Overview
Lexsis AI offers two powerful products that work together to give you complete visibility into your customer experience. This section provides an in-depth look at what each product does, how they work
Note on Terminology: Throughout this documentation, we use the terms "AI agent", "AI assistant", and "voice bot" interchangeably. They all refer to the same concept: autonomous AI systems that interact with users through conversation, whether text-based or voice-based..
Platform Overview
At its core, Lexsis AI solves a fundamental problem: how do you make sense of thousands of customer feedback items and conversations?
Traditional analytics tools track clicks, events, and metrics—but they can't understand the content and meaning of what customers are saying. Lexsis AI automatically:
Understands the intent behind feedback
Classifies and categorizes content
Identifies sentiment and emotions
Detects patterns and trends
Prioritizes what matters most
Our Products
Lexsis AI offers two complementary products that together provide complete visibility into your customer experience:
VOCx: Voice of Customer Analytics
VOCx transforms raw feedback from multiple sources into structured, actionable insights. It automatically processes feedback from app stores, email, support tickets, surveys, and social media to help you understand what customers are saying and prioritize improvements.
Who It's For:
Product managers prioritizing features and improvements
Customer experience teams tracking satisfaction and issues
Support teams managing feedback volume
Engineering teams focusing on high-impact bugs
Learn more about VOCx →
Cipher: Conversation Intelligence
Cipher provides analytics and UX intelligence for AI assistants. As organizations deploy AI copilots, support bots, and agentic workflows, Cipher helps you systematically improve how assistants interact with users.
Cipher analyzes conversations to answer three critical questions:
What are users actually telling your assistant?
How is your assistant behaving across different models, prompts, and configurations?
Which improvements will increase resolution rate, reduce frustration, and lower cost per ticket?
Who It's For:
AI/ML teams optimizing assistant performance
Product teams deploying in-product copilots
Customer support teams automating with bots
CX teams measuring assistant effectiveness
Learn more about Cipher →
Key Capabilities
Both products share powerful capabilities:
Automatic Analysis: Understands context and meaning in feedback and conversations
Intelligent Organization: Automatically groups related items and organizes by product structure
Multiple Data Sources: Connect app stores, email, support systems, and more
Real-Time Insights: See insights as they happen with trend analysis
Business Impact Metrics: Understand revenue and customer value impact
Natural Language Querying: Ask questions in plain English
How They Work Together
While VOCx and Cipher serve different purposes, they complement each other:
VOCx helps you understand what customers want and need from your product
Cipher helps you ensure your AI agents deliver those needs effectively
For example:
VOCx might identify that customers frequently ask about "refund policies" in feedback
Cipher can then analyze how well your AI agent handles refund-related conversations
Together, they help you both understand the need and optimize the solution
Why Lexsis AI?
Traditional Tools Are Limited
Existing analytics tools have gaps:
Click Analytics (Mixpanel, Amplitude): Can't interpret conversations
LLM Observability (Langfuse, Helicone): Tracks technical metrics but not user satisfaction
Support Tools (Intercom, Zendesk): Focus on agent workflows, not AI assistants
CRM Systems: Can't analyze unstructured feedback at scale
Lexsis AI Fills the Gap
Lexsis AI is the first platform that:
Understands the meaning and content of feedback and conversations
Provides analysis at scale
Connects feedback to business impact and customer value
Offers both VOC analysis and AI assistant optimization in one platform
Coming Soon: Framework Integrations
We're building integrations for various AI agent frameworks that combine observability with experience intelligence directly within Cipher. These integrations will provide:
Unified Observability + Experience Intelligence: Combine technical metrics (latency, tokens, errors) with user experience quality (frustration, resolution, satisfaction) in one place
Framework-Specific Integrations: Native integrations for popular AI agent frameworks
Seamless Setup: Easy integration with your existing observability stack
Real-Time Insights: Get experience intelligence alongside your technical observability data
Stay tuned for updates on framework integrations!
Next Steps
VOCx Guide - Deep dive into Voice of Customer Analytics
Cipher Guide - Deep dive into Conversation Intelligence
Product Comparison - Detailed comparison to help you choose
Ready to get started? Check out our Getting Started Guide!
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