Achieve Trustworthy AI with
Contextual Explainability & Observability

Add a new dimension to your AI explainability stack with customisable and flexible attribute monitoring in operational enterprise AI/ML models.

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PROUD TO WORK AND ENGAGE WITH:

Improve AI Reliability and Identify Bias

Monitor (Every)-Anything
You Want

Turn anything into an observable attribute in your production AI systems and monitor its influence on AI outputs over time. Choose Palqee prisma to identify attributes relevant to your use case or set them yourself.

Observe Behavioural Change and its Causes

Identify tendencies of unwanted behavior early and understand their causes in GenAI and ML models. Contextualize your observed attributes for a socio-technical analysis and ensure performance across different environments.

Compare Attribute Influence across Model Versions, Accounts, Locations and More

Create monitoring 'expeditions' and define their scope. Compare the impact of subtle attributes, like language proficiency, across different locations, accounts, and versions of your AI.

Risk Monitoring and Real-time Alerts

Gain instant visibility into your AI system's performance. Receive timely alerts and notifications, allowing you to take immediate action and mitigate any risks.

Predictive

Non-Compliance

Identify and fix issues with your AI systems before they cause problems, lowering your risk and increasing stability.

Customize it with

Prisma's API

Integrate our observability platform with your AI stack for fast implementation or customise Palqee prisma with your own solution for a fully tailored approach.

Comprehensive Data Analysis and Reporting

Gain valuable insights into your AI systems' behaviour with our advanced data analysis techniques. Track performance trends and leverage these insights for compliance reporting and decision-making processes.