Artefact vs RTS Labs: full comparison for 2026
Last updated: July 2026
Quick verdict
Artefact (4.5/5) edges ahead of RTS Labs (4.1/5) overall. Artefact is the better choice for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy. RTS Labs is the stronger option for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS. The right choice depends on your project size, budget, and required tech stack.
Artefact vs RTS Labs: head-to-head summary
| Criterion | Artefact | RTS Labs |
|---|---|---|
| Founded | 2014 | 2010 |
| HQ | Paris, France | Richmond, VA |
| Team size | 1,500 | 50–150 |
| Rating | 4.5 / 5 | 4.1 / 5 |
| Best for | Large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy | US mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS |
| Pricing model | T&M, retainer | Fixed project, T&M |
| Min. engagement | $50K+ | $20K+ |
| Primary tech stack | Python, Vertex AI, Azure ML | Python, Azure, AWS |
| Industries served | retail, healthcare, fintech, media, telecommunications, FMCG | financial, healthcare, manufacturing, logistics, saas |
Artefact vs RTS Labs: overview
Artefact
Artefact is a global consulting company founded in 2014, headquartered in Paris, with 1,500 employees across 33 offices in 26 countries. The firm partners with 1,000+ clients including Samsung, L'Oréal, Orange, and Sanofi, providing services spanning data strategy, ML model development, AI factory deployments, and cloud AI platforms. Artefact covers end-to-end ML lifecycles for large enterprises seeking industrial-scale AI adoption. (Employee count and client names per Artefact official website.)
RTS Labs
RTS Labs was founded in 2010 and is headquartered in Richmond, Virginia. The firm specialises in AI and ML projects from pilot to production, with strong roots in data engineering — pipelines, warehousing, and integration. Core platforms include Azure, AWS, Salesforce, and Snowflake, with ML applied to financial services, healthcare, and manufacturing use cases. RTS Labs has been ranked a top ML consulting firm for mid-sized US businesses. (Founding year and specialisation per RTS Labs official website.)
Services and capabilities: Artefact vs RTS Labs
| Capability | Artefact | RTS Labs |
|---|---|---|
| Custom ML build | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP / LLM | ✓ | ✗ |
| Predictive analytics | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Data engineering | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✗ |
Tech stack comparison: Artefact vs RTS Labs
| Framework / platform | Artefact | RTS Labs |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS SageMaker | ✓ | N/A |
| Azure ML | ✓ | N/A |
Pricing comparison: Artefact vs RTS Labs
| Criterion | Artefact | RTS Labs |
|---|---|---|
| Minimum engagement | $50K+ | $20K+ |
| Engagement models | T&M, Retainer, Dedicated team | Fixed project, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Artefact vs RTS Labs
| Dimension | Artefact | RTS Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | retail, healthcare, fintech | financial, healthcare, manufacturing |
| Best use cases | Enterprise AI strategy and ML roadmap, AI factory deployment for CPG brand | ML-powered financial fraud detection, Healthcare data pipeline and predictive analytics |
| Typical project type | T&M | Fixed project |
Artefact vs RTS Labs: pros and cons
| Artefact | |
|---|---|
| + | Global delivery footprint: 33 offices in 26 countries |
| + | Named clients include Samsung, L'Oréal, Orange, and Sanofi |
| + | End-to-end: from data strategy to production AI factory |
| + | Strong on cloud AI platforms: Vertex AI, Azure ML, AWS SageMaker |
| + | Industry-specific ML expertise across retail, healthcare, and FMCG |
| - | Minimum engagement well above startup budgets — best suited to large programmes |
| - | Less suited to short fixed-price ML projects or prototypes |
| RTS Labs | |
|---|---|
| + | Pilot-to-production ML ownership — not just consulting deliverables |
| + | Strong data engineering base: pipelines, warehousing, Snowflake, dbt |
| + | Azure and AWS native with Salesforce integration experience |
| + | US-based with financial services and healthcare domain knowledge |
| + | Practical, outcome-focused approach for mid-market budgets |
| - | Smaller team limits concurrent large programmes |
| - | Less international delivery footprint than larger firms |
Who should choose Artefact?
Artefact is the right choice for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy.
Enterprise ML at 1,500-consultant scale across 26 countries — strategy, deployment, and AI factory in one firm. Minimum engagement starts at $50K+. Works best with clients in retail, healthcare, fintech, media, telecommunications, FMCG.
Who should choose RTS Labs?
RTS Labs is the right choice for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS.
Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native. Minimum engagement starts at $20K+. Works best with clients in financial, healthcare, manufacturing, logistics, saas.
Decision matrix: Artefact vs RTS Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| You need a large dedicated team for an ongoing programme | Artefact |
| Your budget is at the lower end | RTS Labs |
| You need specialist depth in a specific vertical | Artefact |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Artefact |
Use case fit: Artefact vs RTS Labs
| Use case | Artefact fit | RTS Labs fit | Winner |
|---|---|---|---|
| Enterprise AI strategy and ML roadmap | Strong | Limited | Artefact |
| AI factory deployment for CPG brand | Strong | Limited | Artefact |
| ML-powered financial fraud detection | Limited | Strong | RTS Labs |
| Healthcare data pipeline and predictive analytics | Limited | Strong | RTS Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Artefact vs RTS Labs
Artefact (4.5/5) is the stronger overall choice for most Machine Learning projects. Enterprise ML at 1,500-consultant scale across 26 countries — strategy, deployment, and AI factory in one firm. It is best for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy.
RTS Labs (4.1/5) is the better choice when uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS. If your situation matches those criteria, RTS Labs is a competitive option.
Related comparisons
Artefact vs RTS Labs FAQ
Is Artefact better than RTS Labs?
Artefact (4.5/5) scores higher overall, but "better" depends on your use case. Artefact is better for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy. RTS Labs is better for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS.
How do Artefact and RTS Labs differ in pricing?
Artefact uses t&m, retainer pricing with a minimum engagement of $50K+. RTS Labs uses fixed project, t&m pricing with a minimum engagement of $20K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Artefact or RTS Labs?
RTS Labs is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Artefact and RTS Labs?
Artefact's primary differentiator is: enterprise ml at 1,500-consultant scale across 26 countries — strategy, deployment, and ai factory in one firm. RTS Labs's primary differentiator is: pilot-to-production ml with deep data engineering roots — snowflake, azure, and aws native. They also differ in team size (1,500 vs 50–150), minimum engagement ($50K+ vs $20K+), and primary industries served (retail, healthcare vs financial, healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.