Best Machine Learning Agencies

LeewayHertz vs DataArt: full comparison for 2026

Last updated: July 2026

Quick verdict

LeewayHertz (4.0/5) edges ahead of DataArt (3.9/5) overall. LeewayHertz is the better choice for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. DataArt is the stronger option for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. The right choice depends on your project size, budget, and required tech stack.

LeewayHertz vs DataArt: head-to-head summary

Criterion LeewayHertz DataArt
Founded 2007 1997
HQ San Francisco, CA New York, NY
Team size 300+ 5,700+
Rating 4.0 / 5 3.9 / 5
Best for Enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth
Pricing model Fixed project, T&M T&M, dedicated team
Min. engagement $25K+ $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, PyTorch
Industries served financial, healthcare, retail, logistics, saas fintech, healthcare, travel, media, retail

LeewayHertz vs DataArt: overview

LeewayHertz

LeewayHertz was founded in 2007 and is headquartered in San Francisco. The company focuses on AI and ML product engineering, computer vision, NLP, conversational AI, and blockchain. In September 2024, LeewayHertz was acquired by The Hackett Group, a Miami-based global management consulting firm, integrating its AI engineering capabilities into enterprise transformation services. (Acquisition confirmed via The Hackett Group press release, September 2024.)

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.)

Services and capabilities: LeewayHertz vs DataArt

Capability LeewayHertz DataArt
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: LeewayHertz vs DataArt

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

Pricing comparison: LeewayHertz vs DataArt

Criterion LeewayHertz DataArt
Minimum engagement $25K+ $50K+
Engagement models Fixed project, T&M, Retainer T&M, Dedicated team, Retainer
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: LeewayHertz vs DataArt

Dimension LeewayHertz DataArt
Best company size Startup to mid-market Startup to mid-market
Best industries financial, healthcare, retail fintech, healthcare, travel
Best use cases AI product engineering for enterprise software, LLM-powered document intelligence system ML feature integration into existing fintech platform, Travel recommendation engine
Typical project type Fixed project T&M

LeewayHertz vs DataArt: pros and cons

LeewayHertz
+ Backed by The Hackett Group since 2024 — enterprise credibility and financial stability
+ 17+ years of AI and ML product engineering history
+ Strong generative AI and LLM integration portfolio
+ US-headquartered with clear accountability and IP ownership model
- Acquisition by The Hackett Group in 2024 brings integration risk and possible culture shift
- Post-acquisition pricing may increase as enterprise overhead grows
- Less suited to startup or early-stage budgets post-acquisition
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

Who should choose LeewayHertz?

LeewayHertz is the right choice for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent.

Backed by The Hackett Group since Sept 2024 — AI engineering within an enterprise transformation consulting firm. Minimum engagement starts at $25K+. Works best with clients in financial, healthcare, retail, logistics, saas.

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.

Decision matrix: LeewayHertz vs DataArt

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

Use case fit: LeewayHertz vs DataArt

Use case LeewayHertz fit DataArt fit Winner
AI product engineering for enterprise software Strong Limited LeewayHertz
LLM-powered document intelligence system Strong Limited LeewayHertz
ML feature integration into existing fintech platform Limited Strong DataArt
Travel recommendation engine Limited Strong DataArt
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: LeewayHertz vs DataArt

LeewayHertz (4.0/5) is the stronger overall choice for most Machine Learning projects. Backed by The Hackett Group since Sept 2024 — AI engineering within an enterprise transformation consulting firm. It is best for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent.

DataArt (3.9/5) is the better choice when enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. If your situation matches those criteria, DataArt is a competitive option.

Related comparisons

LeewayHertz vs DataArt FAQ

Is LeewayHertz better than DataArt?

LeewayHertz (4.0/5) scores higher overall, but "better" depends on your use case. LeewayHertz is better for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. DataArt is better for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.

How do LeewayHertz and DataArt differ in pricing?

LeewayHertz uses fixed project, t&m pricing with a minimum engagement of $25K+. DataArt uses t&m, dedicated team 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: LeewayHertz or DataArt?

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 LeewayHertz and DataArt?

LeewayHertz's primary differentiator is: backed by the hackett group since sept 2024 — ai engineering within an enterprise transformation consulting firm. DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. They also differ in team size (300+ vs 5,700+), minimum engagement ($25K+ vs $50K+), and primary industries served (financial, healthcare vs fintech, healthcare).

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