Best Machine Learning Agencies

DataArt vs Keyrus: full comparison for 2026

Last updated: July 2026

Quick verdict

DataArt (3.9/5) edges ahead of Keyrus (3.8/5) overall. DataArt is the better choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Keyrus is the stronger option for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. The right choice depends on your project size, budget, and required tech stack.

DataArt vs Keyrus: head-to-head summary

Criterion DataArt Keyrus
Founded 1997 2000
HQ New York, NY Paris, France
Team size 5,700+ 3,500+
Rating 3.9 / 5 3.8 / 5
Best for Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth International enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience
Pricing model T&M, dedicated team T&M, retainer
Min. engagement $50K+ $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, Tableau, Power BI
Industries served fintech, healthcare, travel, media, retail financial, retail, healthcare, manufacturing, media

DataArt vs Keyrus: overview

DataArt

DataArt was founded in 1997 by Eugene Goland and is headquartered in New York, with offices across 15 global locations and 5,700+ employees. The company delivers AI and ML services — predictive analytics, NLP, data mining, and computer vision — alongside broader software engineering for clients in fintech, healthcare, and travel. DataArt was named an Inc. 5000 honoree in 2024. ML is one service line among many in DataArt's broad software engineering portfolio. (Employee count and founding year per DataArt Wikipedia and official website.)

Keyrus

Keyrus is an international consulting group founded in 2000, headquartered in Paris, France, and operating in over 20 countries with 3,500+ professionals. The company positions itself at the intersection of business, data, and AI — helping clients move from experimental AI to industrial-grade ML systems in production. Services span data strategy, BI, analytics, AI testing, and ML deployment. (Employee count and global footprint per Keyrus official website.)

Services and capabilities: DataArt vs Keyrus

Capability DataArt Keyrus
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: DataArt vs Keyrus

Framework / platform DataArt Keyrus
Python
TensorFlow N/A
PyTorch N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A

Pricing comparison: DataArt vs Keyrus

Criterion DataArt Keyrus
Minimum engagement $50K+ $50K+
Engagement models T&M, Dedicated team, Retainer T&M, Retainer, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: DataArt vs Keyrus

Dimension DataArt Keyrus
Best company size Startup to mid-market Startup to mid-market
Best industries fintech, healthcare, travel financial, retail, healthcare
Best use cases ML feature integration into existing fintech platform, Travel recommendation engine Industrial AI deployment at enterprise scale, Analytics and ML platform for financial services
Typical project type T&M T&M

DataArt vs Keyrus: pros and cons

DataArt
+ 5,700+ engineers — sufficient capacity for large parallel programmes
+ 29 years of software delivery history — low company risk
+ Strong fintech and travel sector domain depth
+ Inc. 5000 2024 — verified revenue growth
+ 15 global offices for enterprise procurement alignment
- ML is one practice among many — not a pure ML specialist
- Minimum engagement and overhead suited to enterprise, not startups
- Large firm processes can reduce speed relative to boutique ML agencies
Keyrus
+ Global footprint: 20+ countries, 3,500+ professionals
+ Industrial-AI focus — moves clients from PoC to production scale
+ Strong analytics and BI alongside ML for full data stack coverage
+ AI testing and validation capability
- Large-firm pricing not suited to startup or SMB budgets
- AI is one offering within broader data consulting — not ML-first

Who should choose DataArt?

DataArt is the right choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.

1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. Minimum engagement starts at $50K+. Works best with clients in fintech, healthcare, travel, media, retail.

Who should choose Keyrus?

Keyrus is the right choice for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.

From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations. Minimum engagement starts at $50K+. Works best with clients in financial, retail, healthcare, manufacturing, media.

Decision matrix: DataArt vs Keyrus

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Both offer fixed-price models
You need a large dedicated team for an ongoing programme DataArt
Your budget is at the lower end DataArt
You need specialist depth in a specific vertical DataArt
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build DataArt

Use case fit: DataArt vs Keyrus

Use case DataArt fit Keyrus fit Winner
ML feature integration into existing fintech platform Strong Strong Both equally
Travel recommendation engine Strong Limited DataArt
Industrial AI deployment at enterprise scale Limited Strong Keyrus
Analytics and ML platform for financial services Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: DataArt vs Keyrus

DataArt (3.9/5) is the stronger overall choice for most Machine Learning projects. 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. It is best for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.

Keyrus (3.8/5) is the better choice when international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. If your situation matches those criteria, Keyrus is a competitive option.

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DataArt vs Keyrus FAQ

Is DataArt better than Keyrus?

DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt is better for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Keyrus is better for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.

How do DataArt and Keyrus differ in pricing?

DataArt uses t&m, dedicated team pricing with a minimum engagement of $50K+. Keyrus uses t&m, retainer pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: DataArt or Keyrus?

DataArt 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 DataArt and Keyrus?

DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. Keyrus's primary differentiator is: from experimental ai to industrial ai — consulting group specialising in productionising ml for large organisations. They also differ in team size (5,700+ vs 3,500+), minimum engagement ($50K+ vs $50K+), and primary industries served (fintech, healthcare vs financial, retail).

Last reviewed: July 2026. Verify all details directly with each agency before making a decision.