Vality · Connecting the dots
AI Reasoning Intelligence for the Security Sector.
Reasoning about behavior over time and in context — not just detecting objects in a frame. At the core of the Vality platform is context-aware temporal understanding: it reads what is happening as behavior unfolding over time, distinguishes genuine risk from routine activity, and turns weeks of investigation into minutes.
Scene understanding, not object detection
Conventional video analytics answers what is in the frame and where — a person here, a bag there — and re-answers that same question, frame after frame. A hand on a product, a hand pocketing a product, and a hand returning a product can look nearly identical to a detector. The difference is not in the objects. It is in the scene.
Object detection SEES
Isolated boxes · frame by frame · no memory
Knowing an object exists — and where it sits on screen — tells you almost nothing about what is actually happening.
Scene understanding COMPREHENDS
Actors · actions · interactions · before & after
The same moments, read as one sequence in context — and the one moment that matters is flagged.
objects → actions
From objects to actions
The platform doesn’t just locate items in the frame; it recognizes what people are doing with them — and why that matters.
frames → sequences
From frames to sequences
Powered by context-aware temporal understanding, events are read as sequences unfolding over seconds, minutes, or a full visit — capturing intent and cause-and-effect that frame-by-frame detection cannot see.
detection → context
From detection to context
Every observation is interpreted against its surroundings: location, role, transaction data, historical patterns, and the rules and procedures that define what “normal” looks like in that specific environment.
pixels → meaning
From pixels to meaning
Visual streams are fused with operational and transactional data into a single, coherent picture — signals that are meaningless in isolation become decisive together, and genuine risk is separated from routine activity, dramatically reducing false alarms.
Result — an AI platform that doesn’t just see the objects in a video. It understands the scene, in real time and at scale.
Deep coverage across two domains
Vality doesn’t stop at surface-level alerts. Because scene understanding grasps what is actually happening, the platform delivers a deep solution dive into two connected domains — going beyond detection to fully model, investigate, and resolve the scenarios that matter.
D·01Loss Prevention
A comprehensive dive into the full range of loss and fraud scenarios. The platform doesn’t just flag a suspicious moment — it reconstructs the complete event, correlates it with transaction and operational data, and assembles clear, court-admissible evidence.
- EMPLOYEE FRAUD · CUSTOMER THEFT
- CASH & MERCHANDISE LOSS
- SELF-CHECKOUT MANIPULATION
- WEIGHING & SCALE ABUSE
- WAREHOUSE / DC LOSS · TIME THEFT
D·02Security Through Operations Control
Much of what compromises security isn’t a dramatic incident — it’s the quiet erosion of standards. Vality treats operations control as security: continuously verifying that protocols, rules, and safety procedures are actually followed across every site, and surfacing the gaps conventional systems never catch.
- PROTOCOLS & SAFETY PROCEDURES VERIFIED
- GAPS · DEVIATIONS · NON-COMPLIANCE SURFACED
- OPERATIONAL DISCIPLINE ENFORCED AT SCALE
- EVERY SITE · EVERY DAY · OBJECTIVE BASELINE
The two domains reinforce each other: the same understanding of a scene that exposes theft also reveals the procedural breakdowns that make theft — and many other risks — possible in the first place.
Six solutions, one engine
Because scene understanding is a general capability rather than a single-purpose detector, one platform carries across the security, safety, and operational estate. In each solution the value is the same: understanding behavior in context, not just detecting objects in a frame.
S·01Retail loss prevention
Fraud and theft across POS lanes, self-checkout, weighing stations, and back-of-house — reducing shrink and producing defensible evidence.
FLAGSHIPVIEW SOLUTION ->S·02Facility & perimeter security
Distinguishing genuine intrusions, loitering, and unusual behavior from routine movement — cutting the false alarms that overwhelm motion- and object-based systems.
Escalate only what warrants attentionVIEW SOLUTION ->S·03Safety & incident response
Hazardous situations recognized as they unfold — slips and falls, restricted-area access, unsafe practices, crowding — so teams intervene early, not after harm is done.
Before harm, not after footageVIEW SOLUTION ->S·04Operational compliance
Opening and closing routines, cash-handling steps, safety checks, service protocols — verified continuously and automatically, not by occasional spot-check.
A constant, objective baselineVIEW SOLUTION ->S·05Crowd & public-space monitoring
Abnormal patterns and emerging risks in busy, dynamic environments — unusual flows, congestion, behavior that signals a developing problem before it becomes a crisis.
Patterns before crisesVIEW SOLUTION ->S·06Investigation & evidence
Hours or weeks of manual footage review compressed into minutes — relevant events located across large volumes of video and data, findings structured and defensible.
Ready for operational or legal useVIEW SOLUTION ->The same engine that catches fraud at a self-checkout can reason about behavior wherever context and timing determine what matters.
Run the instrument on your own floor
Noise in. Signal out.
Evidence in minutes.
See context-aware temporal understanding reason over your own lanes, cameras, and transaction data — and watch weeks of investigation collapse into minutes.
OR — TALK TO OUR TEAM ABOUT SECURE RETAIL, OPERATIONS CONTROL, OR A TAILORED SCENARIO.