Best Machine Learning Agencies

LeewayHertz vs Modak: full comparison for 2026

Last updated: July 2026

Quick verdict

LeewayHertz (4.0/5) edges ahead of Modak (3.7/5) overall. LeewayHertz is the better choice for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. Modak is the stronger option for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption. The right choice depends on your project size, budget, and required tech stack.

LeewayHertz vs Modak: head-to-head summary

Criterion LeewayHertz Modak
Founded 2007 2016
HQ San Francisco, CA San Jose, CA
Team size 300+ 100–200
Rating 4.0 / 5 3.7 / 5
Best for Enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent Large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption
Pricing model Fixed project, T&M T&M, retainer
Min. engagement $25K+ $50K+
Primary tech stack Python, TensorFlow, PyTorch Python, Apache Spark, Databricks
Industries served financial, healthcare, retail, logistics, saas financial, healthcare, manufacturing, logistics, saas

LeewayHertz vs Modak: 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.)

Modak

Modak is an AI-native data engineering company headquartered in San Jose, California, founded in 2016. The company uses machine learning techniques to transform how structured and unstructured enterprise data is prepared, consumed, and shared — focusing on AI-driven data modernisation for large organisations. Global consulting services help enterprises modernise data infrastructure, accelerate AI readiness, and drive measurable business outcomes. (Founding year and approach per Modak official website and ZoomInfo.)

Services and capabilities: LeewayHertz vs Modak

Capability LeewayHertz Modak
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 Modak

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

Pricing comparison: LeewayHertz vs Modak

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

Target audience comparison: LeewayHertz vs Modak

Dimension LeewayHertz Modak
Best company size Startup to mid-market Startup to mid-market
Best industries financial, healthcare, retail financial, healthcare, manufacturing
Best use cases AI product engineering for enterprise software, LLM-powered document intelligence system Enterprise data modernisation for AI readiness, ML-powered ETL and data prep pipeline
Typical project type Fixed project T&M

LeewayHertz vs Modak: 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
Modak
+ ML applied to data engineering itself — accelerates data prep for ML programmes
+ AI-native from inception — not a repositioned data warehouse firm
+ Strong on unstructured data processing for AI readiness
+ San Jose HQ with enterprise client focus
- Data engineering focus — not suited to custom ML model development or computer vision
- Minimum engagement oriented toward large enterprise programmes
- Less suited to companies without an existing large data estate

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 Modak?

Modak is the right choice for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption.

ML-powered data engineering — uses ML itself to accelerate data prep and modernisation at enterprise scale. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, logistics, saas.

Decision matrix: LeewayHertz vs Modak

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 Check each company's engagement model
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 Modak

Use case LeewayHertz fit Modak fit Winner
AI product engineering for enterprise software Strong Strong Both equally
LLM-powered document intelligence system Strong Limited LeewayHertz
Enterprise data modernisation for AI readiness Strong Strong Both equally
ML-powered ETL and data prep pipeline Limited Strong Modak
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: LeewayHertz vs Modak

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.

Modak (3.7/5) is the better choice when large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption. If your situation matches those criteria, Modak is a competitive option.

Related comparisons

LeewayHertz vs Modak FAQ

Is LeewayHertz better than Modak?

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. Modak is better for large enterprises needing AI-driven data modernisation to prepare unstructured data for ML consumption.

How do LeewayHertz and Modak differ in pricing?

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

Modak 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 Modak?

LeewayHertz's primary differentiator is: backed by the hackett group since sept 2024 — ai engineering within an enterprise transformation consulting firm. Modak's primary differentiator is: ml-powered data engineering — uses ml itself to accelerate data prep and modernisation at enterprise scale. They also differ in team size (300+ vs 100–200), minimum engagement ($25K+ vs $50K+), and primary industries served (financial, healthcare vs financial, healthcare).

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