XenonStack vs LeewayHertz: full comparison for 2026
Last updated: July 2026
Quick verdict
XenonStack (4.4/5) edges ahead of LeewayHertz (4.2/5) overall. XenonStack is the better choice for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer.. LeewayHertz is the stronger option for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group).. The right choice depends on your project size, budget, and required tech stack.
XenonStack vs LeewayHertz: head-to-head summary
| Criterion | XenonStack | LeewayHertz |
|---|---|---|
| Founded | 2016 | 2007 |
| HQ | Mohali, India | San Francisco, California, United States |
| Team size | 50–100 | 200–300 |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Best for | Companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer. | Enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group). |
| Pricing model | Project-based, retainer | Project-based, retainer |
| Min. engagement | Not published | Not published |
| Primary tech stack | Kubernetes, Apache Kafka, AWS | Python, LangChain, Hugging Face |
| Industries served | FinTech, Manufacturing, Telecom, Retail & E-commerce | FinTech, Healthcare, Manufacturing, Retail & E-commerce |
XenonStack vs LeewayHertz: overview
XenonStack
XenonStack was founded in 2016 by Navdeep Singh Gill and is based in Mohali, India, operating as a technology consulting company centered on real-time data, generative AI, and agentic AI platform engineering. The company has grown from roughly 63 employees in 2023 to about 97 in 2026 and holds AWS, Azure, and Google Cloud partner status, alongside membership in the Cloud Native Computing Foundation and LF AI & Data. Its bootstrapped, revenue-funded growth (reported ~$3.8M ARR) suggests a stable but still relatively small operation for enterprise-scale programs.
LeewayHertz
LeewayHertz was founded in 2007 by Akash Takyar and Viresh Bhathia and is headquartered in San Francisco, combining strategic AI advisory with engineering delivery and proprietary AI platforms. On September 23, 2024, LeewayHertz was acquired by The Hackett Group, a publicly traded management consulting firm, giving it access to Hackett's enterprise client relationships. Reported employee counts range from roughly 194 to 300, and as with any recently acquired firm, prospective clients should verify current team continuity.
Services and capabilities: XenonStack vs LeewayHertz
| Capability | XenonStack | LeewayHertz |
|---|---|---|
| Custom ML Models | ✗ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: XenonStack vs LeewayHertz
| Framework / platform | XenonStack | LeewayHertz |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: XenonStack vs LeewayHertz
| Criterion | XenonStack | LeewayHertz |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Retainer, Dedicated team | Project-based, Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: XenonStack vs LeewayHertz
| Dimension | XenonStack | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Telecom | FinTech, Healthcare, Manufacturing |
| Best use cases | Enterprise needs a real-time data platform feeding downstream ML models., Company is building agentic AI workflows and needs specialist platform engineering, not just model development. | Enterprise wants AI consulting from a firm now backed by a publicly traded management consultancy., Company needs generative AI or AI agent development with proprietary platform accelerators. |
| Typical project type | Project-based | Project-based |
XenonStack vs LeewayHertz: pros and cons
| XenonStack | |
|---|---|
| + | Multi-cloud partner status across AWS, Azure, and Google Cloud gives flexibility on platform choice rather than pushing a single vendor stack. |
| + | Bootstrapped and profitable growth trajectory (reported ~$3.8M ARR) signals operational stability without dependence on external funding rounds. |
| + | Cloud Native Computing Foundation and LF AI & Data membership reflects genuine open-source platform engineering involvement, not just marketing claims. |
| + | Specialization in agentic and real-time AI platform engineering is a differentiated niche versus generalist ML shops. |
| - | Team size of roughly 97 (2026) is small relative to the scale of enterprise real-time data platform programs it targets. |
| - | Conflicting HQ reports (Mohali, India vs. Dubai, UAE across sources) make it worth confirming the primary legal entity before contracting. |
| LeewayHertz | |
|---|---|
| + | 17 years of AI/software delivery history since 2007, well-established before its 2024 acquisition. |
| + | Now backed by The Hackett Group, a publicly traded management consulting firm, adding financial stability and enterprise client access. |
| + | Proprietary AI platform assets built pre-acquisition can shorten delivery timelines for common use cases. |
| - | September 2024 acquisition by The Hackett Group is recent enough that integration effects on pricing and delivery team stability are still unfolding. |
| - | Employee-count sources disagree meaningfully (194 vs. 300), so confirm current AI-delivery headcount directly. |
Who should choose XenonStack?
XenonStack is the right choice for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer..
Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Telecom, Retail & E-commerce.
Who should choose LeewayHertz?
LeewayHertz is the right choice for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group)..
AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Manufacturing, Retail & E-commerce.
Decision matrix: XenonStack vs LeewayHertz
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | XenonStack |
| Your budget is at the lower end | Compare: XenonStack (Not published) vs LeewayHertz (Not published) |
| You need specialist depth in a specific vertical | XenonStack |
| You need production MLOps support after model launch | XenonStack |
| You need consulting before committing to a build | LeewayHertz |
Use case fit: XenonStack vs LeewayHertz
| Use case | XenonStack fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Enterprise needs a real-time data platform feeding downstream ML models. | Strong | Strong | Both equally |
| Company is building agentic AI workflows and needs specialist platform engineering, not just model development. | Strong | Strong | Both equally |
| Enterprise wants AI consulting from a firm now backed by a publicly traded management consultancy. | Strong | Strong | Both equally |
| Company needs generative AI or AI agent development with proprietary platform accelerators. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: XenonStack vs LeewayHertz
XenonStack (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI.. It is best for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer..
LeewayHertz (4.2/5) is the better choice when enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group).. If your situation matches those criteria, LeewayHertz is a competitive option.
Related comparisons
XenonStack vs LeewayHertz FAQ
Is XenonStack better than LeewayHertz?
XenonStack (4.4/5) scores higher overall, but "better" depends on your use case. XenonStack is better for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer.. LeewayHertz is better for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group)..
How do XenonStack and LeewayHertz differ in pricing?
XenonStack uses project-based, retainer pricing with a minimum engagement of Not published. LeewayHertz uses project-based, retainer pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: XenonStack 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 XenonStack and LeewayHertz?
XenonStack's primary differentiator is: multi-cloud certified (aws, azure, gcp) platform-engineering specialist for real-time and agentic ai.. LeewayHertz's primary differentiator is: ai consultancy now operating as a hackett group company, combining startup-era agility with public-company backing.. They also differ in team size (50–100 vs 200–300), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs FinTech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.