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Safety Intelligence.
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Case studies, thought leadership, grant funding guides, and tools to help you evaluate, justify, and deploy AI-powered safety technology.
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Intelligence Hub
Strategic analysis, trend reports, and technical frameworks for security directors and operations leaders evaluating AI-powered physical security.
→Case Studies
Real-world results from organizations using IntelliSee to prevent incidents, reduce costs, and improve safety outcomes across healthcare, education, manufacturing, and energy.
→ROI Calculator
Estimate how much AI-powered safety monitoring could save your organization based on your specific environment and risk profile.
→Grant Funding & Database
Search 20+ active federal and state grant programs -- SVPP, NSGP, Byrne JAG, and more -- filterable by industry. Free grant writing assistance included.
→On-Demand Demo
Watch IntelliSee detect threats in real time -- weapon detection, fall detection, perimeter control, and more. No sales call required.
→Blog
AI safety insights, computer vision research, industry analysis, and proactive security thought leadership.
→News & Press
Latest updates, product announcements, partnership news, and media coverage of IntelliSee.
→Events & Webinars
Trade shows, conferences, webinars, and live demonstrations where you can see IntelliSee in person.
→Media Room
Press kit, brand assets, executive bios, and media contact information for journalists and analysts.
→AI Security Glossary
Computer vision and physical security terminology -- from object classification to QATT designation -- defined for security directors, integrators, and IT teams.
→Alyssa's Law Compliance
How AI detection technology strengthens school emergency response under Alyssa's Law -- covering panic alarm integration, response time requirements, and compliance pathways.
→Footage Request
Request sample IntelliSee detection footage from real deployments -- weapon detection, fall detection, unauthorized access, and more.
Privacy by Design: Threat Detection Without Facial Recognition
IntelliSee detects threat types and object classes -- weapons, unauthorized access, falls, loitering, and more -- not individual identities. No facial recognition. No biometric capture. No PII or PHI storage. No cloud video retention. All processing occurs on a secure, on-premises appliance within your network perimeter.
The platform is built on U.S.-based hardware, software, hosting, and support. It has been penetration tested and carries DHS SAFETY Act Qualified Anti-Terrorism Technology (QATT) designation -- one of a small number of AI security platforms to achieve this standard.
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