Lexius
Product & Competitive Intelligence
Detects shoplifting in real time from existing CCTV using privacy-first behavioral analytics.
Company Overview
Builds a real-time, privacy-first shoplifting detection platform that turns existing retail CCTV systems into intelligent behavioral analytics engines using advanced computer vision and ML.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
Lexius has publicly demonstrated real-time shoplifting detection integrated with existing CCTV infrastructure, privacy-first behavioral analytics that ignore personal characteristics (skin color, gender, clothing), mobile staff alerting, and searchable video incident traceback. Presented at Slush 2023. Early retail pilots with 7-Eleven, Erewhon, and Prada.
Signals & Private Analysis
Founder activity hints at expansion beyond shoplifting into broader retail analytics (customer flow, planogram compliance), counter-terrorism, crowd control, and port monitoring. Investment in edge inference optimization and on-device ML to reduce latency. Likely a hybrid human+AI escalation model for complex security incidents.
Product Roadmap Priorities
Real-time behavioral shoplifting detection via existing CCTV using computer vision to identify concealment, loitering, and suspicious movement patterns and alert staff within seconds.
It watches how people move on security cameras and instantly tells store staff when someone's probably stealing—without needing any new cameras or equipment.
It's like having a loss prevention officer with perfect attention who never blinks, never profiles, and works every aisle simultaneously—except it's software running on cameras you already own.
Searchable video intelligence that transforms months of raw CCTV footage into a queryable knowledge base for loss prevention investigations and operational insights.
Instead of scrubbing through weeks of security footage to find a theft, you just type what you're looking for and the AI finds it instantly.
It's like Google Search, but for your security cameras—type what happened and it finds the exact moment across thousands of hours of footage.
Privacy-preserving behavioral profiling that builds anonymous movement pattern models to predict high-risk theft scenarios before they escalate, enabling proactive staff positioning and store layout optimization.
It learns the invisible patterns of how shoplifters behave differently from regular customers—so stores can put staff in the right place before anything happens.
It's like Waze for shoplifting—it learns where and when the traffic jams of theft happen so you can reroute your staff before the gridlock starts.
Company Overview
Key Team Members
- David Elskamp, Co-Founder & CEO
- Liam Webster, Co-Founder & CTO
Founder Force Multiplier
Lexius combines Google-trained ML expertise with a privacy-first behavioral recognition approach that works on existing cameras, eliminating hardware costs and bias concerns simultaneously, giving them a deployment speed and trust advantage no competitor can easily replicate.
Funding History
- 2022 | David Elskamp and Liam Webster co-found Lexius.
- 2023 | Presents at Slush Helsinki.
- 2025 | Early retail pilots (7-Eleven, Erewhon, Prada).
- 2026 | Accepted into Y Combinator W26 batch.
- 2026 | Angel round from Virtual Network (amount undisclosed).
Competitors
- Traditional Loss Prevention: Sensormatic (Johnson Controls), Checkpoint Systems, InVue (Hardware-based EAS).
- AI Video Analytics: Deep Sentinel, Dragonfruit AI, Verkada (Smart cameras + cloud).
- Retail-Specific AI: Everseen (AI visual recognition for self-checkout fraud), StopLift (checkout analytics), Veesion (gesture detection for theft).
- Broader CV Platforms: Ambient.ai (security intelligence), Spot AI (video intelligence for operations).
