---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Omnilert"
developer_entity: "Omnilert, LLC"
bundle_id: "com.omnilert.omnilert"
app_store_id: "1472552124"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-05-05"
report_date: "2026-05-14"
last_verified: "2026-05-14T20:39:36.544Z"
report_version: "3.0.0"
total_reviews: 48
overall_rating: 3.31
sentiment: "Mixed"
sentiment_score: 50
confidence: "medium"
confidence_score: 0.7
review_sample_size: 48
data_age_days: 7
momentum_velocity: "maintenance"
intelligence_version: 3
competitor_count: 6
tags: ["utilities", "paid", "mixed sentiment", "mobile app", "app review", "app analysis", "safety", "administrators", "security"]
canonical_url: "https://marlvel.ai/intel-report/utilities/omnilert"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Omnilert App Audit

## TL;DR {#tldr}

- **Category**: Utilities · Paid
- **Signal**: Rating 3.31 · Sentiment Mixed

> **TL;DR:** Omnilert is a utilities app by Omnilert, LLC, rated 3.31/5 by 48 users, with Mixed user sentiment (50/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Omnilert has Mixed user sentiment with a 3.31/5 rating from 48 reviews.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 3.31/5 (48 reviews) |
| **User Mood** | Mixed |
| **Category** | Utilities |
| **Developer** | Omnilert, LLC |
| **Pricing** | Paid |
| **Platforms** | iOS & Android |
| **Confidence** | Medium (0.7/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Omnilert, LLC
- **Category:** Utilities
- **Target Audience:** Safety administrators and security teams at schools, hospitals, government facilities, and large commercial enterprises.
- **Platforms:** iOS & Android
- **Version Audited:** 3.0.0
- **Audit Date:** 2026-05-14
- **Signal Count:** 48 reviews analyzed
- **Confidence:** Medium (0.7/1.0)
- **App Store ID (iOS):** 1472552124
- **Bundle ID:** com.omnilert.omnilert
- **Google Play ID:** com.omnilert.omnilert
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-05-14

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Omnilert is a safety notification and emergency response app for organizations, providing AI-powered threat detection and communication tools on iOS and Android.
**Why users hire it:** Organizations hire Omnilert to manage high-stakes safety protocols and incident response, replacing fragmented communication with a centralized, AI-verified alert system.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI Gun Detection:** Visual AI identifies firearms in real-time via existing security camera feeds
  * *User Intent:* Users prioritize data protection and trust in the platform.
- **[Differentiator] Automated Emergency Response:** Triggers pre-defined actions like locking doors, sounding alarms, and notifying authorities upon threat verification
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
- **[Standard] Subscriber Panic Button:** In-app button for users to call for help or report safety issues
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Omnilert occupies the enterprise safety utility segment, where it competes against specialized dispatch and access control systems. The lack of a consumer-facing pricing tier anchors it firmly in the B2B institutional market.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Paid
- **Tiers:** Enterprise-based licensing via direct contact
- **Analysis:** B2B SaaS model focused on institutional contracts, with pricing determined by organization scale and integration requirements.

<!-- section:sentiment -->
## 🟡 User Sentiment (Medium Confidence: 48 reviews) {#user-sentiment}
- **Overall Rating:** 3.31/5
- **Platform Split:** iOS 4.0/5 (12 ratings) | Android 3.1/5 (36 ratings)
- **Overall Sentiment:** Mixed

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- AI Gun Detection differentiator secures institutional contracts
- Automated response triggers create high switching costs

**Critical Frictions:**
- 0.92★ Android-iOS rating gap indicates technical debt
- Manual access code onboarding creates high churn

**Growth Levers:**
- Education partnerships offer untapped B2B distribution
- Wearable integration extends safety monitoring reach

**Market Threats:**
- Intergraph I/CAD integration provides superior real-time data
- VIS-Mobile ERP integration threatens B2B authentication space

<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The report reflects a strategic pivot toward enterprise-grade integration and physical access control, moving away from direct comparison with consumer-focused safety apps.

**Overall trend**: Mixed
**Compared at**: 2026-05-14

### High-impact changes
- **[Shifted] Competitive Landscape Re-alignment** (positioning) — The competitor set shifted from consumer-facing safety apps (Rave, Noonlight) to industrial and physical access control systems (Johnson Controls, dormakaba, Intergraph).
- **[Shifted] Sentiment and Volume Update** (sentiment) — Overall sentiment moved from 'terrible' to 'mixed' with review volume increasing from 15 to 48.

### Medium-impact changes
- **[Shifted] Threat Landscape Update** (swot) — Threats shifted from notification-based competitors to ERP and dispatch integration risks (Intergraph I/CAD, VIS-Mobile).
- **[Added] Technical Debt Visibility** (swot) — Weaknesses now explicitly quantify the Android-iOS rating gap at 0.92★.

<!-- section:whats-new -->
## What's New

- **Latest (v3.0.0, 1 weeks ago):** Introduced configurable message lookback windows, a refreshed chat UI, and account-aware feature visibility.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

- Maintains enterprise-focused feature cadence.
- Prioritizes AI-driven security updates.

> **Cadence:** 2 total versions · 1 majors in last 6 months · 9 days since last update · 5 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Omnilert is an established utilities app that is a paid app.
With a 3.31/5 rating from 48 reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** Omnilert holds a strong position in institutional safety through AI-verified threat detection, but its manual onboarding friction limits subscriber adoption, so the PM should prioritize SSO integration to reduce administrative overhead.
<!-- speakable-end -->

**Best for:** Safety administrators and security teams at schools, hospitals, government facilities, and large commercial enterprises.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] [HIGH IMPACT] Rebuild onboarding flow to replace manual codes with SSO because manual setup is the top friction point → increase subscriber adoption — *User complaints regarding access code setup indicate a significant barrier to entry.* _(trade-off: deprioritize Push the wearable companion app sprint to Q3 — wearable demand is lower than onboarding friction.)_
- [ ] [MAINTAIN] [MEDIUM IMPACT] Audit Android build stability because the 0.92★ rating gap signals platform-specific regressions → restore institutional trust — *The rating delta between iOS and Android suggests inconsistent performance on the latter.* _(trade-off: deprioritize Pause new feature development on the subscriber portal — platform parity is a prerequisite for enterprise reliability.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Real-time dispatch data integration (available in Intergraph Mobile Responder RN but absent here)
- Native BLE/NFC physical access control (available in dormakaba mobile access but absent here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Stable

The enterprise safety market is shifting toward integrated dispatch and physical access control, placing pressure on notification-only platforms. Omnilert remains advantaged by its AI detection capabilities, but must close the platform-parity gap to prevent churn to more integrated rivals.

- 🟢 Continued investment in AI Gun Detection maintains the app's unique value proposition against general notification competitors.
- 🔴 The persistent Android-iOS rating gap suggests technical debt that could erode institutional trust if left unaddressed.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 3.31/5 |
| Total Reviews | 48 |
| Sentiment | Mixed (50/100) |
| Confidence | Medium |
| Pricing Model | Paid |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Omnilert** (this app) | 3.31/5 | Mixed | Omnilert, LLC |
| [GoTemp Pro](https://marlvel.ai/intel-report/productivity/gotemp-pro) | 3.4/5 | N/A | Johnson Controls, Inc. |
| [Switchyard for Railway](https://marlvel.ai/intel-report/developer-tools/switchyard-for-railway) | N/A/5 | N/A | Traduko AB |
| [VIS-Mobile](https://marlvel.ai/intel-report/utilities/vis-mobile) | N/A/5 | N/A | I-Soft GmbH |
| [Equipment Mobile](https://marlvel.ai/intel-report/business/equipment-mobile) | 3.0/5 | N/A | John Deere |
| [Intergraph Mobile Responder RN](https://marlvel.ai/intel-report/business/intergraph-mobile-responder-rn) | 1.3/5 | Frustrated | Intergraph Corporation |

## Company Profile
- **Developer:** Omnilert, LLC
- **Website:** [https://omnilert.com](https://omnilert.com)
- **Social:** [Facebook](https://www.facebook.com/Omnilert) · [X/Twitter](https://twitter.com/omnilert) · [YouTube](https://www.youtube.com/user/omnilert) · [LinkedIn](https://www.linkedin.com/in/davidgfraser)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/omnilert/id1472552124?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.omnilert.omnilert&hl=en&gl=us)
- **Dev Site:** [Official Website](https://omnilert.com)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
- [*GoTemp Pro*](https://marlvel.ai/intel-report/productivity/gotemp-pro) (Johnson Controls, Inc.) — 3.4/5 Rating | N/A Sentiment
- [*Switchyard for Railway*](https://marlvel.ai/intel-report/developer-tools/switchyard-for-railway) (Traduko AB) — N/A Rating | N/A Sentiment
- [*VIS-Mobile*](https://marlvel.ai/intel-report/utilities/vis-mobile) (I-Soft GmbH) — N/A Rating | N/A Sentiment
- [*Equipment Mobile*](https://marlvel.ai/intel-report/business/equipment-mobile) (John Deere) — 3.0/5 Rating | N/A Sentiment
- [*Intergraph Mobile Responder RN*](https://marlvel.ai/intel-report/business/intergraph-mobile-responder-rn) (Intergraph Corporation) — 1.3/5 Rating | Negative Sentiment
- [*dormakaba mobile access*](https://marlvel.ai/intel-report/lifestyle/dormakaba-mobile-access) (dormakaba Schweiz AG) — 2.2/5 Rating | Negative Sentiment
- [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.5/5 Rating | N/A Sentiment
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.3/5 Rating | Mixed Sentiment
- [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | N/A Sentiment
- [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | Negative Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting.
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.7/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 48
- **Data Sources:** user reviews, developer website, company about page, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 0 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/utilities/omnilert)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.