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RainFocus Tech Stack

Event marketing platform with real-time data and AI-driven personalization

Software Development Lehi, Utah 201–500 employees Privately Held

RainFocus operates an event marketing platform spanning registration, content management, exhibitor activation, and post-event analytics across in-person, virtual, and hybrid formats. The tech stack reveals a mature full-stack shop: React/Angular/Vue + JavaScript/TypeScript for frontend, Java + Salesforce APIs (Apex, Lightning) for backend integration, MySQL/Oracle for persistence, plus emerging AI surface area (RAG, LLM integrations, retrieval pipelines). Current hiring velocity is accelerating but skewed toward support (4 roles) over engineering (2), suggesting scaling post-sale operations and implementation complexity is the immediate bottleneck—a pattern reinforced by active projects around white-labeling, front-end scalability, and client implementation workflows.

Tech Stack 31 technologies

Core StackZoom Salesforce Postman Selenium Apex Java React Angular Vue RAG MySQL Oracle SQL Server Cursor Svelte JavaScript TypeScript Redux macOS Adobe Analytics Swagger Chrome k6 Salesforce Sales Cloud Service Cloud Lightning Web Components SOQL Web Components SASS I need a technology name to normalize, but you've only provided "Context" which appears to be a placeholder or incomplete input. Please provide the actual technology name you'd like me to normalize. For example: "MS Excel", "K8s", "PostgreSQL", etc+1 more

What RainFocus Is Building

Challenges

  • Ensuring project timelines
  • Ensuring successful event software implementation
  • Managing project scope and timelines
  • Resource constraints during implementation
  • Streamlining complex configuration tasks
  • Enabling personalized experiences
  • Reducing escalations
  • Ensuring timely resolution
  • Scaling front-end for enterprise clients
  • White-labeled theming solutions

Active Projects

  • Deploy rainfocus software
  • Pre-sales planning
  • Post-event reviews coordination
  • Ai agent platform
  • Llm integrations
  • Retrieval pipelines
  • Enterprise white labeling & theming
  • Scalable front-end architecture
  • Post-sale client implementations
  • Platform configuration best practices

Hiring Activity

Accelerating6 roles · 5 in 30d

Department

Support
4
Engineering
2

Seniority

Mid
3
Senior
2
Junior
1
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About RainFocus

RainFocus builds an event management platform that consolidates registration, content delivery, exhibitor management, and analytics into a single dashboard. The product integrates with Salesforce (Sales Cloud, Service Cloud) and Adobe Analytics to unify event data with sales and marketing workflows. Customers are mid-market event organizers and enterprises running conferences, trade shows, and virtual summits. The company operates at 201–500 employees, headquartered in Lehi, Utah, with hiring footprint in the United States and Philippines. Current engineering focus spans AI agent platforms, LLM integrations, retrieval-augmented generation, and front-end architectural scaling—pointing toward AI-powered attendee insights and white-label deployment.

HeadquartersLehi, Utah
Company Size201–500 employees
Hiring MarketsUnited States, Philippines

Frequently Asked Questions

What tech stack does RainFocus use?

Frontend: React, Angular, Vue, JavaScript, TypeScript, Redux, Svelte. Backend: Java, Salesforce (Apex, SOQL, Lightning Web Components), Postman/Swagger for API design. Data: MySQL, Oracle, SQL Server. Testing: Selenium, k6. Emerging: RAG, LLM integrations, retrieval pipelines.

What is RainFocus working on?

AI agent platform, LLM integrations, retrieval pipelines, enterprise white-labeling, scalable front-end architecture, post-sale client implementations, platform configuration automation, and personalization capabilities to reduce support escalations.

How this profile is built

RainFocus's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.