DevRev

What is DevRev?

DevRev serves as an AI-native business operating system tailored for SaaS organizations, aiming to harmonize the efforts of customer support, product development, and growth departments. It consolidates fragmented data into a cohesive knowledge graph, powering intuitive conversational AI, smart automation, and live analytics. The platform effectively links development and revenue cycles by directly channeling customer insights into the product roadmap, which speeds up time-to-market, minimizes inefficiencies, and boosts client happiness. Its comprehensive suite features adaptable CRM applications, AI-driven support solutions, and product development pipelines, all engineered to increase the pace of innovation and decrease customer turnover.

Key Features

Unified Knowledge Graph

Proprietary Airdrop technology aggregates and synthesizes data from various systems into a contextualized knowledge graph, establishing a consistent, reliable information foundation for all teams.

Conversational AI Interface

Intelligent chatbots and natural language search capabilities deliver immediate, precise information retrieval and automate standard customer service operations.

Integrated CRM and Workflow Apps

Built-in applications for support, product, and growth functions enhance teamwork through features like ticket handling, issue monitoring, and no-code workflow customization.

AI-Powered Support Automation

Chatbots enhanced by GPT technology manage initial support queries, reduce ticket volume via deflection, auto-generate tickets, and intelligently route cases to appropriate personnel.

Real-Time Analytics and Insights

Interactive dashboards and AI-based clustering detect patterns, eliminate duplicate tickets, and highlight user challenges to guide product strategy.

Seamless Integrations and Security

Offers native and adaptable connections with popular tools such as Jira and Slack, backed by SOC 2 Type 2 certification and comprehensive audit logs for security.

Use Cases

Customer Support Modernization: Automate common questions, decrease ticket influx, and equip support agents with AI-derived insights to enhance efficiency and customer happiness.

Product Development Collaboration: Directly link user feedback and support tickets to development processes for quicker problem-solving and informed feature planning.

Unified Data Access: Eliminate information silos by merging data from diverse platforms into a single, easily searchable environment available to every team.

Self-Service Customer Experience: Implement AI chatbots and tailored help portals to allow customers to independently find solutions and submit support requests.

Operational Analytics: Employ AI clustering and analytics to spot emerging trends, decrease redundant tickets, and refine team processes.