Quantiphi vs LeewayHertz: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of LeewayHertz (3.8/5) overall. Quantiphi is the better choice for large document-heavy programs on Google Cloud or AWS. LeewayHertz is the stronger option for buyers open to a platform-based build. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs LeewayHertz: head-to-head summary
| Criterion | Quantiphi | LeewayHertz |
|---|---|---|
| Founded | 2013 | 2007 |
| HQ | Marlborough, MA, USA | Gurugram, India (U.S. office: San Francisco) |
| Team size | 3,500+ | ~200 |
| Rating | 4.3 / 5 | 3.8 / 5 |
| Primary differentiator | Partner-of-the-year history with both Google Cloud and AWS on AI work | ZBrain platform for assembling enterprise AI apps |
| Pricing model | Fixed-scope projects, time & materials, and dedicated teams; rates on request | Platform licensing plus project fees; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Vertex AI, AWS Bedrock, Snowflake | ZBrain, LangChain, Azure OpenAI |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Financial services, Retail & e-commerce, Healthcare, Manufacturing |
Quantiphi vs LeewayHertz: overview
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and employs over 3,500 people, most of them in India. It reports 21 Google Cloud Partner of the Year awards over ten years and three AWS AI/ML Partner of the Year awards (per company materials; independently unverifiable). Document AI, contact-center AI, and healthcare and insurance workflows make up much of its integration work. Its size lets it staff large programs while still working only on AI and data.
LeewayHertz
LeewayHertz was founded in 2007 in Gurugram, India, and keeps a U.S. office in San Francisco, with roughly 150–300 staff. The Hackett Group bought it in September 2024 for $7.8 million, per Hackett's SEC filings, and the two formed a joint venture around its ZBrain enterprise AI platform. It publishes a very large volume of AI content, which inflates its visibility relative to its verifiable delivery record. ZBrain is model-agnostic across the major LLM providers.
Services and capabilities: Quantiphi vs LeewayHertz
| Capability | Quantiphi | LeewayHertz |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✓ | ✗ |
| Conversational AI | ✓ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
Tech stack comparison: Quantiphi vs LeewayHertz
| Framework / platform | Quantiphi | LeewayHertz |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | N/A | N/A |
| BigQuery | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Quantiphi vs LeewayHertz
| Criterion | Quantiphi | LeewayHertz |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Fixed-scope project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs LeewayHertz
| Dimension | Quantiphi | LeewayHertz |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare, Insurance, Financial services | Financial services, Retail & e-commerce, Healthcare |
| Best use cases | Claims and medical-record extraction for insurers, Contact-center assistants on Google Cloud | Building internal AI apps on ZBrain, Process automation agents for back-office teams |
| Typical project type | Fixed-scope project | Fixed-scope project |
Quantiphi vs LeewayHertz: pros and cons
| Quantiphi | |
|---|---|
| + | Partner depth on two hyperscalers instead of one. |
| + | Document AI and contact-center AI are mature practice areas. |
| + | Enough staff to run several workstreams in parallel. |
| + | A multi-year Google Cloud partnership announced in 2026 covers joint industry solutions. |
| - | Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial |
| - | Fixed-price pilots aren't advertised as a standard entry point |
| - | Award counts come from the company itself |
| LeewayHertz | |
|---|---|
| + | ZBrain gives a starting framework instead of a blank build. |
| + | Backed by a Nasdaq-listed parent after the 2024 deal. |
| + | Works with several model providers. |
| - | Acquired by The Hackett Group in 2024; direction now follows the parent's strategy |
| - | Visibility comes largely from content marketing, not verified case work |
| - | Platform-based delivery can tie clients to ZBrain |
Who should choose Quantiphi?
A typical fit: claims and medical-record extraction for insurers.
Partner-of-the-year history with both Google Cloud and AWS on AI work. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
Who should choose LeewayHertz?
A typical fit: building internal AI apps on ZBrain.
ZBrain platform for assembling enterprise AI apps. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail & e-commerce, Healthcare, Manufacturing.
Decision matrix: Quantiphi vs LeewayHertz
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Neither; plan for your own team to run it |
| Your budget is at the lower end | Compare: Quantiphi (Not disclosed) vs LeewayHertz (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Check each profile; neither lists CRM or ERP work |
| You need multi-step agents acting across systems | LeewayHertz |
| You need a large team for a multi-year program | Quantiphi |
Use case fit: Quantiphi vs LeewayHertz
| Use case | Quantiphi fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Claims and medical-record extraction for insurers | Strong | Limited | Quantiphi |
| Contact-center assistants on Google Cloud | Strong | Limited | Quantiphi |
| Building internal AI apps on ZBrain | Limited | Strong | LeewayHertz |
| Process automation agents for back-office teams | Limited | Strong | LeewayHertz |
Verdict: Quantiphi vs LeewayHertz
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration Services projects. Partner-of-the-year history with both Google Cloud and AWS on AI work.
LeewayHertz (3.8/5) is worth a look if you need process automation agents for back-office teams. If your situation matches that, LeewayHertz is a competitive option.
Related comparisons
Quantiphi vs LeewayHertz FAQ
Is Quantiphi better than LeewayHertz?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: partner depth on two hyperscalers instead of one. LeewayHertz's strongest advantage: ZBrain gives a starting framework instead of a blank build.
How do Quantiphi and LeewayHertz differ in pricing?
Quantiphi's pricing: fixed-scope projects, time & materials, and dedicated teams; rates on request. LeewayHertz's pricing: platform licensing plus project fees; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Quantiphi or LeewayHertz?
Quantiphi is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Quantiphi and LeewayHertz?
Quantiphi's primary differentiator is: partner-of-the-year history with both Google Cloud and AWS on AI work. LeewayHertz's primary differentiator is: ZBrain platform for assembling enterprise AI apps. They also differ in team size (3,500+ vs ~200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Financial services, Retail & e-commerce).
Verify all details directly with each provider before making a decision.