echoloc

CallRail Tech Stack

AI-powered lead engagement platform for multi-channel marketing attribution

Software Development Atlanta, GA 201–500 employees Founded 2011 Privately Held

CallRail operates a lead engagement platform serving over 220,000 businesses through call, text, chat, and form attribution. The tech stack reveals a mature, conversation-first architecture: Gong and Outreach for sales engagement, Salesforce for CRM integration, Looker for analytics, plus native iOS/Android clients built in Swift and Kotlin. Hiring velocity is accelerating across product, design, and engineering—balanced with sales and ops roles—while projects center on conversation intelligence and deploying AI as a scaling lever. Pain points around actionable insights and pipeline hygiene align with their pivot toward extracting signal from customer interactions.

Tech Stack 34 technologies

Core StackSalesforce Looker Gong Figma Ruby Ruby on Rails Angular JavaScript TypeScript Redis Kubernetes Swift SwiftUI Kotlin Firebase Jira Confluence FullStory Outreach Sidekiq RSpec Aurora AWS EKS iOS Android Xcode Android Studio Firebase Cloud Messaging APNS Pendo+4 more

What CallRail Is Building

Challenges

  • Operational pain points
  • Lack of actionable insights from customer conversations
  • Identifying at-risk accounts
  • Pipeline hygiene
  • Capturing upsell opportunities
  • Modernizing smbs with ai
  • Migration from legacy patterns
  • Standardization of ui components
  • Consolidation of redundant patterns
  • Improving ai support accuracy

Active Projects

  • Conversation intelligence product suite
  • Deploy ai as a team force multiplier
  • Shape go-to-market strategy for your segment
  • Collaborate with marketing on retention campaigns
  • Back to base motion
  • Voice assist demand
  • Component development and maintenance
  • Documentation and guidance
  • Ai prototyping workflows
  • Knowledge base governance model

Hiring Activity

Accelerating8 roles · 6 in 30d

Department

Sales
2
Design
1
Engineering
1
Marketing
1
Ops
1
Product
1
Support
1

Seniority

Senior
4
Manager
2
Mid
2
Company intelligence

Find more companies like CallRail by tech stack, pain points and active projects

Get started free

About CallRail

CallRail is a lead engagement platform built for service businesses, agencies, and SMBs that rely on phone, text, and web channels to capture and convert leads. The product spans three functional areas: multi-channel lead capture and routing, conversation intelligence (call recording, transcription, and AI-driven insights), and marketing attribution that ties each interaction back to the original campaign. With 220,000+ active accounts, the company operates as a primarily U.S.-focused business headquartered in Atlanta. Their go-to-market strategy emphasizes both direct sales and SMB self-service adoption.

HeadquartersAtlanta, GA
Company Size201–500 employees
Founded2011
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does CallRail use?

CallRail's core stack includes Salesforce and Outreach for CRM and sales engagement, Looker for analytics and reporting, Gong for conversation intelligence, Ruby on Rails for backend services, Angular and JavaScript for web frontends, Swift/Kotlin for iOS/Android, AWS EKS for infrastructure, and Kubernetes for orchestration.

What is CallRail working on?

Recent projects include expanding their conversation intelligence product suite, deploying AI as a team force multiplier for lead handling, defining go-to-market strategy by customer segment, improving AI support accuracy, and modernizing SMB workflows—alongside internal work on component standardization and documentation.

How this profile is built

CallRail'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.