
CENTEGIX is a campus safety platform built around wearable panic badges. Staff carry a device throughout the facility, press it when they recognize a threat, and the system responds through a proprietary wireless network, activating strobes, intercoms, and alerts across the building. It's a well-deployed system with a proven track record. It also has a structural limitation that no hardware upgrade fixes: detection still depends on a human. Someone has to see the threat first.
That limitation is what drives most districts to evaluate CENTEGIX alternatives. Some are looking for a better version of the same model: lower per-badge cost, stronger coverage, or a system that runs on smartphones rather than proprietary hardware. Others want to move detection upstream entirely, using AI on existing IP cameras to identify firearms, unauthorized access, or other threats automatically before anyone in the building reacts. And some districts have a different exposure point altogether: the entry door, not the hallway.
This guide covers all three approaches, compares the leading platforms in each category, and explains which situations each one actually fits.
The platforms in this guide fall into four distinct categories of campus safety platform.
Wearable Staff Panic Buttons — the category CENTEGIX belongs to. Staff wear a device, press it when they recognize a threat, and the system triggers a response. Other vendors in this category, such as Rave Mobile Safety and CrisisGo, differ from CENTEGIX primarily in network architecture, app-based deployment options, and pricing structure. The tradeoff that doesn't change regardless of vendor: detection still depends on a human.
AI Camera-Based Threat Detection — platforms in this category run computer vision on existing IP camera feeds to detect visible threats automatically, without waiting for someone to press a button. For districts that already have a modern IP camera infrastructure, platforms like Coram and IntelliSee can deliver faster response outcomes without adding new hardware or a parallel proprietary network.
Mass Entry Weapons Screening — a different exposure point entirely: the moment someone enters a building, before they reach staff or students. Evolv Technology uses sensor arrays at entry points to flag concealed weapons without requiring individuals to stop or empty their pockets. It doesn't replace an in-building response system, but it moves the detection window earlier in the threat timeline than any camera or wearable system can.
Mobile App Panic Buttons — the lightest-weight category in terms of infrastructure. Staff use an app on existing smartphones to trigger alerts to administrators, staff, or law enforcement. Deployment is fast and hardware costs are minimal. The limitation is the same as wearables: someone has to recognize the threat and act, and response depends on staff having their phone accessible at the moment it matters.
Every platform on this list solves a different part of the threat timeline. This table shows where each one sits on detection model, infrastructure requirements, and operational fit before the detailed entries.
Each entry below covers what the platform does, where it fits, and what to weigh before committing to it.

Coram is an AI-native physical security platform that runs on existing IP cameras with no proprietary hardware and no new network required.
That's the most important thing to understand before evaluating it against CENTEGIX. Where CENTEGIX requires deploying badges, gateways, strobes, and a private wireless network across every campus, Coram connects to the IP cameras already mounted on your walls and adds AI detection on top. A Coram Point device at each site processes video locally, analyzing every frame in real time without sending footage to the cloud for analysis. Once a threat is detected, the Emergency Management System sends alerts across the organization immediately from the same platform.
The detection scope goes well beyond what a wearable system covers. Gun detection, unauthorized access, slip-and-fall, smoke, fire, overcrowding, and collision risk all run through the same cameras and the same platform. And because detection is camera-based rather than badge-based, the response workflow starts automatically. It doesn't wait for someone in the room to recognize the threat and react.
For districts that already have IP camera infrastructure deployed across campuses, Coram adds a meaningful detection capability without the per-badge, per-staff recurring cost that scales with headcount.
Best for: K-12 districts and multi-campus school systems with existing IP cameras that want to automate threat detection without deploying new hardware or a parallel proprietary network.
Strengths:
Limitations:
Pricing: Quote-based.

ZeroEyes is an AI-powered visual gun detection platform that layers onto existing IP cameras to identify brandished firearms in real time. After detection, images route immediately to the ZeroEyes Operations Center (ZOC), where former military and law enforcement personnel verify the threat before dispatching alerts to onsite staff and 911 dispatch (typically within 3 to 5 seconds of detection).
The human verification step is the defining characteristic of the platform. Every alert is reviewed before anything fires, which reduces false positives and adds a layer of accountability that fully automated systems don't provide. ZeroLink allows the platform to operate fully off-network, making it usable in portable classrooms, athletic facilities, and other locations with inconsistent connectivity.
Where ZeroEyes diverges from CENTEGIX most sharply is on detection timing: a wearable badge requires a staff member to recognize a drawn weapon and press a button; ZeroEyes detects the weapon at the camera level and routes a verified alert to dispatch before anyone in the building has necessarily registered what happened. The tradeoff is scope. ZeroEyes is narrowly focused on visible firearms. Concealed or holstered weapons, unauthorized access, environmental hazards, and other threat types sit outside the detection window.
Best for: Higher education, healthcare facilities, government campuses, corporate environments, and districts whose primary board-level mandate is active shooter prevention with human-verified alerts before any response triggers.
Strengths:
Limitations:
Pricing: Per-camera, quote-based. A camera assessment is required to submit a pricing request.

Omnilert is an AI gun detection and emergency response platform that integrates with existing VMS, access control, and SOC infrastructure rather than replacing it.
The platform trains its AI on real-world footage rather than synthetic datasets, which the company attributes to lower false positive rates. It holds a DHS SAFETY Act designation covering both gun detection and emergency response workflows, which can carry weight for districts navigating liability discussions or insurance requirements.
Like ZeroEyes, Omnilert moves detection earlier in the threat timeline than any staff-initiated system. Unlike ZeroEyes, it routes alerts automatically rather than through a human verification layer, and its integration with access control and VMS systems allows it to trigger lockdown responses directly alongside emergency notifications. The tradeoff is the same as ZeroEyes: the platform is heavily optimized around visible firearm detection. Camera placement, coverage quality, and line-of-sight visibility determine how much of the campus it can actually protect.
Best for: Healthcare systems and public sector organizations with modern IP camera infrastructure that want automated gun detection without deploying wearable panic hardware or rebuilding their existing security stack.
Strengths:
Limitations:
Pricing: Quote-based.

Rave Mobile Safety is an emergency communication and coordination platform focused on mass notification, real-time collaboration, and multi-agency response during crisis events. It spans schools, universities, hospitals, corporations, and public safety agencies, covering emergency alerts, incident collaboration, business continuity communication, and operational notifications.
Rave sits in a different part of the threat response workflow than most platforms on this list. It doesn't detect threats. It coordinates response once a threat has been identified. That makes it most useful for districts with established detection infrastructure that need to improve how notifications reach staff, how administrators coordinate during an incident, and how multiple agencies communicate in real time. The platform's multi-agency coordination workflows connect school staff, administrators, emergency responders, and 911 teams inside the same incident communication environment, which is where it does its best work.
The limitation relative to CENTEGIX is structural: Rave still depends on someone reporting or recognizing the threat before emergency workflows begin. It improves response coordination, not detection timing. For smaller districts, the platform's module depth can also create more configuration complexity than a single-purpose tool requires.
Best for: Universities, healthcare systems, and public sector organizations with established security infrastructure that need stronger emergency communication and coordination across multiple teams and agencies.
Strengths:
Limitations:
Pricing: Quote-based. Final cost depends on district size, user count, communication volume, and the specific modules deployed.

CrisisGo is a school and business safety platform built around communication, coordination, and response across every phase of an emergency. On the hardware side, it offers ECHO, a wearable panic badge, and CrisisGo Connect, a cross-agency coordination layer that bridges schools with PSAPs, police, fire, and EMS on a shared real-time platform.
The defining feature is CrisisGo Connect's ability to send geo-targeted alerts across connected schools in a specific area without relying on separate communication chains. For multi-campus districts, this means first responders can receive location-specific alerts that span schools without needing to coordinate through multiple systems. The platform also supports student reunification and accountability workflows after an incident, which few other platforms in this category address.
CrisisGo is explicitly infrastructure-agnostic on the detection side. It can integrate with CENTEGIX, Rave, and AI camera platforms rather than replacing them. That makes it most useful as a coordination and lifecycle management layer rather than a detection-to-response replacement. Districts evaluating it as a direct CENTEGIX alternative should note that CrisisGo doesn't offer native AI camera-based threat detection; integration with camera platforms requires a third-party AI security partner.
Best for: K-12 school districts and multi-campus organizations that need cross-agency coordination and a full emergency management lifecycle platform spanning preparedness through post-incident recovery.
Strengths:
Limitations:
Pricing: Custom, quote-based.

IntelliSee is an AI-powered computer vision platform that runs multiple threat detection models on existing IP cameras through a single secure 1U on-premises appliance. Verified alerts route in under five seconds through existing notification infrastructure: mass notification, PA lockdown, or directly to 911 via RapidSOS, configured at the zone level with custom escalation paths per facility.
The platform's breadth distinguishes it from narrowly focused gun-detection tools. Gun detection, unauthorized access, behavioral anomalies, and other threat types all run through the same appliance and the same alert infrastructure. New detection capabilities deploy automatically without requiring new hardware or reinstallation. All video processing stays inside the local network perimeter, which supports districts with stricter student privacy and data governance requirements. The platform also supports Alyssa's Law compliance directly.
Relative to CENTEGIX, IntelliSee represents a full shift in the detection model: camera-based and automatic rather than wearable and staff-initiated. The setup requires an on-premises appliance and zone-level configuration, which adds more initial overhead than plugging in a cloud-native platform. For districts whose threat profile extends beyond firearms, IntelliSee's multi-detection approach covers more of the campus safety picture than ZeroEyes or Omnilert.
Best for: K-12 and higher education, healthcare, senior living, manufacturing, and municipalities that need multi-threat detection across existing cameras with strong privacy controls and Alyssa's Law compliance.
Strengths:
Limitations:
Pricing: Quoted based on camera count and the specific detection types required.

Evolv Technology is a weapons-screening platform that uses sensor arrays at building entrances to detect concealed weapons before people enter, without stopping individuals or requiring bag checks. It integrates with access control, VMS, and mass notification systems through an open API, and is currently deployed across more than 1,500 school buildings in the US.
The operational profile is defined by throughput: Evolv can screen up to 1,000 people in 15 minutes, making it suited for school arrivals, athletic events, and assemblies where individually screening every person would create bottlenecks. When a threat is detected, the platform identifies the exact location on the body, which reduces manual searches and improves consistency during secondary screening.
Evolv doesn't replace an in-building response system. Once someone is inside the facility, a separate detection or response layer is still required. The platform also carries a notable disclosure: in 2024, Evolv settled FTC allegations related to K-12 marketing claims and updated its marketing practices, which some districts may need to consider as part of the evaluation.
Best for: Stadiums and arenas, athletic events, houses of worship, college campuses, and healthcare facilities where high-volume entry screening is the primary security exposure.
Strengths:
Limitations:
Pricing: Quote-based.
Start with your infrastructure and your threat profile: those two factors narrow the field faster than any feature comparison.
If your district already has modern IP camera infrastructure deployed across campuses, the most direct path to automated detection is Coram or IntelliSee. Coram covers the broadest threat range with a fully automated detection-to-response workflow. IntelliSee is the stronger fit if privacy controls and on-premises processing are requirements, or if Alyssa's Law compliance is a factor in your state.
If your district has a board-level mandate specifically around active shooter prevention and wants human-verified alerts before any response fires, ZeroEyes is the most purpose-built option. For the same mandate without the human verification layer, Omnilert's integration depth with existing VMS and access control infrastructure makes it worth evaluating.
If your district has a board-level requirement for staff-worn hardware, CrisisGo is the most flexible option. It runs off existing smartphones rather than proprietary badges, which reduces hardware cost and simplifies rollout. It also integrates with existing systems rather than replacing them.
If your district's biggest exposure is high-volume entry points (athletic events, school arrivals, assemblies), Evolv addresses a different threat window than every other platform on this list. It doesn't replace an in-building response system, but it moves detection earlier than any camera or wearable can.
The structural limitation of any staff-initiated system — badge, app, or wearable — is that detection depends on a human recognizing the threat and acting before the situation escalates. That's not a criticism of CENTEGIX specifically. It's the defining constraint of the entire category.
The more useful question for most districts is what detection model actually fits the infrastructure and threat profile you're working with. If IP cameras are already deployed across your campuses, AI-native platforms like Coram can add automatic detection and emergency response without new hardware or recurring per-badge costs. If the primary board mandate is entry-point security, Evolv addresses a window that cameras and wearables don't reach. If the mandate is improved coordination rather than earlier detection, CrisisGo or Rave may be the right fit alongside whatever detection system you already run.
No single platform on this list is the right answer for every district. The right one depends on where your current infrastructure ends and where your threat timeline actually starts.
CENTEGIX is a campus safety platform built around wearable panic badges that staff carry throughout a facility. When a staff member recognizes a threat, they press the badge, which triggers a response through a proprietary wireless network — activating strobes, intercoms, and alerting administrators and law enforcement. The platform is designed to speed up staff-initiated response and is deployed across thousands of school buildings, healthcare facilities, and enterprise campuses in the US.
The most common reasons are ongoing badge costs tied to staff headcount, the overhead of maintaining a separate proprietary wireless network across campuses, and the recognition that the detection workflow still depends on someone seeing the threat and pressing the badge first. For districts that have built out IP camera infrastructure in the meantime, the question becomes whether a camera-based system can deliver comparable or faster response outcomes without the per-badge recurring cost.
It depends on the state. The law has passed in more than a dozen states and every version has different requirements. Utah requires wearable devices and live video feeds; Texas requires silent panic alert technology in every classroom; New York encourages but doesn't mandate silent panic alarms. Several AI camera platforms, including IntelliSee, support compliance through direct 911 dispatch integrations, but confirm your specific deployment against your state's statutory language before treating any platform's compliance claim as settled.
Yes. Coram handles automated threat detection on existing cameras, while CENTEGIX provides a staff-initiated response layer through wearable badges. Running both in parallel extends coverage in both directions: camera-based detection before someone presses a badge, and badge-initiated response for staff who identify a threat the cameras haven't flagged.
Camera-based pricing scales with infrastructure coverage; wearable systems scale with headcount. For larger districts, badge replacement, staff turnover, expansion, and recurring licensing costs tend to compound over time. A district with 500 staff members pays per badge per year regardless of how many cameras the system could cover with the same infrastructure investment.
No. Coram is designed to run on existing IP camera infrastructure and integrate with the VMS and security systems already deployed across campuses.
CENTEGIX deployment can run from a few hours for a single school to several weeks for a large district, because badges, gateways, strobes, and the private wireless network all need to be configured and installed across campuses. Coram deploys considerably faster. It connects to IP cameras and existing security infrastructure already in place, so deployment is primarily a software and network configuration process rather than a hardware rollout.

