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Unified Intelligence Engine - UIE
InsightFinder Unified Intelligence Engine (UIE) platform leverages our advanced AI to seamlessly integrate and analyze diverse data sources, delivering actionable insights for optimal decision-making.
Our platform expertly integrates with leading observability solutions and open source monitoring tools, ensuring a comprehensive and versatile approach to achieving AI-driven self-healing and self-optimizing.
Summary of InsightFinder AI's quarterly product release updates.
Manage your AI models to detect and prevent model drift, ensure accuracy, and deliver performance.
Precise anomaly detection with threshold-less alerts, root cause analysis, incident prediction, and automated remediation to ensure continued service delivery.
AI-driven Model Observability – Manage your AI models to detect
and prevent drift, ensure accuracy, and deliver performance.
Data scientists, data engineers, ML engineers, AI platform engineers, and Chief AI Officers need to deliver and run new LLM and ML models operating in production environments.
InsightFinder’s proven approach to AI Observability ensures AI model integrity – protecting against model drift, identifying hallucinations, and monitoring both model data and supporting infrastructure to ensure performance and reliability.
By applying unsupervised machine learning with proven, patented algorithms for anomaly detection, root cause analysis, and incident prediction, AI Observability helps ensure high performance for companies deploying AI and LLM models at enterprise scale.
Detect and prevent drift through dynamic baseline learning, unsupervised neural network based anomaly detection and root cause analysis. Monitor model behavior and take preventative actions to avoid model drift.
Identify and remediate LLM model “hallucinations” that create false information and potential costs and liabilities. Use unsupervised machine learning with custom and pre-configured evaluations to ensure accuracy of model results.
Full visibility into all the elements of performance – the models themselves, the infrastructure (GPUs and underlying infrastructure), and the end-to-end traces of each individual request to ensure high AI service availability and performance.
Model Workbench for deep dive anomaly investigation and root cause analysis. Compare models, view LLM traces and LLM prompts with anomalies.
We are currently taking on new members for our AI Observability Beta product program. Contact Us to learn more!
“The Inq-ITS community has grown 800% in 2020 to help students and teachers learn science together outside of the classroom. To focus our time on innovation, we needed a way to support our infrastructure without hiring a large DevOps team. InsightFinder was the answer.”
Take InsightFinder for a no-obligation test drive. We’ll provide you with a detailed report on your outages to uncover what could have been prevented.