How does Osprey automate P&ID to PI AF builds?

Osprey uses computer vision AI to extract tags and equipment from P&ID PDFs or images. It then intelligently maps extracted instruments to existing PI tags and PI AF Attributes, validates data integrity before mapping, and generates production-ready PI AF models. This reduces manual transcription from 25 hours per 100 tags to 5 hours - an 80% time savings.

What is OT data lineage and why is it critical?

OT data traceability traces every data stream from field device through PLC, historian as such PI System, to final display. OT traceability overlaid with a complete audit trail lets engineers troubleshoot issues 76% faster by instantly seeing: what changed, when it changed, what broke downstream, and complete impact analysis before making changes. Critical for compliance, root cause analysis, and preventing cascading failures.

How does AI-powered document search help during production events?

During 2 AM alarms or production upsets, engineers need specific P&IDs, equipment manuals, or isolation drawings immediately. Osprey's semantic search understands natural language queries like 'show me heat exchanger HX-204 drawings' and returns relevant documents in under 30 seconds across 10,000+ files - 93% faster than manual folder navigation. This speeds emergency response and work package preparation by hours.

What industries benefit most from Osprey?

Osprey is purpose-built for process industries: Oil & Gas (upstream, midstream, downstream), Chemicals & Petrochemicals, Power Generation, Pharmaceuticals, Pulp & Paper, and Mining. Any facility with AVEVA PI System, complex P&IDs, and time-critical operations benefits from automated lineage, AF acceleration, and document intelligence.

The Modern Industrial Data Observability Platform

Modern OT Data Observability

Resilient data pipelines for your critical OT systems.

What is OT Data Observability?

Osprey AI

Ask anything

What caused this false alarm?

What change caused this data disruption?

Is this tag or derived tag used by any displays?

Where is this KPI coming from?

Always-on visibility into your OT data health. Meet OT Sentinel

Built for the challenges industrial teams face every day

Leak detection and process upsets

Determine whether alarms are due to faulty sensors or actual production events to minimize downtime.

Upgrades interrupting data collection

Track if issue was systemic or isolated and where data flows broke.

Osprey saves up to 180 hours per engineer/year

76%

Reduction in Mean Time to Resolution

Minutes

Mean time to detection. Down from weeks

Self‑service

Engineers answer their own questions without routing to support teams

Make Industrial data trustworthy

Safer and efficient operations

Built for the challenges industrial teams face every day

Osprey saves up to 180 hours per engineer/year

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