Tycho Data’s Osprey platform provides real‑time observability for industrial OT data, using AI to detect sensor anomalies, broken data flows, and classify alerts. It delivers automated data lineage, quality metrics, and self‑service analytics so engineers can quickly identify and resolve issues, reducing downtime and improving operational safety.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial operations rely on continuous streams of operational technology (OT) data, but sensor faults, data pipeline interruptions, and poor data quality can cause undetected leaks, process upsets, and costly downtime. Without reliable observability, engineers must manually investigate issues, leading to long mean time to detection and resolution.
Solution
Tycho Data offers the Osprey platform, an industrial data observability solution that monitors OT data streams in real time and validates sensor readings against expected patterns. The system builds resilient data pipelines that automatically detect anomalies such as sensor drift, stale tags, or broken data flows, and classifies whether alerts stem from equipment faults or genuine process events. AI‑driven alerts and self‑service analytics surface issues instantly, enabling engineers to investigate and remediate problems without routing to support teams. By providing end‑to‑end data lineage, quality metrics, and automated root‑cause insights, Osprey helps industrial teams maintain trustworthy data, reduce mean time to detection, and improve safety and efficiency of operations.
Target Audience
Primary customers are OT engineers, reliability teams, and plant managers in manufacturing, energy, and process industries who need reliable, real‑time data for monitoring and decision‑making.
Features
- Real‑time monitoring and validation of OT sensor data with AI‑based anomaly detection
- Resilient data pipelines that automatically identify and isolate broken data flows during system upgrades
- Self‑service analytics dashboard allowing engineers to query and visualize data quality metrics without support tickets
- Automated classification of alerts to distinguish sensor faults from genuine process upsets
- Integration with PI System, PI AF, and other OT platforms for seamless data lineage and governance
- Alerting and reporting APIs that feed into existing incident‑management workflows