Best Machine Learning Agencies

RTS Labs vs LeewayHertz: full comparison for 2026

Last updated: July 2026

Quick verdict

RTS Labs (4.1/5) edges ahead of LeewayHertz (4.0/5) overall. RTS Labs is the better choice for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS. LeewayHertz is the stronger option for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. The right choice depends on your project size, budget, and required tech stack.

RTS Labs vs LeewayHertz: head-to-head summary

Criterion RTS Labs LeewayHertz
Founded 2010 2007
HQ Richmond, VA San Francisco, CA
Team size 50–150 300+
Rating 4.1 / 5 4.0 / 5
Best for US mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS Enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent
Pricing model Fixed project, T&M Fixed project, T&M
Min. engagement $20K+ $25K+
Primary tech stack Python, Azure, AWS Python, TensorFlow, PyTorch
Industries served financial, healthcare, manufacturing, logistics, saas financial, healthcare, retail, logistics, saas

RTS Labs vs LeewayHertz: overview

RTS Labs

RTS Labs was founded in 2010 and is headquartered in Richmond, Virginia. The firm specialises in AI and ML projects from pilot to production, with strong roots in data engineering — pipelines, warehousing, and integration. Core platforms include Azure, AWS, Salesforce, and Snowflake, with ML applied to financial services, healthcare, and manufacturing use cases. RTS Labs has been ranked a top ML consulting firm for mid-sized US businesses. (Founding year and specialisation per RTS Labs official website.)

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.)

Services and capabilities: RTS Labs vs LeewayHertz

Capability RTS Labs LeewayHertz
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: RTS Labs vs LeewayHertz

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

Pricing comparison: RTS Labs vs LeewayHertz

Criterion RTS Labs LeewayHertz
Minimum engagement $20K+ $25K+
Engagement models Fixed project, T&M Fixed project, T&M, Retainer
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: RTS Labs vs LeewayHertz

Dimension RTS Labs LeewayHertz
Best company size Startup to mid-market Startup to mid-market
Best industries financial, healthcare, manufacturing financial, healthcare, retail
Best use cases ML-powered financial fraud detection, Healthcare data pipeline and predictive analytics AI product engineering for enterprise software, LLM-powered document intelligence system
Typical project type Fixed project Fixed project

RTS Labs vs LeewayHertz: pros and cons

RTS Labs
+ Pilot-to-production ML ownership — not just consulting deliverables
+ Strong data engineering base: pipelines, warehousing, Snowflake, dbt
+ Azure and AWS native with Salesforce integration experience
+ US-based with financial services and healthcare domain knowledge
+ Practical, outcome-focused approach for mid-market budgets
- Smaller team limits concurrent large programmes
- Less international delivery footprint than larger firms
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

Who should choose RTS Labs?

RTS Labs is the right choice for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS.

Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native. Minimum engagement starts at $20K+. Works best with clients in financial, healthcare, manufacturing, logistics, saas.

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.

Decision matrix: RTS Labs vs LeewayHertz

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

Use case fit: RTS Labs vs LeewayHertz

Use case RTS Labs fit LeewayHertz fit Winner
ML-powered financial fraud detection Strong Limited RTS Labs
Healthcare data pipeline and predictive analytics Strong Limited RTS Labs
AI product engineering for enterprise software Limited Strong LeewayHertz
LLM-powered document intelligence system Limited Strong LeewayHertz
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: RTS Labs vs LeewayHertz

RTS Labs (4.1/5) is the stronger overall choice for most Machine Learning projects. Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native. It is best for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS.

LeewayHertz (4.0/5) is the better choice when enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent. If your situation matches those criteria, LeewayHertz is a competitive option.

Related comparisons

RTS Labs vs LeewayHertz FAQ

Is RTS Labs better than LeewayHertz?

RTS Labs (4.1/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for uS mid-market companies in financial services and healthcare needing AI from pilot to production on Azure or AWS. LeewayHertz is better for enterprise clients seeking AI product engineering backed by a publicly listed management consulting parent.

How do RTS Labs and LeewayHertz differ in pricing?

RTS Labs uses fixed project, t&m pricing with a minimum engagement of $20K+. LeewayHertz uses fixed project, t&m pricing with a minimum engagement of $25K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: RTS Labs or LeewayHertz?

RTS Labs 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 RTS Labs and LeewayHertz?

RTS Labs's primary differentiator is: pilot-to-production ml with deep data engineering roots — snowflake, azure, and aws native. LeewayHertz's primary differentiator is: backed by the hackett group since sept 2024 — ai engineering within an enterprise transformation consulting firm. They also differ in team size (50–150 vs 300+), minimum engagement ($20K+ vs $25K+), and primary industries served (financial, healthcare vs financial, healthcare).

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