RTS Labs
RTS Labs is a Richmond, VA-based boutique applied AI consulting firm founded in 2010 that designs, builds, and deploys production AI systems — including autonomous agents, RAG chatbots, and MCP server integrations — for enterprise and mid-market clients in financial services, insurance, logistics, real estate, and private equity using a 100% US-based senior engineering team.
- Company typePrivate
- Founded2010
- HeadquartersGlen Allen, United States
- Headcount11–50
- GTM typeB2B
- OfferingServices
What RTS Labs does
RTS Labs is a privately held, US-based boutique applied AI consulting firm founded in 2010 and headquartered in the Glen Allen/Richmond, Virginia area. The firm delivers production AI systems — including autonomous AI agents, RAG-powered chatbots, generative AI applications, predictive analytics, and custom MCP (Model Context Protocol) server integrations — directly to enterprise and mid-market clients. Its core services span AI Consulting, AI Agent Development, Generative AI Consulting, AI Integration Services, Data Engineering, Data Science, DevOps & Cloud, Digital Transformation, MVP-to-Enterprise Hardening, and Platform Services across AWS, Azure, Salesforce, Snowflake, and MuleSoft. The firm targets five primary verticals — Financial Services, Insurance, Logistics & Transportation, Real Estate & Construction, and Private Equity — with recent expansion into Legal Services and HR/Professional Services, citing 600+ customers served and 200+ projects shipped over 14+ years.
The firm's commercial model is built on fixed-price, fixed-timeline project engagements that begin with a fixed-fee Discovery Sprint, followed by scoped build phases typically lasting 4-16 weeks depending on complexity. Revenue is generated through professional services fees on Agentic AI builds, AI integration projects, generative AI deployments, data engineering programs, and enterprise hardening work. RTS Labs maintains a 100% US-based senior engineering team and operates a direct enterprise sales motion with no channel partners or self-serve product, supplemented by content marketing, podcast and video series, case studies, and earned media through industry buyer's guides. Named enterprise customers include WEX (NYSE: WEX), Landstar, CarMax, Dominion Energy, Advance Auto Parts, Centivo, Suncoast, Bennett International, Twiddy & Company, and Goodwill Industries International, with documented outcomes such as 3.1x loan review throughput, 74% reduction in manual data assembly, 31% increase in claims capacity, and FNOL-to-adjuster contact improvement from 2.8 days to 4 hours.
RTS Labs firmographics
Firmographics- Name
- RTS Labs
- Legal name
- RTS Labs
- Website
- https://rtslabs.com
- Company type
- Private
- Founded year
- 2010
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- RTS Labs is a Richmond, VA-based boutique applied AI consulting firm founded in 2010 that designs, builds, and deploys production AI systems — including autonomous agents, RAG chatbots, and MCP server integrations — for enterprise and mid-market clients in financial services, insurance, logistics, real estate, and private equity using a 100% US-based senior engineering team.
- Ownership category
- akta.pro rank
RTS Labs industry classification
Industry- Product category
- AI Consulting Services
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design Services (541512), Computer Systems Design and Related Services (5415), Management Consulting Services (54161)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373), Services-Management Consulting Services (8742)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industries
- Data, Analytics & AI Consulting (BPAHAEAF), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)
Keywords
Where RTS Labs is headquartered
LocationHeadquarters
- HQ city
- Glen Allen
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
RTS Labs business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- AI Consulting & Strategy Engagements: Project-based professional services revenue model. Every engagement starts with a fixed-fee Discovery Sprint to validate feasibility before larger commitment. Builds are scoped as fixed-price projects with defined deliverables and milestones — no open-ended retainers, no hourly billing that creeps. Clients know the number before they start.
- Agentic AI Development: Fixed-scope development engagements for building and deploying autonomous AI agents. Typically 6-12 weeks depending on complexity. Discovery sprint runs 2-3 weeks. Full agent builds are fixed-price projects.
- AI Integration & MCP Server Development: Enterprise integration projects connecting AI to existing systems (CRM, ERP, data warehouses). Focused integrations typically 4-12 weeks with 1-2 week discovery sprint upfront. Fixed scope and pricing before development begins.
- MVP to Enterprise Hardening: Technical audit sprint (1-2 weeks) followed by full hardening engagements typically 8-16 weeks. Fixed timeline and fixed price scoped during audit. Addresses security, CI/CD, observability, performance, and AI-specific hardening.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Discovery Sprint - Fixed-fee initial engagement |
| Other | Multi-year contract | Agentic AI Development - Fixed-scope build |
| Other | Multi-year contract | AI Integration Projects - Fixed-price |
| Other | Multi-year contract | MVP Hardening - Technical Audit + Remediation |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels10 records
RTS Labs product offering
Product offeringCore offering
RTS Labs is a boutique applied AI consulting firm that designs, builds, and deploys production AI systems — including autonomous AI agents, RAG-powered chatbots, custom MCP (Model Context Protocol) servers, and enterprise data platforms — for mid-market and enterprise clients. Engagements are fixed-scope with defined deliverables, senior US-based engineering teams, and a 90-day ship timeline, spanning AI consulting, agentic AI development, generative AI, AI integration, data engineering, and enterprise software modernization across Financial Services, Insurance, Logistics, Real Estate, Private Equity, and other verticals.
Product overview
RTS Labs is a boutique applied AI consulting firm offering a portfolio of services organized around AI consulting, agentic AI development, generative AI, and AI integration. The core offering includes AI Consulting (strategy to results), AI Agent Development (autonomous agents), Generative AI Consulting, AI Integration Services, and Data Engineering/Data Science. Supporting services include DevOps & Cloud, Digital Transformation, MVP to Enterprise Hardening, and Platform Services (Salesforce, Snowflake, AWS, Azure, MuleSoft). Industry-specific AI solutions are offered for Financial Services, Insurance, Logistics & Transportation, Real Estate & Construction, and Private Equity. The firm also offers MCP Server Development as a key differentiator — a custom Model Context Protocol layer enabling AI agents to securely access multiple enterprise systems simultaneously. All engagements are delivery-focused with fixed timelines and senior engineering teams.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Consulting End-to-end AI consulting service for mid-market and enterprise companies that scopes, builds, and delivers production AI systems with defined milestones, clear success metrics, and fixed timelines. Starts with a Discovery Sprint to validate feasibility, then moves to fixed-scope development with senior engineers accountable for post-launch outcomes. Targets industries including Financial Services, Insurance, Logistics & Transportation, Real Estate & Construction, and Private Equity.
- AI Agent Development (Agentic AI) Design, build, and deployment of autonomous AI agents that execute real workflows — including Document Intelligence Agents, Conversational AI Agents, Workflow Automation Agents, Research & Analysis Agents, Data & Sales Intelligence Agents, and Multi-Agent Systems. Ships with enterprise guardrails, audit trails, and MCP orchestration. Typical 6–12 week builds powered by the proprietary RTS Illuminate™ platform.
- Generative AI Consulting Consulting for generative AI implementation including readiness assessment, strategy development, use case discovery, model selection and development, AI integration, data synthesis, optimization, and governance. Applications include GenAI chatbots, Q&A systems, progress monitoring, hazard detection, and asset optimization for enterprise and mid-market clients.
- AI Integration Services Enterprise AI integration service that connects AI to existing CRM, ERP, data warehouse, document management, and communication systems through custom MCP server development. Delivers secure, real-time, audited AI access to Salesforce, SAP, Snowflake, SharePoint, internal APIs, and legacy databases simultaneously, with model-agnostic architecture that allows switching LLMs without rework. Focused integrations typically run 4–12 weeks with 1–2 week discovery sprint upfront.
- MCP Server Development Custom Model Context Protocol server development service that builds secure, real-time gateways connecting AI agents to enterprise tools, databases, and workflows. Enables AI agents to access Salesforce, SAP, Snowflake, SharePoint, internal APIs, and legacy databases simultaneously with permission boundaries, credential management, and immutable audit logs.
- Data Engineering End-to-end data engineering service including data architecture, DataOps, data governance, data fabric, data mesh, data lakes, lakehouse, delta tables, streaming applications, warehouses, ML engineering pipelines, and data strategy. Builds reliable, AI-ready data infrastructure for enterprise and mid-market clients.
- Data Science Data science consulting providing ML and AI-driven strategy, data science infrastructure and engineering, complex algorithm development, AI roadmaps, and team enablement. Specializes in operationalizing AI and scaling ML from prototype to production, including multivariate time-series forecasting, demand forecasting, risk assessment, and predictive maintenance solutions.
- Digital Transformation Services Digital transformation service including legacy system modernization, process automation, cloud-native integration, and organizational change management to streamline workflows for agility, scalability, and measurable growth.
- DevOps & Cloud DevOps consulting covering CI/CD pipeline development, infrastructure as code, containerization, Kubernetes orchestration, AI-driven DevOps, and DevSecOps. Accelerates software delivery, improves quality, and embeds security throughout the development lifecycle across AWS, Azure, and GCP environments.
- MVP to Enterprise Hardening Software and AI hardening service that takes working prototypes or MVPs and rebuilds foundations for enterprise deployment. Addresses security hardening, CI/CD automation, observability, test coverage, performance engineering, and AI-specific hardening including LLM evaluation, hallucination monitoring, and SOC 2 readiness. Includes 1–2 week technical audit sprint followed by 8–16 week full hardening engagements.
- Platform Services (Salesforce, Snowflake, AWS, Azure, MuleSoft) Custom software development on industry platforms including Salesforce (CRM automation), Snowflake (cloud data platform), AWS, Azure, and MuleSoft (integration). Builds tailored technology solutions for unique business needs across the firm's core platform partnerships.
Quantifiable outcome
- 3.1x more loans reviewed per day per officer
- +17 more outcomes
Companies that use RTS Labs
Customer profileNamed customers22 records
Segments9 records
Ideal customer profiles4 records
RTS Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration18 records
AI capability14 records
Feature7 records
RTS Labs partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core.
- Amazon Web Services (AWS)coreAWS partner delivering flexible, secure, and scalable cloud solutions. AWS-certified consultants help clients achieve business goals faster through comprehensive suite of computing, storage, databases, analytics, and machine learning services.
- Microsoft AzurecoreAzure partner with expert team leveraging Azure's comprehensive suite of services for scalable, secure, cloud-native solutions across industries. Microsoft Azure certified consultants.
- SalesforcecoreSalesforce consulting partner providing customized solutions that automate workflows, increase productivity, and drive customer engagement on the world's leading CRM platform.
- SnowflakecoreSnowflake expertise for building modern data architectures, implementing data warehousing solutions, and driving data-driven decision-making using Snowflake's efficient cloud data platform.
- KubernetescoreKubernetes consulting for container orchestration - from understanding containerized application concepts to automating pipelines on Kubernetes platform.
- Anthropic (MCP Protocol)coreMCP (Model Context Protocol) is an open standard backed by Anthropic that gives AI models secure, structured access to external tools and data sources. RTS Labs builds custom MCP servers for enterprise stacks.
- OpenAIcoreGPT-4/GPT-4o models used in AI agent development and LLM-based solutions. Part of model-agnostic approach allowing selection of best model per use case.
- DatabrickscoreDatabricks expertise for data lake, lakehouse solutions, and advanced analytics. Partner with extensive knowledge of Databricks for data platform implementations.
- LangGraph, CrewAI, AutoGencoreAI agent orchestration frameworks used for building multi-agent systems. RTS Labs selects appropriate framework per project requirements.
- Pinecone, Weaviate, ChromacoreVector databases used for RAG pipelines and persistent conversation memory in AI agent implementations.
Scale indicators24 records
Recent moves2 records
Expansion highlights6 records
RTS Labs competitors and assessment
Company assessmentDirect peers
- UST: Global digital transformation and AI services firm with strong data engineering and AI consulting practices; comparable on AI agent and integration delivery but at significantly larger scale.
- Tiger Analytics: AI and analytics consulting firm delivering data engineering, ML, and GenAI solutions to mid-market and enterprise clients — closely aligned with RTS Labs' applied AI delivery model and vertical depth.
- Absolutdata: AI/analytics services firm delivering data engineering, ML, and GenAI solutions to consumer goods and enterprise clients — comparable boutique applied-AI services model.
- Neal Analytics (Accenture): Microsoft-focused AI and data engineering consultancy (acquired by Accenture) with deep Azure, data platform, and applied AI delivery — direct functional overlap, though now operating at parent-scale economics.
- Slalom: Boutique-leaning tech and AI consulting firm with a strong mid-market enterprise motion, deep cloud and data partnerships, and similar 'local senior delivery' positioning. Most directly comparable peer in size, GTM, and vertical mix.
- Fractal Analytics: AI analytics and engineering services firm serving Fortune 500 clients across financial services, insurance, and retail — overlapping target verticals and delivery focus on production-grade AI systems.
Emerging players
- DataRobot: Enterprise AI platform with an embedded professional services arm that builds and deploys production ML/AI systems — partial overlap on delivery model, but primarily a product company competing for the same AI budget.
Broad incumbents
- Genpact: Large professional services firm with deep domain focus on financial services, insurance, and logistics — directly competes for AI consulting work in RTS Labs' primary verticals at a global scale.
- Accenture: Largest global systems integrator with a $3B+ AI practice and aggressive GenAI consulting motion — competes for the same enterprise AI strategy-to-deployment budgets, often as the incumbent on RFPs.
- Cognizant: Global IT services and consulting firm with large-scale AI, data, and digital transformation practices — competes for the same enterprise AI integration wallet from a scale and breadth advantage.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
RTS Labs social profiles
Digital presenceRTS Labs compliance and trust
Trust signalCompliance4 records
RTS Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
RTS Labs leadership team
Management profileNumber of profiles
Profiles1 record
RTS Labs funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
RTS Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about RTS Labs
What does RTS Labs do?
RTS Labs is a boutique applied AI consulting firm that designs, builds, and deploys production AI systems — including autonomous AI agents, RAG-powered chatbots, custom MCP (Model Context Protocol) servers, and enterprise data platforms — for mid-market and enterprise clients. Engagements are fixed-scope with defined deliverables, senior US-based engineering teams, and a 90-day ship timeline, spanning AI consulting, agentic AI development, generative AI, AI integration, data engineering, and enterprise software modernization across Financial Services, Insurance, Logistics, Real Estate, Private Equity, and other verticals.
Is RTS Labs a public or private company?
RTS Labs is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was RTS Labs founded?
RTS Labs was founded in 2010. It employs 11 to 50 people.
Where is RTS Labs based?
RTS Labs is headquartered in Glen Allen, United States, in the North America region.
How does RTS Labs make money?
Four revenue lines are on record. AI Consulting & Strategy Engagements are the primary driver. The others are agentic AI Development, AI Integration & MCP Server Development and MVP to Enterprise Hardening.
Who are RTS Labs's main competitors?
Direct peers on record are UST, Tiger Analytics, Absolutdata, Neal Analytics (Accenture), Slalom and Fractal Analytics. DataRobot is listed as an emerging player. Broad incumbents are Genpact, Accenture and Cognizant.
Does RTS Labs have an API?
No public API is recorded for RTS Labs.
What industry is RTS Labs in?
RTS Labs's product category is AI Consulting Services. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of BPAHAEAF, Data, Analytics & AI Consulting. Its NAICS code is 541511 and its SIC code is 7371.