DevRev's Future-Ready Customer Support Software

SupportDevrev Support

Support users

Not tickets

Automate L1, assist L2, and elevate L3 customer support to become true collaborators with an AI-native modern Support CRM

Powering the next generation of technology companies

Enhance self-service with AI

Resolve user issues instantly, directly within your app.

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Automate the mundane, repetitive tasks

Focus on complex issues, let GenAI do the rest.

Overcome the limitations of traditional scrum. Experience a flexible and adaptable approach to sprints designed around your customer's voice

Troubleshoot and resolve with developers

Unite user chat and ticket management in one platform
Save time piecing together information from different systems
Lead with AI-recommended next best actions
Resolve instantly with similar tickets and knowledge article suggestions
Recreate issues instantly with user session replays
Capture full context about user issues without relying on vague descriptions
Search relevant information in natural language
Access information without shuffling tabs on a data object model that consolidates user and product data

Effortless support operations

Reduced overhead with data engineering, integrations, analytics, and AI engineering as a service

Create automations with simple natural language prompts

Move on from crafting intricate ‘box-and-arrow’ rules to creating automations using simple prompts

Route tickets with customizable workflows

Go beyond just priority and agent skill levels to assign the right ticket to the right person

Make engineering more responsive to support

Provide full context to product teams, get automatic stage change updates from Jira, and update users in real-time

Eliminate disjointed middleware and layers of complex integrations

Speed up information sharing and reporting by converging support, product and user data in one shared view

Support with product and L3/L4 engineering

Built-in product and support observability for incident management

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Track desired metrics with in-browser analytics

Drill down into support performance and contributing factors

Track desired metrics with in-browser analytics

Drill down into support performance and contributing factors

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Track desired metrics with in-browser analytics

Drill down into support performance and contributing factors

Track desired metrics with in-browser analytics

Drill down into support performance and contributing factors

I didn’t want to replace Zendesk and ServiceNow with just another ticketing system. DevRev tells me: ‘Why do I have this problem? Where is it coming from? When does it get triggered? What do we do to prevent it?’ That is an input to product and design.”

Vinod Muthukrishnan

Former COO,Uniphore

DevRev is the only customer support tool built for new age API-first companies.”

Kshitij Gupta

Co-Founder/CEO @ 100ms

We needed to set the foundation for support infrastructure. Everything out there (Zendesk, Hubspot, Salesforce) was way too clunky for what we needed. So I went with the tool that I think can grow with us.”

Surag Patel

Co-Founder @ Pixee

Create powerful integrations with all your favorite apps

WhatsApp, Slack, Email, and more

Get started for free

No credit card required

Book a demo

Start a live chat

Support users

Not tickets

Automate L1, assist L2, and elevate L3 customer support to become true collaborators with an AI-native modern Support CRM

Powering the next generation of technology companies

Enhance self-service with AI

Resolve user issues instantly, directly within your app.

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Say goodbye to chatbot builders

Automate resolution with an intent aware GPT-bot that is self-learning and requires no training

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Resolve at first contact with RAG

Scrape information from external sources to provide complete answers without human check-in

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Support pre-emptively before users face an issue

Reduce ticket volume and improve retention with in-app nudges that suggest fixes proactively

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Enable users to find answers on their own

Save time responding to FAQs with Semantic Search infused in the in-app chat and customer portal

Automate the mundane, repetitive tasks

Focus on complex issues, let GenAI do the rest.

Troubleshoot and resolve with developers

Unite user chat and ticket management in one platform

Save time piecing together information from different systems

Lead with AI-recommended next best actions

Resolve instantly with similar tickets and knowledge article suggestions

Recreate issues instantly with user session replays

Capture full context about user issues without relying on vague descriptions

Search relevant information in natural language

Access information without shuffling tabs on a data object model that consolidates user and product data

Effortless support operations

Reduced overhead with data engineering, integrations, analytics, and AI engineering as a service

Support with product and L3/L4 engineering

Built-in product and support observability for incident management

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Track desired metrics with in-browser analytics

Drill down into support performance and contributing factors

Track desired metrics with in-browser analytics

Drill down into support performance and contributing factors

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Pre-emptively identify widespread issues

Cluster similar tickets and identify patterns across emerging user issues

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Eliminate tool sprawl and fragmented data

Align support and product strategy by aggregating product, user and support data

Uncover insights faster with simple prompts

Instantly identify blocker tickets through natural language queries

Uncover insights faster with simple prompts