Govern your AI Agents Unpredictability 

Datagusto is the governance layer that prevents AI agent failures through root cause analysis and adaptive guardrails, turning unpredictable behaviors into controlled outcomes before they reach your customers.

No Credit or Debit Card Required

Analyse Root Cause

Instantly Pinpoint Failures—Debug in Minutes, Not Days. Ready for Scale from Day One.
  

Visualizes and analyzes the causes and mechanisms when failures or unexpected behaviors occur

Identifies when, at which step, and for what reason bugs or malfunctions (e.g., data leaks, hallucinations) occurred, and clarifies countermeasures to be taken in the next step

Prescribe Solutions

Turn Identified Issues into Actionable Guardrails— without LLM expert.

Tiered Response Strategy :
Delivers tailored recommendations across emergency (minutes), short-term (hours/days), and long-term (weeks) timelines based on incident severity and impact

Actionable Remediation Options :
Offers specific solutions from prompt rollbacks and configuration adjustments to custom guardrail implementation and compliance-aligned prompt engineering

Guardrail Recommendations:
Suggests specific, customized guardrails based on root cause analysis results and patterns identified across historical incidents

Govern

One-Click Governance for Real-Time AI Agents Control.

Seamless Integration :
Incorporates governance measures (guardrails and management rules) directly into your systems with continuous monitoring in production

Real-Time Behavior Control :
Transforms AI agents from "unpredictable states" to "controlled states" through real-time monitoring and intervention

Multi-Agent Governance :
Applies consistent rules and guardrails across multiple AI agents with one-click configuration, ensuring uniform governance at scale

Integrates with your favorite Agent Framework

Start for free

Free

$0

Per Month

200API Call

1 User

Standard

$99

Per Month

20000 API Call

5 User

Please ask us anything about AI Agent and Data

Smith willson

Mao Parr

Smith willson

Tatsuya Nakamura, Ph.D

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