classıe provides a platform for monitoring and supervising AI models in production, giving teams visibility into model performance, drift, and anomalies. It integrates with existing pipelines to surface real‑time metrics and alerts, enabling rapid detection of issues and ensuring reliable AI outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI models often lack continuous visibility into model behavior, making it difficult to detect performance drift, anomalies, or compliance violations in real time.
Solution
Classıe offers a monitoring platform that provides real‑time oversight of deployed AI systems. The service continuously tracks key performance metrics, detects outliers, and alerts operators when models deviate from expected parameters. Integrated dashboards allow teams to visualize model health, enforce governance policies, and take corrective actions promptly, helping maintain reliability and regulatory compliance across AI workloads.
Target Audience
Primary customers are enterprises and AI‑driven product teams that need to ensure continuous reliability and compliance of their machine‑learning models in production.
Features
- Real‑time metric collection and anomaly detection for active AI models
- Configurable alerts that trigger when predefined performance thresholds are breached
- Centralized dashboard displaying model health, drift trends, and compliance status
- API integrations for seamless connection with existing model deployment pipelines
- Role‑based access controls to manage monitoring permissions and audit trails