Unmatched drawer activity
- Drawer opened
- Hand entered drawer zone
- No corresponding POS cash event
AI-powered visual intelligence
SightGuard understands what happens in front of your cameras and connects it with the systems running your operation. It surfaces observable exceptions and preserves the evidence people need to investigate.
Today’s operations
Demo data shown for product illustration. It does not represent live customer activity.
One visual intelligence platform
SightGuard separates observation, context, risk, and human judgment so teams can understand why something was flagged and what evidence supports the review.
Transforms video and sensor inputs into structured physical events with timestamps, confidence, and model metadata.
Processes activity close to the source, supporting privacy, resilience, and future live camera connectivity.
Brings events, evidence, exceptions, investigations, rules, and audit history into one operational workspace.
Normalizes context from ERP, POS, WMS, access-control, sensors, and other systems without dependence on one vendor.
See. Understand. Verify. Protect.
Physical activity × digital records = verified business events. Business-system data makes SightGuard richer, but it is not required for SightGuard to understand physical events.
14:32:16Drawer openedHand entered drawer zone
14:32:14Cash paymentPKR 4,850
Physical activity corresponds with the expected business transaction.
15:07:42Drawer openedObject removed
15:07:42No transactionNo authorized cash movement
SightGuard creates an exception and preserves relevant evidence. A person makes the final determination.
First solution · SightGuard Retail
SightGuard Retail is initially focused on recorded retail video and business-system exports. Current early-access evaluation is narrower than the complete product direction shown below.
Review physical activity around tills alongside transaction records.
Explain stock movement across receiving, storage, transfer, and dispatch.
Initial work evaluates selected observable events using representative recorded footage and exported business data. Listed capabilities describe the product direction, not a claim that every workflow is production-ready.
Explainable investigations
SightGuard aligns camera observations, transactions, and system records on one evidence timeline. Reviewers see the signals, confidence, rule, and context behind an exception.
14:32:11POSOrder startedMatched14:32:14POSCash payment completedMatched14:32:16CameraDrawer openedTrigger14:32:18CameraHand entered drawer zoneObserved14:32:26SystemDrawer closedClosedSightGuard Edge
The target Edge architecture is designed to process continuous video locally, retain a rolling evidence buffer, and send relevant events plus selected evidence to SightGuard Cloud.
Works with your infrastructure
SightGuard is being designed for compatible existing IP cameras, NVRs, edge AI hardware, network infrastructure, sensors, access-control systems, and ERP, POS, or WMS platforms.
Compatibility categories such as Works with SightGuard, SightGuard Certified, and SightGuard Edge will follow tested integrations. No manufacturer is presented as certified before validation.
Responsible by design
SightGuard keeps perception separate from conclusions. Exceptions are starting points for review, not accusations.
Observable facts, source records, confidence, and the rule behind each exception remain visible.
The target Edge architecture limits unnecessary video movement and retains selected evidence according to configured policies.
Authorized investigators review evidence and record outcomes. Automated scores do not determine guilt or intent.
Start a conversation
Apply for Early Access, or request an assessment covering camera positioning, video quality, network architecture, systems integration, target use cases, and pilot feasibility.