Best Machine Learning Agencies

LeewayHertz vs Turing: full comparison for 2026

Last updated: July 2026

Quick verdict

LeewayHertz (4.0/5) edges ahead of Turing (3.8/5) overall. LeewayHertz is the better choice for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. Turing is the stronger option for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. The right choice depends on your project size, budget, and required tech stack.

LeewayHertz vs Turing: head-to-head summary

Criterion LeewayHertz Turing
Founded 2007 2018
HQ San Francisco, CA Palo Alto, CA
Team size 300+ 6,859
Rating 4.0 / 5 3.8 / 5
Best for Enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent Companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension
Pricing model Fixed project, T&M Dedicated team, T&M
Min. engagement $25K+ Not disclosed
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, PyTorch
Industries served financial, healthcare, retail, logistics, saas saas, fintech, healthcare, retail, financial

LeewayHertz vs Turing: 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.)

Turing

Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California. The company operates as an AI-powered talent marketplace and technology services firm with a network of 4M+ vetted software engineers, data scientists, and STEM experts. Turing has raised $247M at a $2.2B valuation from WestBridge Capital and Foundation Capital, and serves 1,000+ clients including Fortune 500 companies and governments. Note: Turing is primarily a talent marketplace — clients provide direction; Turing supplies vetted engineers rather than owning ML delivery outcomes. (Funding, valuation, and client count per Turing official website and Crunchbase.)

Services and capabilities: LeewayHertz vs Turing

Capability LeewayHertz Turing
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 Turing

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

Pricing comparison: LeewayHertz vs Turing

Criterion LeewayHertz Turing
Minimum engagement $25K+ Not disclosed
Engagement models Fixed project, T&M, Retainer T&M, Dedicated team
Rate transparency Minimum disclosed Not public
Price tier Accessible Mid-market

Target audience comparison: LeewayHertz vs Turing

Dimension LeewayHertz Turing
Best company size Startup to mid-market Startup to mid-market
Best industries financial, healthcare, retail saas, fintech, healthcare
Best use cases AI product engineering for enterprise software, LLM-powered document intelligence system Staff augmentation for ML engineering team, Rapid placement of vetted data scientists
Typical project type Fixed project T&M

LeewayHertz vs Turing: 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
Turing
+ 4M+ AI-vetted engineers — largest pre-screened ML talent pool in the category
+ $2.2B valuation with $247M raised — stable platform with institutional backing
+ 1,000+ clients including Fortune 500 and government organisations
+ Fastest path to pre-screened ML engineer placement
- Talent marketplace model — Turing supplies engineers; client provides direction and owns outcomes
- Less suited to projects needing a delivery firm with end-to-end accountability
- Delivery quality depends on client PM capability — not owned by Turing

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 Turing?

Turing is the right choice for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.

AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation. Minimum engagement starts at Not disclosed. Works best with clients in saas, fintech, healthcare, retail, financial.

Decision matrix: LeewayHertz vs Turing

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 Turing
Your budget is at the lower end Compare: LeewayHertz ($25K+) vs Turing (Not disclosed)
You need specialist depth in a specific vertical LeewayHertz
You need staff augmentation or team extension Turing
You need consulting before committing to a build LeewayHertz

Use case fit: LeewayHertz vs Turing

Use case LeewayHertz fit Turing fit Winner
AI product engineering for enterprise software Strong Strong Both equally
LLM-powered document intelligence system Strong Limited LeewayHertz
Staff augmentation for ML engineering team Limited Strong Turing
Rapid placement of vetted data scientists Limited Strong Turing
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Strong Turing

Verdict: LeewayHertz vs Turing

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.

Turing (3.8/5) is the better choice when companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. If your situation matches those criteria, Turing is a competitive option.

Related comparisons

LeewayHertz vs Turing FAQ

Is LeewayHertz better than Turing?

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. Turing is better for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.

How do LeewayHertz and Turing differ in pricing?

LeewayHertz uses fixed project, t&m pricing with a minimum engagement of $25K+. Turing uses dedicated team, t&m pricing with a minimum engagement of Not disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: LeewayHertz or Turing?

Turing 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 Turing?

LeewayHertz's primary differentiator is: backed by the hackett group since sept 2024 — ai engineering within an enterprise transformation consulting firm. Turing's primary differentiator is: ai-vetted 4m+ developer network — fastest route to pre-screened ml talent for staff augmentation. They also differ in team size (300+ vs 6,859), minimum engagement ($25K+ vs Not disclosed), and primary industries served (financial, healthcare vs saas, fintech).

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