Best Machine Learning Agencies

DataArt vs Maruti Techlabs: full comparison for 2026

Last updated: July 2026

Quick verdict

DataArt (3.9/5) edges ahead of Maruti Techlabs (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. Maruti Techlabs is the stronger option for mid-market companies seeking cost-effective AI/ML consulting with US accountability and India-based delivery. The right choice depends on your project size, budget, and required tech stack.

DataArt vs Maruti Techlabs: head-to-head summary

Criterion DataArt Maruti Techlabs
Founded 1997 2009
HQ New York, NY Austin, TX
Team size 5,700+ 200–400
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 Mid-market companies seeking cost-effective AI/ML consulting with US accountability and India-based delivery
Pricing model T&M, dedicated team Fixed project, T&M
Min. engagement $50K+ $15K+
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, PyTorch
Industries served fintech, healthcare, travel, media, retail healthcare, retail, fintech, saas, manufacturing

DataArt vs Maruti Techlabs: 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.)

Maruti Techlabs

Maruti Techlabs was founded in 2009 by Mitul Makadia and is headquartered in Austin, Texas with a development centre in Ahmedabad, India. The company specialises in applied AI and ML including natural language processing, computer vision, and predictive analytics, with an AWS Marketplace listing and a track record across healthcare, retail, and fintech. (Founding year and founder per Maruti Techlabs official website and LinkedIn.)

Services and capabilities: DataArt vs Maruti Techlabs

Capability DataArt Maruti Techlabs
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 Maruti Techlabs

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

Pricing comparison: DataArt vs Maruti Techlabs

Criterion DataArt Maruti Techlabs
Minimum engagement $50K+ $15K+
Engagement models T&M, Dedicated team, Retainer Fixed project, T&M, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: DataArt vs Maruti Techlabs

Dimension DataArt Maruti Techlabs
Best company size Startup to mid-market Startup to mid-market
Best industries fintech, healthcare, travel healthcare, retail, fintech
Best use cases ML feature integration into existing fintech platform, Travel recommendation engine NLP-powered chatbot or document processing, Computer vision for healthcare imaging
Typical project type T&M Fixed project

DataArt vs Maruti Techlabs: 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
Maruti Techlabs
+ Dual US-India delivery — cost-effective without sacrificing US accountability
+ AWS Marketplace listing — trusted vendor credential
+ NLP, computer vision, and predictive analytics all in scope
+ 17+ years of delivery history since 2009
- India-based delivery requires timezone management for real-time collaboration
- Less depth in data engineering or MLOps at enterprise scale

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 Maruti Techlabs?

Maruti Techlabs is the right choice for mid-market companies seeking cost-effective AI/ML consulting with US accountability and India-based delivery.

Dual US-India delivery with AWS Marketplace listing — cost-effective ML for mid-market budgets. Minimum engagement starts at $15K+. Works best with clients in healthcare, retail, fintech, saas, manufacturing.

Decision matrix: DataArt vs Maruti Techlabs

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Maruti Techlabs
You need a large dedicated team for an ongoing programme DataArt
Your budget is at the lower end Maruti Techlabs
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 Maruti Techlabs

Use case DataArt fit Maruti Techlabs fit Winner
ML feature integration into existing fintech platform Strong Strong Both equally
Travel recommendation engine Strong Limited DataArt
NLP-powered chatbot or document processing Limited Strong Maruti Techlabs
Computer vision for healthcare imaging Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: DataArt vs Maruti Techlabs

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.

Maruti Techlabs (3.8/5) is the better choice when mid-market companies seeking cost-effective AI/ML consulting with US accountability and India-based delivery. If your situation matches those criteria, Maruti Techlabs is a competitive option.

Related comparisons

DataArt vs Maruti Techlabs FAQ

Is DataArt better than Maruti Techlabs?

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. Maruti Techlabs is better for mid-market companies seeking cost-effective AI/ML consulting with US accountability and India-based delivery.

How do DataArt and Maruti Techlabs differ in pricing?

DataArt uses t&m, dedicated team pricing with a minimum engagement of $50K+. Maruti Techlabs uses fixed project, t&m pricing with a minimum engagement of $15K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: DataArt or Maruti Techlabs?

Maruti Techlabs 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 Maruti Techlabs?

DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. Maruti Techlabs's primary differentiator is: dual us-india delivery with aws marketplace listing — cost-effective ml for mid-market budgets. They also differ in team size (5,700+ vs 200–400), minimum engagement ($50K+ vs $15K+), and primary industries served (fintech, healthcare vs healthcare, retail).

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