Turn Activity and Data into Operational Intelligence
BIP helps organizations identify behavioral and operational patterns, improve situational awareness, automate selected monitoring activities, and support more informed operational decisions.
The Operational Challenge
Organizations generate more operational data and activity than teams can monitor manually. BIP helps identify relevant behavioral and operational patterns and events within approved use cases, so the right information reaches the right people at the right time.
How BIP Works
Capture
Receive approved video, device, system, or operational data from defined sources.
Analyze
Process configured events, patterns, conditions, and indicators relevant to the approved use case.
Detect
Identify events, anomalies, thresholds, or patterns requiring attention.
Alert
Deliver contextual alerts or insights to approved operational users and systems.
Review & Improve
Support human assessment, measure usefulness, and refine rules or models over time.
Core Capabilities
Behavioral Intelligence
Identify relevant patterns, events, and changes within approved operational use cases.
Computer Vision
Analyze video streams and images for defined objects, activities, events, and conditions.
Event Detection & Alerts
Notify approved users when configured conditions or thresholds are detected.
Operational Dashboards
Present operational KPIs, trends, and insights through dashboards and reports.
Predictive and Trend Analytics
Use available historical and operational data to support forecasting, risk indicators, and proactive planning.
Secure Data Integration
Connect relevant systems, devices, data sources, and workflows through secure integration patterns.
Approved Use-Case Areas
Use cases should be selected and validated individually. Potential areas include:
Potential Outcomes
Outcomes we aim to support. Actual results depend on scope, implementation, adoption, and data quality.
Responsible AI and Privacy Note
Any use involving people, personal data, biometric data, surveillance, profiling, emotion or behavior inference, or automated decisions must be assessed for legal basis, necessity, proportionality, privacy, security, accuracy, bias, human oversight, retention, access, transparency, and accountability before implementation.