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
