RTS Labs vs Persistent Systems: full comparison for 2026
Quick verdict
RTS Labs (4.4/5) edges ahead of Persistent Systems (4.0/5) overall. RTS Labs is the better choice for U.S. firms needing onshore-only delivery. Persistent Systems is the stronger option for cost-conscious enterprises with offshore teams. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Persistent Systems: head-to-head summary
| Criterion | RTS Labs | Persistent Systems |
|---|---|---|
| Founded | 2010 | 1990 |
| HQ | Richmond, VA, USA | Pune, India |
| Team size | 100+ | 28,600+ |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Primary differentiator | All-U.S. engineering team and early MCP integration work | Offshore engineering scale with its own gen-AI delivery platform |
| Pricing model | Fixed-scope phases and time & materials; rates on request | Time & materials and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft Dynamics 365, Snowflake | Salesforce, Azure OpenAI, AWS Bedrock |
| Industries served | Logistics, Insurance, Legal, Financial services, Real estate, Healthcare | Healthcare, Financial services, Telecom, Manufacturing |
RTS Labs vs Persistent Systems: 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.
Persistent Systems
Persistent Systems is a Pune-based software engineering company founded in 1990, with 28,640 employees as of June 2026, most of them in India. It built SASVA, an in-house generative AI platform for software delivery, and has filed 35 patents around it (per company annual report). Its staff hold more than 1,000 Salesforce AI Associate credentials, and it partners with Microsoft, AWS, and Google Cloud. Revenue grew for its 25th straight quarter in Q1 FY27.
Services and capabilities: RTS Labs vs Persistent Systems
| Capability | RTS Labs | Persistent Systems |
|---|---|---|
| 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 Persistent Systems
| Framework / platform | RTS Labs | Persistent Systems |
|---|---|---|
| Salesforce | ✓ | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: RTS Labs vs Persistent Systems
| Criterion | RTS Labs | Persistent Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: RTS Labs vs Persistent Systems
| Dimension | RTS Labs | Persistent Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Logistics, Insurance, Legal | Healthcare, Financial services, Telecom |
| 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 | Offshore Salesforce AI implementation teams, Healthcare data integrations ahead of AI features |
| Typical project type | Fixed-scope project | Time & materials |
RTS Labs vs Persistent Systems: 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 |
| Persistent Systems | |
|---|---|
| + | Lower blended rates than U.S. or European integrators of similar size. |
| + | More than 1,000 Salesforce AI credentials across the staff. |
| + | SASVA platform aims to speed up delivery of the integration code itself. |
| + | Steady financial track record. |
| - | Mostly India-based delivery, with limited overlap for U.S. West Coast teams |
| - | Little visible packaging for a fixed-price pilot |
| - | Generalist engineering firm; AI integration is one of many lines |
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 Persistent Systems?
A typical fit: offshore Salesforce AI implementation teams.
Offshore engineering scale with its own gen-AI delivery platform. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Telecom, Manufacturing.
Decision matrix: RTS Labs vs Persistent Systems
| 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 Persistent Systems (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Both have CRM or ERP integration work |
| You need multi-step agents acting across systems | RTS Labs |
| You need a large team for a multi-year program | Persistent Systems |
Use case fit: RTS Labs vs Persistent Systems
| Use case | RTS Labs fit | Persistent Systems 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 |
| Offshore Salesforce AI implementation teams | Limited | Strong | Persistent Systems |
| Healthcare data integrations ahead of AI features | Limited | Strong | Persistent Systems |
Verdict: RTS Labs vs Persistent Systems
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.
Persistent Systems (4.0/5) is worth a look if you need healthcare data integrations ahead of AI features. If your situation matches that, Persistent Systems is a competitive option.
Related comparisons
RTS Labs vs Persistent Systems FAQ
Is RTS Labs better than Persistent Systems?
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. Persistent Systems's strongest advantage: lower blended rates than U.S. or European integrators of similar size.
How do RTS Labs and Persistent Systems differ in pricing?
RTS Labs's pricing: fixed-scope phases and time & materials; rates on request. Persistent Systems's pricing: time & materials and dedicated teams; 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 Persistent Systems?
Persistent Systems 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 Persistent Systems?
RTS Labs's primary differentiator is: All-U.S. engineering team and early MCP integration work. Persistent Systems's primary differentiator is: offshore engineering scale with its own gen-AI delivery platform. They also differ in team size (100+ vs 28,600+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Logistics, Insurance vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.