RTS Labs vs Perficient: full comparison for 2026
Quick verdict
RTS Labs (4.4/5) edges ahead of Perficient (4.2/5) overall. RTS Labs is the better choice for U.S. firms needing onshore-only delivery. Perficient is the stronger option for mid-market Salesforce or Microsoft customers. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Perficient: head-to-head summary
| Criterion | RTS Labs | Perficient |
|---|---|---|
| Founded | 2010 | 1997 |
| HQ | Richmond, VA, USA | St. Louis, MO, USA |
| Team size | 100+ | ~7,000 |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Primary differentiator | All-U.S. engineering team and early MCP integration work | Agentforce capability expanded through the Kelley Austin acquisition |
| Pricing model | Fixed-scope phases and time & materials; rates on request | Fixed-scope projects, time & materials, and managed services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft Dynamics 365, Snowflake | Salesforce, Agentforce, Microsoft Dynamics 365 |
| Industries served | Logistics, Insurance, Legal, Financial services, Real estate, Healthcare | Healthcare, Financial services, Manufacturing, Retail & e-commerce |
RTS Labs vs Perficient: 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.
Perficient
Perficient is a digital consultancy founded in 1997, headquartered in St. Louis, with about 7,000 employees. Private-equity firm EQT took it private in October 2024 in a deal valued around $3 billion. In October 2025 it bought Dallas-based Salesforce partner Kelley Austin to add Agentforce, Data Cloud, and Revenue Cloud skills, and it has a broad partnership with Salesforce on agentic AI. IDC included its mid-market Salesforce practice in a 2025–2026 MarketScape report.
Services and capabilities: RTS Labs vs Perficient
| Capability | RTS Labs | Perficient |
|---|---|---|
| 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 Perficient
| Framework / platform | RTS Labs | Perficient |
|---|---|---|
| Salesforce | ✓ | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | ✓ | ✓ |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: RTS Labs vs Perficient
| Criterion | RTS Labs | Perficient |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Fixed-scope project, Time & materials, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: RTS Labs vs Perficient
| Dimension | RTS Labs | Perficient |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Logistics, Insurance, Legal | Healthcare, Financial services, Manufacturing |
| 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 | Agentforce deployments for mid-market sales teams, Revenue Cloud and Data Cloud work ahead of AI features |
| Typical project type | Fixed-scope project | Fixed-scope project |
RTS Labs vs Perficient: 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 |
| Perficient | |
|---|---|
| + | Salesforce and Microsoft practices under one roof. |
| + | Kelley Austin brought 400+ additional Salesforce certifications. |
| + | Mid-market Salesforce work is a stated focus. |
| + | Managed services are available for platforms it implements. |
| - | Private-equity owned (EQT) and actively acquiring, which can mean shifting teams |
| - | Generalist digital firm whose AI work is one practice among many |
| - | Leadership reports conflict across sources after the take-private |
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 Perficient?
A typical fit: agentforce deployments for mid-market sales teams.
Agentforce capability expanded through the Kelley Austin acquisition. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Manufacturing, Retail & e-commerce.
Decision matrix: RTS Labs vs Perficient
| 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 | Both offer managed services |
| Your budget is at the lower end | Compare: RTS Labs (Not disclosed) vs Perficient (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 | Both build agentic workflows |
| You need a large team for a multi-year program | Perficient |
Use case fit: RTS Labs vs Perficient
| Use case | RTS Labs fit | Perficient 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 |
| Agentforce deployments for mid-market sales teams | Limited | Strong | Perficient |
| Revenue Cloud and Data Cloud work ahead of AI features | Limited | Strong | Perficient |
Verdict: RTS Labs vs Perficient
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.
Perficient (4.2/5) is worth a look if you need revenue Cloud and Data Cloud work ahead of AI features. If your situation matches that, Perficient is a competitive option.
Related comparisons
RTS Labs vs Perficient FAQ
Is RTS Labs better than Perficient?
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. Perficient's strongest advantage: salesforce and Microsoft practices under one roof.
How do RTS Labs and Perficient differ in pricing?
RTS Labs's pricing: fixed-scope phases and time & materials; rates on request. Perficient's pricing: fixed-scope projects, time & materials, and managed services; 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 Perficient?
Perficient 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 Perficient?
RTS Labs's primary differentiator is: All-U.S. engineering team and early MCP integration work. Perficient's primary differentiator is: agentforce capability expanded through the Kelley Austin acquisition. They also differ in team size (100+ vs ~7,000), 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.