# NeiroView Analytics Platform (NAP) Source: https://www.neiroview.com/ NAP is a Physical AI platform that connects video, operational data and physical devices through AI, visual rules, events and configured actions. ## Questions and answers ### What is NAP? NAP is NeiroView Analytics Platform, a Physical AI platform for connecting data, AI and operational actions. Use video and other data sources, configure visual rules, and connect the resulting events to teams, business systems and physical devices. ### How does NAP go beyond video analytics? NAP combines analysis with workflow logic and connected actions. A condition can create an event, notify a team or send a command to a lock, controller or indicator. It can work alongside an existing VMS; interfaces, permissions and custom integration work are defined for each deployment. ### Which sources and devices can we connect? NAP supports camera streams, video files, images and HTTP services. Sensor data and business systems connect through configured interfaces or custom integrations. Device actions can target locks, controllers and indicators through compatible services. We confirm formats, APIs, network access and permissions for your deployment. ### Do we need developers to build a workflow? Supported modules can be combined visually in Scenario Builder. New AI models, custom integrations, scripts or infrastructure work may require engineering. ### Where does our data stay? In an agreed edge, on-premises or private-cloud setup, data can remain in your infrastructure without being sent to NeiroView. Licensing, updates, support access and third-party connections are defined for the deployment. ### Can NAP connect to our systems? NAP exposes a REST API. For VMS, access control, ERP and other systems, we confirm the required data, actions, permissions and whether a connector or custom integration is needed. ### How do we validate a scenario? A pilot tests the scenario with representative inputs and site conditions. We agree detection, false-alert and response criteria before testing, then use the results to refine or expand the setup. ### What should we prepare? Describe the operational problem, the desired response, available data sources and connected systems. Share sensitive footage or access details only through an agreed secure process. ### Can we deliver NAP under our own brand? White-label and OEM options are defined by contract. We agree branding, licensing, component scope, updates and support around how you plan to deliver the solution. ### How are training and support arranged? Training covers the operators, administrators and integrators using the solution. The project plan defines handover, daily administration, support and further development responsibilities. ## From perception to action Bring data, AI and connected devices into the same operating logic. Define the conditions that matter and what should happen next. - **Perceive:** Connect video, images and data from HTTP services or configured integrations. - **Decide:** Combine AI outputs and operational context with visual rules: who, where, when and what happens next. - **Act:** Record an event, notify a team or send a command to a connected lock, controller or indicator. ## Inside NAP Configure dashboards, combine AI with operating rules, and manage events and connected actions. - **Custom dashboards:** Build multiple dashboards with different data sources and indicators. - **Visual policy builder:** Connect models, conditions and responses. - **AI model library:** Extend the platform with reusable AI services. - **Event investigation:** Find an event and review its evidence. - **Activity journal:** Review platform activity by time, user, operation and recorded data. ## Deployment Deploy NAP at the edge, on-premises or in a private cloud. Keep operational data in your infrastructure and define how your systems connect. Topology, capacity, licensing, updates and support access are defined for your deployment. ## Integrations See how a policy turns a detection into a door command, a cargo record or an incident response. Connect sensor data, business systems and VMS through configured interfaces. Link workflows to physical devices such as locks, controllers and status indicators. Interfaces, permissions and any custom integration work are scoped to your deployment. ## Featured cases ### Safe City — Coordinated security across 242 schools **80% shorter incident response time.** Site-specific threat alerts give operators the location and video evidence needed to coordinate a response. **Before:** Manual video review and incident coordination across schools. **After:** Site-specific threat alerts with location and video evidence. **Deployment scope:** 2,000+ live video streams; 242 schools. **Scenarios covered** - Kidnapping Detection - Fire & Smoke Detection - Perimeter Monitoring - Weapon Detection [Explore this case](https://www.neiroview.com/use-cases/safe-city) ### Shipyard Safety — Safety monitoring across 32 production sheds **Up to 90% faster response workflows.** PPE checks and work-zone monitoring connect safety violations to the team responsible, with visual evidence. **Before:** Routine visual safety checks and manual team coordination. **After:** Zone-specific monitoring with alerts routed to designated teams. **Deployment scope:** 500+ live video streams; 32 shipyard sheds. **Scenarios covered** - PPE Compliance - Fire & Smoke Detection - Worker & Vehicle Tracking - Restricted Zones [Explore this case](https://www.neiroview.com/use-cases/shipyard) ### Airport Baggage — Baggage protection from check-in to reclaim **>40% fewer baggage complaints after one year.** Baggage identity, handling events and footage give teams a connected record for incident investigations. **Before:** Reconstructing baggage incidents across separate handling stages. **After:** Baggage identity, handling events and footage in one incident record. **Deployment scope:** 200+ cameras; 5 baggage journey stages. **Scenarios covered** - Baggage Identification & Tracking - Damage & Opening Detection - Rough Handling Detection - Incident Alerts & Evidence [Explore this case](https://www.neiroview.com/use-cases/airports) Project results describe these completed deployments. Stream totals describe the deployment scale, not single-node processing capacity. ## MCP platform management Connect an AI assistant to inspect NAP state, prepare supported configuration changes and execute authorized operations through a configured management connection. Available tools and access scopes depend on the connected deployment. ## Company and contact NeiroView, Inc. is the United States company behind NAP. We work with enterprise teams and solution integrators to connect operational data, company policies and the systems that carry out the response. [Platform documentation](https://wiki.neiroview.com/). [About NeiroView](https://www.neiroview.com/about-us). [Discuss your scenario](https://www.neiroview.com/contact-us). The form prepares an email draft; it does not send a message from the website.