Flexible, Instant
Anomaly-Monitoring Tool
Fully Wireless Camera‑Linked,
Anomaly‑Detection AINEW
Visualize The
"Huh? Something's Different" Moment
Simply register normal images and the AI quantifies how different each captured image is.
Adding more normal images continuously improves quantification accuracy.
In sites where camera installation was difficult, the system quantifies differences from normal images, turning qualitative anomalies into quantitative data.
The Anomaly Score threshold is adjustable. The sample image(s) shown use a threshold of 50.
Detection of Leaks, Blockages, Intrusions, and Collapses
Tanks & piping
Detect leaks or anomalies (discoloration, foaming)
Drains
Detect clogs (debris, drain blockage, etc.)
Factory and facility entrances
Intrusion by animals, insects, or other unwanted elements
Warehouses and transport lines
Detect collapses, cracks, rust, etc.
LiLz Guard is
Intuitive and Easy for Anyone to Use
LiLz provides instant remote‑inspection solutions.
Offers cameras usable indoors/outdoors, day/night, even in explosion‑proof zones, with no power or network work required.
That's how we achieve true flexibility.
“LiLz Guard”, our differentiated anomaly-detection AI software.
All Inspection Work
in the Cloud
Adjust settings, tune AI, and handle daily or ad‑hoc analyses entirely via a remote dashboard.
Discover Anomalies You
Couldn't Notice Before
Alert notifications
exceed a threshold and an email is sent instantly.
API integrations available — connect with chat tools and audio / signal beacon (stack light) devices.
AI model training
register various normal images and let the AI improve while you inspect.
Recommended for Sites Like These
Unable to install cameras
IoT cameras specialized for inspections with no power or network modification
Battery powered with LTE, so they can go live the same day without modification. We flexibly support improvements across your maintenance workflows.
Stalled on AI adoption
All inspection operations are handled via a web browser
No complicated operations required. Recommended even if you previously shelved AI due to technical hurdles.
Costs were too high
In‑house developed cameras and software drastically cut time and cost
Developing both camera and software in‑house delivers seamless integration—no camera selection or AI development costs needed for LiLz Guard.
To Frontline Maintenance Professionals
To everyone working on the front lines of maintenance—thank you. Your daily efforts keep our communities safe and secure, and we are deeply grateful. At LiLz, we believe that in an era of aging facilities and a shrinking workforce, improving the efficiency of growing maintenance workloads—and giving technicians more breathing room in both mind and time—is essential to realizing the future, including concepts like Predictive Maintenance 4.0.
LiLz delivers IoT- and AI-powered solutions that streamline routine patrol inspections, with a relentless focus on ease of adoption so anyone can get started quickly. Our retrofittable Inspection IoT requires no electrical work, and our Inspection AI highlights early signs of anomalies with simple setup. These tools are designed for a wide range of scenarios: remote sites, large-scale inspection fleets, and inspections in explosion-hazard areas. We invite you to experience this simplicity for yourself.
— The LiLz Team
Supported Devices
Installable Anywhere—
No Wiring Required
Fully wireless IoT camera
LC-10
Read moreColor image | Approx. 3 years battery life with 3 shootings per day | IP65 | Lightweight 360g
Fully wireless explosion‑proof IoT camera
LC-EX10
Read moreHigh‑sensitivity color still‑image type | Approx. 3 years battery life with 3 shootings per day | Intrinsically safe explosion‑proof structure (EX ic IIC T6 Gc, Ex ic IIIC T85℃ Dc) | IP65
An anomaly-detection AI
anyone can use-Instantly
From system design to usability, we deliver a remote inspection solution unlike any other. We'd be happy to share details in a brief web meeting.
If you provide sample images you want detected or quantified, we can run a demo.
Fully Wireless Camera‑Linked,
Anomaly‑Detection AINEW
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