head summary
| Criterion | Artefact | deepsense.ai |
|---|---|---|
| Founded | 2014 | 2014 |
| HQ | Paris, France | Warsaw, Poland |
| Team size | 1,700+ | 120+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | Data and AI consulting from strategy partners and engineers in one firm, with a wide European base | Strategy workshops run by engineers who build vision and language models |
| Pricing model | Consulting fees per engagement; rates not published | $100–$149/hr (Clutch band); project-based |
| Min. engagement | Not disclosed | $25,000+ (Clutch) |
| Primary tech stack | Google Cloud, Azure, AWS | Python, PyTorch, AWS |
| Industries served | Consumer goods, Retail, Luxury, Financial services, Healthcare, Telecom | Retail, Manufacturing, Financial services, Healthcare, Media |
Artefact vs deepsense.ai: 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.
deepsense.ai
deepsense.ai was founded in 2014 in Warsaw and has an office in Palo Alto, with about 120 AI specialists, several of them Kaggle competition winners (per company website; independently unverifiable). It sells AI strategy consulting and workshops, though most of its work is engineering: computer vision, language models, and predictive systems. Clutch lists rates of $100–$149 an hour and a $25,000+ minimum project. That puts it at the top end for a Central European firm.
Services and capabilities: Artefact vs deepsense.ai
| Capability | Artefact | deepsense.ai |
|---|---|---|
| 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 deepsense.ai
| Framework / platform | Artefact | deepsense.ai |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Snowflake | ✓ | N/A |
Pricing comparison: Artefact vs deepsense.ai
| Criterion | Artefact | deepsense.ai |
|---|---|---|
| Minimum engagement | Not disclosed | $25,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Artefact vs deepsense.ai
| Dimension | Artefact | deepsense.ai |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Consumer goods, Retail, Luxury | Retail, Manufacturing, Financial services |
| 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. | Workshops to pick a first computer vision or language model project., Technical feasibility reviews for an AI product idea. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Artefact vs deepsense.ai: 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 |
| deepsense.ai | |
|---|---|
| + | Workshops are run by people who build models, so feasibility advice is concrete |
| + | Strong research background in computer vision and language models |
| + | Offers AI training for client teams |
| + | Published Clutch rates make budgeting easier |
| - | Strategy is a small part of an engineering-led business |
| - | Higher Clutch rate band than most Polish peers |
| - | No change-management practice |
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 deepsense.ai?
A typical fit: workshops to pick a first computer vision or language model project.
Strategy workshops run by engineers who build vision and language models. Minimum engagement starts at $25,000+ (Clutch). Works best with clients in Retail, Manufacturing, Financial services, Healthcare, Media.
Decision matrix: Artefact vs deepsense.ai
| 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 deepsense.ai ($25,000+ (Clutch)) |
| You need a large team across many countries | Artefact |
Use case fit: Artefact vs deepsense.ai
| Use case | Artefact fit | deepsense.ai 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 |
| Workshops to pick a first computer vision or language model project. | Limited | Strong | deepsense.ai |
| Technical feasibility reviews for an AI product idea. | Limited | Strong | deepsense.ai |
Verdict: Artefact vs deepsense.ai
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.
deepsense.ai (3.9/5) is worth a look if you need technical feasibility reviews for an AI product idea. If your situation matches that, deepsense.ai is a competitive option.
Related comparisons
Artefact vs deepsense.ai FAQ
Is Artefact better than deepsense.ai?
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. deepsense.ai's strongest advantage: workshops are run by people who build models, so feasibility advice is concrete.
How do Artefact and deepsense.ai differ in pricing?
Artefact's pricing: consulting fees per engagement; rates not published. deepsense.ai's pricing: $100–$149/hr (Clutch band); project-based with a minimum engagement of $25,000+ (Clutch). 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 deepsense.ai?
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 Artefact and deepsense.ai?
Artefact's primary differentiator is: data and AI consulting from strategy partners and engineers in one firm, with a wide European base. deepsense.ai's primary differentiator is: strategy workshops run by engineers who build vision and language models. They also differ in team size (1,700+ vs 120+), minimum engagement (Not disclosed vs $25,000+ (Clutch)), and primary industries served (Consumer goods, Retail vs Retail, Manufacturing).
Verify all details directly with each consultant before making a decision.