About Nicholas Iadeluca
Nicholas Iadeluca is the Founder & CEO of ThreatLens AI™ Inc., a company focused on turning existing security cameras into real-time crime and threat detection systems. He leads the development of behavior-aware vision AI that looks beyond objects and pixels—analyzing how people move, interact, and react to surface risk before it becomes an incident.
Nicholas works at the intersection of security operations, corrections, law enforcement, retail security, schools, hospitals, airports, and other soft targets. By pairing camera-based behavioral analysis with how officers, staff, and administrators actually respond on the ground, he designs systems that reduce violence, protect people, and create clean, time-stamped evidence that holds up for investigations and reporting.
Alongside ThreatLens AI™, Nicholas is deeply involved with one of the largest alarm monitoring central stations in the United States. That experience shapes his focus on reliability, low-noise alerting, and 24/7 mission-critical environments. His background in asset management and investing adds disciplined thinking around ROI, capital planning, and scaling—from pilot programs to multi-site and multi-agency rollouts.
Security Operations
Central-station and monitoring experience: high-uptime systems, low false-alarm rates, and alert flows that officers, dispatchers, and security teams actually trust.
Behavioral & Vision AI
Focus on behavior, body language, and micro-expressions—not just object labels—so cameras can signal risk, not just record it.
Corrections & Law Enforcement
Designed for housing units, yards, intake, lobbies, and perimeters—supporting officer safety and early warning in high-risk environments.
Asset Management & Investing
Analytical rigor for fundraising and capital allocation—aligning product roadmap and deployments with measurable financial and safety outcomes.
Retail, Schools & Healthcare
Work with loss-prevention leaders, school safety teams, and hospital security to detect organized crime, aggression, and high-risk behavior in public-facing spaces.
Responsible AI
Privacy-by-design principles: minimum necessary data, secure handling, transparent operation, and auditable decisions across the AI lifecycle.
Where ThreatLens AI™ Is Used
- Jails & Prisons: housing units, pods, yards, corridors, intake and booking— detecting group-ups, aggression cues, contraband drops, and pre-assault behavior.
- Retail & Big-Box: entries and exits, self-checkout, high-theft aisles, returns and service desks—spotting ORC patterns, grab-and-run, and refund abuse.
- Schools & Campuses: entrances, hallways, cafeterias, common areas, and events— identifying loitering, stalking, crowd surges, and early indicators of fights or targeted aggression.
- Hospitals & Clinics: lobbies, waiting rooms, nurse stations, and entrances— monitoring agitation, escalating behavior, and crowding that can lead to incidents against staff or patients.
- Airports & Transit Hubs: check-in areas, gates, platforms, and concourses— spotting abnormal movement patterns, group dynamics, and suspicious behavior in soft-target settings.
How ThreatLens AI™ Works
- Uses Existing Cameras: connects to current IP cameras and VMS—no rip-and-replace.
- Behavior & Micro-Expressions: analyzes motion, posture, group dynamics, and subtle facial cues in real time.
- Real-Time Alerts: sends short clips with camera location and context to the people who can act—officers, LP teams, SOC operators, school or hospital security.
- Pilot, Tune, Scale: start with a focused pilot in one facility or region, tune thresholds and behaviors, then roll out using data, not guesswork.
Exploring real-time crime and threat detection for your facility—using the cameras you already have? Nicholas is actively partnering with corrections, law enforcement, retail security, schools, hospitals, airports, and other soft targets on pilots and deployments.