Top AI Integration Companies

Perficient vs RTS Labs: full comparison for 2026

Quick verdict

Perficient (4.2/5) edges ahead of RTS Labs (4.2/5) overall. Perficient is the better choice for marketing and service teams on Adobe or Salesforce. RTS Labs is the stronger option for U.S. mid-market firms with stalled AI pilots. The right choice depends on your project size, budget, and required tech stack.

Perficient vs RTS Labs: head-to-head summary

Criterion Perficient RTS Labs
Founded 1997 2010
HQ St. Louis, MO, USA Glen Allen, VA, USA
Team size 7,000+ 51–200
Rating 4.2 / 5 4.2 / 5
Primary differentiator Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections
Pricing model Fixed-scope and T&M, with nearshore and offshore rate mixes; rates on request Fixed-scope assessments and builds, then T&M; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Salesforce, Adobe Experience Manager, Azure OpenAI Salesforce, Snowflake, Azure OpenAI
Industries served Healthcare, Financial services, Retail, Manufacturing Logistics, Financial services, Healthcare, Manufacturing

Perficient vs RTS Labs: overview

Perficient

Perficient is a digital consultancy founded in 1997 and based in St. Louis, Missouri, with about 7,000 people across North America, Latin America and India. It was taken private by EQT's BPEA Private Equity Fund VIII in October 2024 and delisted from Nasdaq. It is a platform-partner firm: an Adobe Platinum Partner, one of seven Global Microsoft National Solution Provider partners, and a Salesforce consulting partner. It now markets itself as an AI-native consultancy.

RTS Labs

RTS Labs is a U.S. software and data consultancy founded in 2010, headquartered in Glen Allen, Virginia, near Richmond. It began with custom software, Salesforce implementation and business intelligence, and now positions itself as an implementation partner that takes AI and data systems from pilot to production. It says it has more than 100 senior engineers and AI architects and deploys in 8–12 weeks (per company website; independently unverifiable). Third-party estimates put headcount at 51–100.

Services and capabilities: Perficient vs RTS Labs

Capability Perficient RTS Labs
CRM / ERP integration ✓ ✓
LLM API gateway & cost control ✗ ✗
Document processing ✗ ✗
Agentic workflows ✓ ✓
Fixed-price pilot ✗ ✗
Managed services after launch ✗ ✗
PII masking & access control ✗ ✗

Tech stack comparison: Perficient vs RTS Labs

Framework / platform Perficient RTS Labs
Salesforce ✓ ✓
SAP N/A N/A
Microsoft Dynamics 365 ✓ N/A
HubSpot N/A N/A
Snowflake N/A ✓
Databricks ✓ N/A
Azure OpenAI ✓ ✓
AWS Bedrock N/A ✓
LangChain N/A N/A
ServiceNow N/A N/A

Pricing comparison: Perficient vs RTS Labs

Criterion Perficient RTS Labs
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Time & materials, Dedicated team Fixed project, Time & materials
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Perficient vs RTS Labs

Dimension Perficient RTS Labs
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Financial services, Retail Logistics, Financial services, Healthcare
Best use cases Generative content and personalization inside Adobe Experience Cloud., Service-desk assistants built on Dynamics 365 and Azure OpenAI. Connecting an AI agent to ERP order data for a logistics company., Rescuing a stalled proof of concept and putting it into production.
Typical project type Fixed project Fixed project

Perficient vs RTS Labs: pros and cons

Perficient
+ More than 800 Adobe engagements give it strong customer-experience integration patterns
+ Global Microsoft NSP status is a confirmed, top-level relationship
+ Nearshore teams in Latin America keep time zones aligned for U.S. clients
+ Healthcare practice familiar with patient-data rules
- Owned by private-equity investor EQT since October 2024, which can bring cost pressure and strategy shifts
- AI positioning is recent, and published AI case detail is lighter than its platform work
- Salesforce partner tier is not confirmed in public sources
RTS Labs
+ Onshore U.S. delivery suits buyers who need data to stay with domestic staff
+ Salesforce implementation history helps when the CRM is part of the build
+ Explicit focus on production readiness, monitoring and fine-tuning after launch
+ Mid-market size keeps engagement minimums modest
- Deployment-time and client-count claims are self-reported
- Glassdoor employee reviews average about 3.0, which may point to retention issues
- Smaller bench than national consultancies

Who should choose Perficient?

A typical fit: generative content and personalization inside Adobe Experience Cloud.

Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Retail, Manufacturing.

Who should choose RTS Labs?

A typical fit: connecting an AI agent to ERP order data for a logistics company.

Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Financial services, Healthcare, Manufacturing.

Decision matrix: Perficient vs RTS Labs

Your situation Recommended choice
You want a fixed-price audit or pilot before committing Neither advertises one; ask for a scoped pilot
AI has to work inside your existing CRM or ERP Both
Personal data must be masked and answers limited by user permissions Ask both for their PII and access-control design
Your budget is at the lower end Compare: Perficient (Not disclosed) vs RTS Labs (Not disclosed)
You want the vendor to run the AI service after launch Neither offers managed services; plan in-house operations
You are building multi-step agents across systems RTS Labs

Use case fit: Perficient vs RTS Labs

Use case Perficient fit RTS Labs fit Winner
Generative content and personalization inside Adobe Experience Cloud. Strong Limited Perficient
Service-desk assistants built on Dynamics 365 and Azure OpenAI. Strong Limited Perficient
Connecting an AI agent to ERP order data for a logistics company. Limited Strong RTS Labs
Rescuing a stalled proof of concept and putting it into production. Limited Strong RTS Labs

Verdict: Perficient vs RTS Labs

Perficient (4.2/5) is the stronger overall choice for most AI Integration projects. Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft.

RTS Labs (4.2/5) is worth a look if you need rescuing a stalled proof of concept and putting it into production. If your situation matches that, RTS Labs is a competitive option.

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Perficient vs RTS Labs FAQ

Is Perficient better than RTS Labs?

Perficient (4.2/5) scores higher overall, but "better" depends on your use case. Perficient's strongest advantage: more than 800 Adobe engagements give it strong customer-experience integration patterns. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff.

How do Perficient and RTS Labs differ in pricing?

Perficient pricing: Fixed-scope and T&M, with nearshore and offshore rate mixes; rates on request. RTS Labs pricing: Fixed-scope assessments and builds, then T&M; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Perficient or RTS Labs?

RTS Labs 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 Perficient and RTS Labs?

Perficient's primary differentiator is: adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft. RTS Labs's primary differentiator is: onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. They also differ in team size (7,000+ vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Financial services vs Logistics, Financial services).

Verify all details directly with each company before making a decision.