RTS Labs vs LeewayHertz: full comparison for 2026
Quick verdict
RTS Labs (4.4/5) edges ahead of LeewayHertz (3.8/5) overall. RTS Labs is the better choice for U.S. firms needing onshore-only delivery. 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.
RTS Labs vs LeewayHertz: head-to-head summary
| Criterion | RTS Labs | LeewayHertz |
|---|---|---|
| Founded | 2010 | 2007 |
| HQ | Richmond, VA, USA | Gurugram, India (U.S. office: San Francisco) |
| Team size | 100+ | ~200 |
| Rating | 4.4 / 5 | 3.8 / 5 |
| Primary differentiator | All-U.S. engineering team and early MCP integration work | ZBrain platform for assembling enterprise AI apps |
| Pricing model | Fixed-scope phases and time & materials; rates on request | Platform licensing plus project fees; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft Dynamics 365, Snowflake | ZBrain, LangChain, Azure OpenAI |
| Industries served | Logistics, Insurance, Legal, Financial services, Real estate, Healthcare | Financial services, Retail & e-commerce, Healthcare, Manufacturing |
RTS Labs vs LeewayHertz: overview
RTS Labs
RTS Labs has been building software since 2010 from Richmond, Virginia, and now positions itself as an applied-AI consultancy. Its 100-plus staff are all U.S.-based, which matters for clients that can't send data or system access offshore. The firm says it has shipped over 600 software and AI systems and that core implementations usually reach production in 8–12 weeks (per company website; independently unverifiable). It's also one of the few mid-size firms publicly building Model Context Protocol (MCP) server integrations for enterprise tools.
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: RTS Labs vs LeewayHertz
| Capability | RTS Labs | 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: RTS Labs vs LeewayHertz
| Framework / platform | RTS Labs | LeewayHertz |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: RTS Labs vs LeewayHertz
| Criterion | RTS Labs | LeewayHertz |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Fixed-scope project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: RTS Labs vs LeewayHertz
| Dimension | RTS Labs | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Logistics, Insurance, Legal | Financial services, Retail & e-commerce, Healthcare |
| Best use cases | Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions, Building MCP servers so assistants can query internal tools | Building internal AI apps on ZBrain, Process automation agents for back-office teams |
| Typical project type | Fixed-scope project | Fixed-scope project |
RTS Labs vs LeewayHertz: pros and cons
| RTS Labs | |
|---|---|
| + | Every engineer is U.S.-based, which simplifies data-residency and security reviews. |
| + | MCP server work lets agents call internal tools through one standard interface. |
| + | Logistics and insurance case work ties AI into operational systems. |
| + | Offers ongoing support once a system is live. |
| - | Onshore-only staffing means higher rates than nearshore firms |
| - | Its published timelines vary between 90 days and 8–12 weeks depending on the page |
| - | No hyperscaler partner tier is prominent in its materials |
| 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 RTS Labs?
A typical fit: connecting an agent to a TMS (transportation management system) and ERP for freight exceptions.
All-U.S. engineering team and early MCP integration work. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Insurance, Legal, Financial services, Real estate, Healthcare.
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: RTS Labs 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 | RTS Labs |
| Your budget is at the lower end | Compare: RTS Labs (Not disclosed) vs LeewayHertz (Not disclosed) |
| The AI has to read and write in your CRM or ERP | RTS Labs |
| You need multi-step agents acting across systems | Both build agentic workflows |
| You need a large team for a multi-year program | LeewayHertz |
Use case fit: RTS Labs vs LeewayHertz
| Use case | RTS Labs fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions | Strong | Limited | RTS Labs |
| Building MCP servers so assistants can query internal tools | Strong | Limited | RTS Labs |
| Building internal AI apps on ZBrain | Limited | Strong | LeewayHertz |
| Process automation agents for back-office teams | Limited | Strong | LeewayHertz |
Verdict: RTS Labs vs LeewayHertz
RTS Labs (4.4/5) is the stronger overall choice for most AI Integration Services projects. All-U.S. engineering team and early MCP integration 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
RTS Labs vs LeewayHertz FAQ
Is RTS Labs better than LeewayHertz?
RTS Labs (4.4/5) scores higher overall, but "better" depends on your use case. RTS Labs's strongest advantage: every engineer is U.S.-based, which simplifies data-residency and security reviews. LeewayHertz's strongest advantage: ZBrain gives a starting framework instead of a blank build.
How do RTS Labs and LeewayHertz differ in pricing?
RTS Labs's pricing: fixed-scope phases and time & materials; 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: RTS Labs 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 provider before shortlisting.
What are the main differences between RTS Labs and LeewayHertz?
RTS Labs's primary differentiator is: All-U.S. engineering team and early MCP integration work. LeewayHertz's primary differentiator is: ZBrain platform for assembling enterprise AI apps. They also differ in team size (100+ vs ~200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Logistics, Insurance vs Financial services, Retail & e-commerce).
Verify all details directly with each provider before making a decision.