Best AI Staff Augmentation Companies

deepsense.ai vs LeewayHertz: full comparison for 2026

Quick verdict

deepsense.ai (4.3/5) edges ahead of LeewayHertz (3.6/5) overall. deepsense.ai is the better choice for research-heavy ML problems, computer vision, edge AI. LeewayHertz is the stronger option for hackett Group clients adding GenAI developers. The right choice depends on your project size, budget, and required tech stack.

deepsense.ai vs LeewayHertz: head-to-head summary

Criterion deepsense.ai LeewayHertz
Founded 2014 2007
HQ Warsaw, Poland San Francisco, California, USA
Team size 100–200 100–250 (sources vary)
Rating 4.3 / 5 3.6 / 5
Primary differentiator A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench GenAI app development backed by a public consulting parent
Pricing model Time and materials for augmented engineers; project contracts; rates on request Project pricing and hire-a-developer rates; rates on request
Min. engagement Not published Not published
Primary tech stack Python, PyTorch, TensorFlow Python, LangChain, OpenAI
Industries served Manufacturing, Retail & e-commerce, Healthcare & life sciences, Financial services, Software & SaaS Financial services, Retail & e-commerce, Software & SaaS

deepsense.ai vs LeewayHertz: overview

deepsense.ai

deepsense.ai was founded in 2014, grew out of the AI division of CodiLime, and is headquartered in Warsaw with an office in Palo Alto. Third-party directories put its headcount between roughly 100 and 200 people, and the company says it employs more than 120 AI experts, including Kaggle competition winners and PhD holders. Besides project work in generative AI, MLOps, computer vision and edge AI, it runs a dedicated AI staff augmentation service in which its own engineers extend a client's team.

LeewayHertz

LeewayHertz was founded in 2007 and lists a San Francisco address, with much of its staff in India. Headcount estimates range from roughly 60 to 500. The Hackett Group acquired it in September 2024 for $7.8 million in purchase consideration, according to Hackett's SEC filings, and the two set up a joint venture called ZBrain XPLR. Its main business is building GenAI applications, and it hires out engineers as a secondary service.

Services and capabilities: deepsense.ai vs LeewayHertz

Capability deepsense.ai LeewayHertz
LLM / GenAI engineers ✓ ✓
MLOps & deployment ✓ ✗
Computer vision ✓ ✗
Data engineering ✗ ✗
AI agent development ✗ ✓
Fractional / part-time experts ✗ ✗
Risk-free trial period ✗ ✗
Nearshore time-zone overlap ✗ ✗

Tech stack comparison: deepsense.ai vs LeewayHertz

Framework / platform deepsense.ai LeewayHertz
PyTorch ✓ N/A
TensorFlow ✓ N/A
LangChain ✓ ✓
Hugging Face ✓ ✓
OpenAI N/A ✓
AWS ✓ ✓
Azure N/A N/A
Databricks N/A N/A
MLflow ✓ N/A
Kubernetes ✓ N/A

Pricing comparison: deepsense.ai vs LeewayHertz

Criterion deepsense.ai LeewayHertz
Minimum engagement Not published Not published
Engagement models Full-time dedicated engineers, Dedicated team, Managed delivery Managed delivery, Full-time dedicated engineers
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: deepsense.ai vs LeewayHertz

Dimension deepsense.ai LeewayHertz
Best company size Startup to mid-market Startup to mid-market
Best industries Manufacturing, Retail & e-commerce, Healthcare & life sciences Financial services, Retail & e-commerce, Software & SaaS
Best use cases Adding a computer-vision specialist to a manufacturing quality team, Bringing research depth into a stalled model-accuracy effort Adding a GenAI developer to a Hackett-led consulting program, Building a RAG assistant for internal documents
Typical project type Full-time dedicated engineers Managed delivery

deepsense.ai vs LeewayHertz: pros and cons

deepsense.ai
+ Every engineer it places comes from an AI-only company
+ Strong record in computer vision and edge deployment
+ Clutch reviewers describe team-augmentation work with strong engineering skills
- A bench of roughly 120 AI staff limits how many people can start at once
- Polish rates are higher than Ukrainian or Latin American alternatives
- Better suited to hard modeling work than to routine LLM integration
LeewayHertz
+ Long experience shipping GenAI applications
+ Hackett ownership adds a consulting channel
+ Builds agents and RAG systems
- Acquired by The Hackett Group in 2024, so priorities may follow the parent's consulting work
- Headcount estimates vary widely
- Heavy content marketing makes independent assessment harder

Who should choose deepsense.ai?

A typical fit: adding a computer-vision specialist to a manufacturing quality team.

A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail & e-commerce, Healthcare & life sciences, Financial services, Software & SaaS.

Who should choose LeewayHertz?

A typical fit: adding a GenAI developer to a Hackett-led consulting program.

GenAI app development backed by a public consulting parent. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail & e-commerce, Software & SaaS.

Decision matrix: deepsense.ai vs LeewayHertz

Your situation Recommended choice
You need a dedicated team for a long programme deepsense.ai
You want the supplier to own delivery as well as staffing Both; deepsense.ai rates higher overall
You need one expert part-time Neither lists part-time experts; ask about reduced hours
You want to test an engineer before signing for months Neither publishes a trial; ask for a short first term
Your budget is at the lower end Compare: deepsense.ai (Not published) vs LeewayHertz (Not published)
You need overlap with U.S. working hours Neither is nearshore; agree overlap hours up front
You need specialist depth in a specific vertical deepsense.ai

Use case fit: deepsense.ai vs LeewayHertz

Use case deepsense.ai fit LeewayHertz fit Winner
Adding a computer-vision specialist to a manufacturing quality team Strong Strong Both equally
Bringing research depth into a stalled model-accuracy effort Strong Limited deepsense.ai
Adding a GenAI developer to a Hackett-led consulting program Strong Strong Both equally
Building a RAG assistant for internal documents Limited Strong LeewayHertz

Verdict: deepsense.ai vs LeewayHertz

deepsense.ai (4.3/5) is the stronger overall choice for most AI Staff Augmentation projects. A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench.

LeewayHertz (3.6/5) is worth a look if you need building a RAG assistant for internal documents. If your situation matches that, LeewayHertz is a competitive option.

Related comparisons

deepsense.ai vs LeewayHertz FAQ

Is deepsense.ai better than LeewayHertz?

deepsense.ai (4.3/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: every engineer it places comes from an AI-only company. LeewayHertz's strongest advantage: long experience shipping GenAI applications.

How do deepsense.ai and LeewayHertz differ in pricing?

deepsense.ai uses time and materials for augmented engineers; project contracts; rates on request pricing. LeewayHertz uses project pricing and hire-a-developer rates; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: deepsense.ai or LeewayHertz?

LeewayHertz is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between deepsense.ai and LeewayHertz?

deepsense.ai's primary differentiator is: a pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. LeewayHertz's primary differentiator is: GenAI app development backed by a public consulting parent. They also differ in team size (100–200 vs 100–250 (sources vary)), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Retail & e-commerce vs Financial services, Retail & e-commerce).

Verify all details directly with each company before making a decision.