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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Agnost AI serves as a comprehensive analytics tool for conversational agents, enabling teams to identify silent failures that may drive users away before they even realize it. By analyzing each conversation and its associated data, the platform highlights areas where the agent underperforms, user frustration occurs, inquiries are made, and points of potential churn emerge. It organizes thousands of interactions into identifiable issues and objectives, prioritizing them by their impact and connecting them to the specific conversations and data that reveal these trends. The system is adept at identifying hallucinations, unmet promises, quality concerns, policy breaches, compliance issues, increasing user friction, and instances where technical data suggests success despite a lack of satisfactory user outcomes. Rather than merely providing dashboards, Agnost AI focuses on pinpointing the most significant fixes, offering supporting evidence, suggesting necessary modifications, and outlining evaluations required to implement improvements effectively. Additionally, it can produce self-improvement recommendations and initiate pull requests for modifications to system prompts, agent interfaces, and more, ensuring continuous enhancement of conversational experiences. Through these capabilities, Agnost AI empowers teams to transform insights into actionable strategies that enhance user satisfaction and retention.

Description

Kayba empowers AI agents to enhance their performance through experiential learning. By analyzing execution traces, it identifies and rectifies failures while assessing the effectiveness of these corrections. Rather than depending on generic evaluations that fail to clarify the reasons behind an agent's shortcomings, Kayba utilizes the agent's unique traces to identify failure modes and create tailored benchmarks relevant to the user's specific context, enabling teams to gauge improvements against authentic production failure patterns. With a simple one-line setup, Kayba integrates tracing into the agent, continuously monitors its performance, and promptly alerts users when any step ceases to be recorded. Since even effective tracing can degrade as teams implement changes, Kayba actively reviews existing tracing, highlights any broken elements, identifies the specific file requiring attention, and relays the issue to a coding agent via MCP. This coding agent then addresses the problem, after which Kayba confirms that the trace is fully functional again, ensuring ongoing reliability and performance enhancement. Ultimately, this process allows teams to maintain high standards of operational continuity while fostering continual improvement in their AI systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

BannerBuzz
CardBoard
Corgi
Exa
Google Cloud Platform
Lindy
Model Context Protocol (MCP)
Orchid
Supermemory

Integrations

BannerBuzz
CardBoard
Corgi
Exa
Google Cloud Platform
Lindy
Model Context Protocol (MCP)
Orchid
Supermemory

Pricing Details

$49 per month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Agnost AI

Country

United States

Website

agnost.ai/

Vendor Details

Company Name

Kayba

Founded

2025

Country

United States

Website

kayba.ai/

Product Features

Product Analytics

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

Product Features

Alternatives

Alternatives