Best Machine Learning Agencies

LeewayHertz vs Keyrus: full comparison for 2026

Last updated: July 2026

Quick verdict

LeewayHertz (4.0/5) edges ahead of Keyrus (3.8/5) overall. LeewayHertz is the better choice for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. 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.

LeewayHertz vs Keyrus: head-to-head summary

Criterion LeewayHertz Keyrus
Founded 2007 2000
HQ San Francisco, CA Paris, France
Team size 300+ 3,500+
Rating 4.0 / 5 3.8 / 5
Best for Enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent International enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience
Pricing model Fixed project, T&M T&M, retainer
Min. engagement $25K+ $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, Tableau, Power BI
Industries served financial, healthcare, retail, logistics, saas financial, retail, healthcare, manufacturing, media

LeewayHertz vs Keyrus: 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.)

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: LeewayHertz vs Keyrus

Capability LeewayHertz 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: LeewayHertz vs Keyrus

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

Pricing comparison: LeewayHertz vs Keyrus

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

Target audience comparison: LeewayHertz vs Keyrus

Dimension LeewayHertz Keyrus
Best company size Startup to mid-market Startup to mid-market
Best industries financial, healthcare, retail financial, retail, healthcare
Best use cases AI product engineering for enterprise software, LLM-powered document intelligence system Industrial AI deployment at enterprise scale, Analytics and ML platform for financial services
Typical project type Fixed project T&M

LeewayHertz vs Keyrus: 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
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 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 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: LeewayHertz vs Keyrus

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 Keyrus
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 Keyrus

Use case LeewayHertz fit Keyrus fit Winner
AI product engineering for enterprise software Strong Strong Both equally
LLM-powered document intelligence system Strong Limited LeewayHertz
Industrial AI deployment at enterprise scale Limited Strong Keyrus
Analytics and ML platform for financial services Limited Strong Keyrus
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: LeewayHertz vs Keyrus

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.

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.

Related comparisons

LeewayHertz vs Keyrus FAQ

Is LeewayHertz better than Keyrus?

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

How do LeewayHertz and Keyrus differ in pricing?

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

Keyrus 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 Keyrus?

LeewayHertz's primary differentiator is: backed by the hackett group since sept 2024 — ai engineering within an enterprise transformation consulting firm. 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 (300+ vs 3,500+), minimum engagement ($25K+ vs $50K+), and primary industries served (financial, healthcare vs financial, retail).

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