Top AI Integration Companies

Grid Dynamics vs RTS Labs: full comparison for 2026

Quick verdict

Grid Dynamics (4.3/5) edges ahead of RTS Labs (4.2/5) overall. Grid Dynamics is the better choice for retailers adding AI to commerce and supply chain systems. 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.

Grid Dynamics vs RTS Labs: head-to-head summary

Criterion Grid Dynamics RTS Labs
Founded 2006 2010
HQ San Ramon, CA, USA Glen Allen, VA, USA
Team size 4,800+ 51–200
Rating 4.3 / 5 4.2 / 5
Primary differentiator Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections
Pricing model T&M and dedicated teams; rates on request Fixed-scope assessments and builds, then T&M; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Google Vertex AI, Azure OpenAI, AWS Bedrock Salesforce, Snowflake, Azure OpenAI
Industries served Retail & e-commerce, Manufacturing, Financial services, Technology Logistics, Financial services, Healthcare, Manufacturing

Grid Dynamics vs RTS Labs: overview

Grid Dynamics

Grid Dynamics is a publicly traded (Nasdaq: GDYN) digital engineering firm founded in 2006 and headquartered in San Ramon, California. It reported 4,838 employees in mid-2026, most of them engineers outside the U.S., and said AI work made up 30.7% of second-quarter 2026 revenue. The company's GAIN platforms package agentic patterns for commerce, software delivery, risk and compliance. Retail and consumer brands are its most established vertical.

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: Grid Dynamics vs RTS Labs

Capability Grid Dynamics 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: Grid Dynamics vs RTS Labs

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

Pricing comparison: Grid Dynamics vs RTS Labs

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

Target audience comparison: Grid Dynamics vs RTS Labs

Dimension Grid Dynamics RTS Labs
Best company size Startup to mid-market Startup to mid-market
Best industries Retail & e-commerce, Manufacturing, Financial services Logistics, Financial services, Healthcare
Best use cases Agentic product search and merchandising for a large online retailer., Demand and price forecasting fed into supply-chain planning. 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 Time & materials Fixed project

Grid Dynamics vs RTS Labs: pros and cons

Grid Dynamics
+ Public company disclosures give unusual visibility into headcount, AI revenue share and stability
+ Strong search, recommendation and pricing work for large retailers
+ Engineering-first culture comfortable with complex cloud data platforms
+ Accelerators shorten the start of commerce and compliance agent projects
- Built for large accounts, and small pilots are not its usual entry point
- Headcount shrank in 2026 as non-billable roles were cut
- Less hands-on work inside packaged ERP or CRM suites
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 Grid Dynamics?

A typical fit: agentic product search and merchandising for a large online retailer.

Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Manufacturing, Financial services, Technology.

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: Grid Dynamics 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 RTS Labs
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: Grid Dynamics (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 Both

Use case fit: Grid Dynamics vs RTS Labs

Use case Grid Dynamics fit RTS Labs fit Winner
Agentic product search and merchandising for a large online retailer. Strong Limited Grid Dynamics
Demand and price forecasting fed into supply-chain planning. Strong Limited Grid Dynamics
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: Grid Dynamics vs RTS Labs

Grid Dynamics (4.3/5) is the stronger overall choice for most AI Integration projects. Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting.

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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Grid Dynamics vs RTS Labs FAQ

Is Grid Dynamics better than RTS Labs?

Grid Dynamics (4.3/5) scores higher overall, but "better" depends on your use case. Grid Dynamics's strongest advantage: public company disclosures give unusual visibility into headcount, AI revenue share and stability. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff.

How do Grid Dynamics and RTS Labs differ in pricing?

Grid Dynamics pricing: T&M and dedicated teams; 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: Grid Dynamics 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 Grid Dynamics and RTS Labs?

Grid Dynamics's primary differentiator is: packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting. 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 (4,800+ vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Manufacturing vs Logistics, Financial services).

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