RTS Labs
Richmond applied-AI consultancy with an all-U.S. team and a pilot-to-production focus
What is 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.
RTS Labs works primarily with clients in Logistics, Insurance, Legal, Financial services, Real estate, Healthcare sectors. Its primary differentiator is: All-U.S. engineering team and early MCP integration work.
RTS Labs tech stack and services
| Service area |
|---|
| Agentic AI |
| ERP Integration |
| CRM Integration |
| LLM API Integration |
| Predictive Analytics |
RTS Labs pricing
Short answer: RTS Labs prices its work as follows: fixed-scope phases and time & materials; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed-scope project | Quoted per project | A well-defined scope |
| Time & materials | Hourly; see pricing model above | Scope that will change as you learn |
| Managed services | Monthly fee; not public | Running and monitoring live systems |
RTS Labs pros and cons
| Advantages | Things to consider |
|---|---|
| +Every engineer is U.S.-based, which simplifies data-residency and security reviews. | -Onshore-only staffing means higher rates than nearshore firms |
| +MCP server work lets agents call internal tools through one standard interface. | -Its published timelines vary between 90 days and 8–12 weeks depending on the page |
| +Logistics and insurance case work ties AI into operational systems. | -No hyperscaler partner tier is prominent in its materials |
| +Offers ongoing support once a system is live. |
RTS Labs vs alternatives
How RTS Labs compares to the other top AI Integration Services providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Buyers who want a priced pilot before a... | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | 4.8 | Full comparison |
| Provectus | AWS-centric companies adding generative AI. | AWS Premier Tier status with a gen-AI practice built around Bedrock | 4.6 | Full comparison |
| Slalom | Mid-size and large firms on several platforms at... | Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm | 4.5 | Full comparison |
| Neurons Lab | Banks and insurers piloting AI agents. | AWS Generative AI competency combined with a financial-services client base | 4.5 | Full comparison |
| deepsense.ai | Teams needing RAG and evaluation done properly. | Evaluation frameworks that test model output before it reaches users | 4.5 | Full comparison |
| Coastal Cloud | Salesforce customers rolling out Agentforce. | Summit-tier Salesforce practice concentrated on Agentforce and Data Cloud | 4.4 | Full comparison |
| Hitachi Solutions | Dynamics 365 shops adding Copilot. | A practice that works only on Microsoft technology, centered on Dynamics 365 | 4.4 | Full comparison |
| Datatonic | Companies whose data already lives in BigQuery. | Google Cloud focus with LLMOps tooling for monitored production models | 4.3 | Full comparison |
| Quantiphi | Large document-heavy programs on Google Cloud or AWS. | Partner-of-the-year history with both Google Cloud and AWS on AI work | 4.3 | Full comparison |
| Addepto | Manufacturers connecting AI to engineering data. | Integration work with industrial systems such as SCADA, CAD, and PLM | 4.3 | Full comparison |
| Master of Code Global | Support teams adding chat or voice agents. | Dedicated conversation designers working beside the engineers | 4.3 | Full comparison |
| Perficient | Mid-market Salesforce or Microsoft customers. | Agentforce capability expanded through the Kelley Austin acquisition | 4.2 | Full comparison |
| Avanade | Large Microsoft-standardized enterprises. | Microsoft-only scale, with Accenture as majority owner | 4.2 | Full comparison |
| Grid Dynamics | Retailers adding agentic commerce features. | Packaged agentic platforms (GAIN) sitting on top of custom engineering | 4.2 | Full comparison |
| Thoughtworks | Engineering-led teams with strict code standards. | Engineering practice reputation applied to AI-first delivery | 4.2 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade controls. | Risk, audit, and regulatory teams working next to the integrators | 4.1 | Full comparison |
| EPAM Systems | Enterprises with multi-year engineering budgets. | Engineering capacity across Europe, India, and the Americas for long AI programs | 4.1 | Full comparison |
| Globant | Buyers wanting subscription pricing on AI delivery. | AI Pods priced by output or consumption instead of hours | 4.1 | Full comparison |
| InData Labs | Smaller budgets, analytics and document AI. | Predictive analytics depth at mid-band European rates | 4.1 | Full comparison |
| Capgemini | Global firms outsourcing AI-run back-office processes. | Business-process outsourcing combined with agentic AI after the WNS deal | 4.0 | Full comparison |
| Persistent Systems | Cost-conscious enterprises with offshore teams. | Offshore engineering scale with its own gen-AI delivery platform | 4.0 | Full comparison |
| SoftServe | Document AI projects on Google Cloud. | Google Cloud Premier status with Document AI expertise | 4.0 | Full comparison |
| Azumo | U.S. startups wanting nearshore AI engineers. | Latin American engineers working U.S. hours | 4.0 | Full comparison |
| STX Next | Python-heavy product teams. | Python engineering depth applied to AI and data work | 4.0 | Full comparison |
| Miquido | Consumer apps adding AI features. | Product design and mobile skills around the AI work | 3.9 | Full comparison |
| Koombea | Product teams wanting fixed-scope AI sprints. | Story-point-scoped AI Pods in two-week cycles | 3.9 | Full comparison |
| ScienceSoft | Tight budgets needing a small first project. | Lowest published entry point on this list ($5K Clutch minimum) | 3.9 | Full comparison |
| Svitla Systems | Long-term AI team extension. | Dedicated teams split across Latin America and Eastern Europe | 3.9 | Full comparison |
| Coherent Solutions | Product companies needing steady engineering capacity. | Three decades of product engineering with a data and AI practice | 3.9 | Full comparison |
| N-iX | Enterprises connecting AI to SAP data. | SAP, Snowflake, and Palantir partnerships in one engineering firm | 3.9 | Full comparison |
| Vention | Funded startups needing AI developers fast. | Large developer pool for startup and scale-up teams | 3.8 | Full comparison |
| Itransition | Companies bundling AI with wider IT work. | AI/ML center of excellence within a wide IT services catalog | 3.8 | Full comparison |
| LeewayHertz | Buyers open to a platform-based build. | ZBrain platform for assembling enterprise AI apps | 3.8 | Full comparison |
RTS Labs FAQ
What is RTS Labs?
Richmond applied-AI consultancy with an all-U.S. team and a pilot-to-production focus
How much does RTS Labs charge?
Pricing model: fixed-scope phases and time & materials; rates on request. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does RTS Labs use?
RTS Labs works with Salesforce, Microsoft Dynamics 365, Snowflake, AWS Bedrock, Azure OpenAI, LangChain. Primary industries served include Logistics, Insurance, Legal, Financial services, Real estate, Healthcare.
Is RTS Labs right for enterprise?
Best for: U.S. firms needing onshore-only delivery. Team size: 100+. Key consideration: Onshore-only staffing means higher rates than nearshore firms.
What are the best RTS Labs alternatives?
The best alternatives to RTS Labs depend on your use case. Top options are:
- Tensorway: fixed-price audit and pilot, with the per-request API cost modeled before rollout
- Provectus: AWS Premier Tier status with a gen-AI practice built around Bedrock
- Slalom: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm
Compare RTS Labs with other AI Integration Services providers
Verify all details directly with RTS Labs before making a decision.