Audience

AI product, engineering, and agent teams looking for a tool to analyze production conversations, detect silent failures, and continuously improve conversational AI

About Agnost AI

Agnost AI is a product analytics platform for conversational agents that helps teams catch silent failures before users leave. It reads every agent conversation alongside its traces to show where the agent fails, where users get frustrated, what they are asking for, and where churn begins. Thousands of chats are automatically clustered into recurring problems and intents, ranked by impact and linked back to the exact conversations and traces behind each pattern. It detects hallucinations, broken promises, quality issues, policy violations, compliance problems, rising friction, and situations where a technical trace may show success even though the user did not get a useful result. Instead of stopping at dashboards, Agnost identifies the highest-impact fixes and provides supporting evidence, recommended changes, and evals needed to ship improvements safely. It can also generate self-improvement suggestions and open pull requests against system prompts, agent harnesses, etc.

Pricing

Starting Price:
$49 per month
Free Version:
Free Version available.

Integrations

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Company Information

Agnost AI
United States
agnost.ai/

Videos and Screen Captures

Agnost AI Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Agnost AI Frequently Asked Questions

Q: What kinds of users and organization types does Agnost AI work with?
Q: What languages does Agnost AI support in their product?
Q: What kind of support options does Agnost AI offer?
Q: What other applications or services does Agnost AI integrate with?
Q: What type of training does Agnost AI provide?
Q: How much does Agnost AI cost?

Agnost AI Product Features

Product Analytics

Automatic Data Capture
Real-Time Data Analysis
User Segmentation
Attribution
Customer Journey Analytics
Touchpoint Analytics
Product Engagement Scoring
Data History Retention
Churn Reporting
Data Export
Data Labeling
Customer Feedback Collection
Customer Guidance