Xenoss vs LeewayHertz: full comparison for 2026
Quick verdict
Xenoss (3.8/5) edges ahead of LeewayHertz (3.6/5) overall. Xenoss is the better choice for AdTech and MarTech firms needing real-time data plus 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.
Xenoss vs LeewayHertz: head-to-head summary
| Criterion | Xenoss | LeewayHertz |
|---|---|---|
| Founded | 2013 | 2007 |
| HQ | New York, New York, USA | San Francisco, California, USA |
| Team size | 100–200 | 100–250 (sources vary) |
| Rating | 3.8 / 5 | 3.6 / 5 |
| Primary differentiator | Real-time, high-load data engineering from AdTech roots | GenAI app development backed by a public consulting parent |
| Pricing model | Team extension and project pricing; rates on request | Project pricing and hire-a-developer rates; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Kafka, Spark | Python, LangChain, OpenAI |
| Industries served | Media, Retail & e-commerce, Software & SaaS | Financial services, Retail & e-commerce, Software & SaaS |
Xenoss vs LeewayHertz: overview
Xenoss
Xenoss was founded in 2013 by AdTech veterans and lists its headquarters in New York, with CEO Dmitry Sverdlik. Directories put headcount between 100 and 200. It specializes in AI and data engineering, including AI agents, real-time data systems and LLM knowledge bases, and favors small senior teams. Team extension appears in its history, but it does not run a dedicated staff augmentation offer.
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: Xenoss vs LeewayHertz
| Capability | Xenoss | 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: Xenoss vs LeewayHertz
| Framework / platform | Xenoss | LeewayHertz |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | ✓ |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Xenoss vs LeewayHertz
| Criterion | Xenoss | LeewayHertz |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | 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: Xenoss vs LeewayHertz
| Dimension | Xenoss | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media, Retail & e-commerce, Software & SaaS | Financial services, Retail & e-commerce, Software & SaaS |
| Best use cases | Adding real-time feature engineering for a bidding model, Building an LLM knowledge base on marketing data | Adding a GenAI developer to a Hackett-led consulting program, Building a RAG assistant for internal documents |
| Typical project type | Dedicated team | Managed delivery |
Xenoss vs LeewayHertz: pros and cons
| Xenoss | |
|---|---|
| + | High-load, real-time data experience |
| + | Small senior teams with low management overhead |
| + | Builds agents and knowledge bases on its own data work |
| - | No dedicated staff augmentation page |
| - | Industry focus is narrow outside AdTech and MarTech |
| - | Headcount data varies |
| 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 Xenoss?
A typical fit: adding real-time feature engineering for a bidding model.
Real-time, high-load data engineering from AdTech roots. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail & e-commerce, 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: Xenoss vs LeewayHertz
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Xenoss |
| You want the supplier to own delivery as well as staffing | Both; Xenoss 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: Xenoss (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 | Xenoss |
Use case fit: Xenoss vs LeewayHertz
| Use case | Xenoss fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Adding real-time feature engineering for a bidding model | Strong | Strong | Both equally |
| Building an LLM knowledge base on marketing data | Strong | Strong | Both equally |
| Adding a GenAI developer to a Hackett-led consulting program | Strong | Strong | Both equally |
| Building a RAG assistant for internal documents | Strong | Strong | Both equally |
Verdict: Xenoss vs LeewayHertz
Xenoss (3.8/5) is the stronger overall choice for most AI Staff Augmentation projects. Real-time, high-load data engineering from AdTech roots.
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.
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Xenoss vs LeewayHertz FAQ
Is Xenoss better than LeewayHertz?
Xenoss (3.8/5) scores higher overall, but "better" depends on your use case. Xenoss's strongest advantage: High-load, real-time data experience. LeewayHertz's strongest advantage: long experience shipping GenAI applications.
How do Xenoss and LeewayHertz differ in pricing?
Xenoss uses team extension and project pricing; 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: Xenoss 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 Xenoss and LeewayHertz?
Xenoss's primary differentiator is: Real-time, high-load data engineering from AdTech roots. 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 (Media, Retail & e-commerce vs Financial services, Retail & e-commerce).
Verify all details directly with each company before making a decision.