Smarter AI Starts with Smarter Evaluation

Get real time visibility into every interaction with built-in AI performance evaluation. Detect issues early, measure accuracy and efficiency, and resolve problems fast so your AI stays on track.

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EVALUATE

Understand Your Models Before They Go Live

Get a complete view of your AI performance from the start. Synoptix lets you evaluate data and models early, generating clear model cards and AI performance evaluation reports with a single command.

Learn more about Custom Agent

Understand Your Models Before They Go Live

TEST

Deploy with Confidence

Run structured checks at every stage of the workflow including data ingestion, model scoring, and CI/CD. Catch incorrect inputs, unexpected values, or quality issues before they reach production. Ensure every release meets your AI evaluation standards.

Learn more about Reasoning Agent

MONITOR

Track AI Performance in Real Time

Gain continuous visibility into model and data health across all production systems. Detect drifts, shifts, and unexpected behaviour before they affect outcomes. Synoptix helps you maintain consistent AI performance.

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DEBUG

Find and Fix Issues Faster

StartUse intuitive summaries and visual reports to isolate issues by feature or timeframe. Speed up root cause analysis and improve models where it counts. Synoptix makes AI performance evaluation practical and actionable.

Learn more about Agent Library

Actionable AI Monitoring for Enterprise Performance

AI performance evaluation shouldn’t be a black box. Track, measure, and optimize key insights in real time to ensure every response is fast, accurate, and aligned with expectations.

•Query Count: Track the total number of processed requests in real time. Gain visibility into AI workload and system efficiency.

•Response Time: Measure how fast AI processes and delivers responses. Identify and eliminate latency issues for seamless AI performance.

•User Feedback: Monitor approval and rejection rates from real users. Understand AI effectiveness and refine outputs for better engagement.

•Accuracy Score: valuate how well AI-generated responses align with expectations. Ensure precision, relevance, and reliability in every interaction with ongoing AI evaluation.

AI performance evaluation shouldn’t be a black box. Track, measure, and optimize key insights in real time to ensure every response is fast, accurate, and aligned with expectations.

•Query Count: Track the total number of processed requests in real time. Gain visibility into AI workload and system efficiency.

•Response Time: Measure how fast AI processes and delivers responses. Identify and eliminate latency issues for seamless AI performance.

•User Feedback: Monitor approval and rejection rates from real users. Understand AI effectiveness and refine outputs for better engagement.

•Accuracy Score: valuate how well AI-generated responses align with expectations. Ensure precision, relevance, and reliability in every interaction with ongoing AI evaluation.

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