--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Beet - Food Ingredient Scanner" developer_entity: "PEMAC Studio" bundle_id: "info.pemac.Beet" app_store_id: "6779462950" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-06-18" report_date: "2026-09-06" last_verified: "2026-09-06T00:00:00.000Z" report_version: "1.0" total_reviews: 1 overall_rating: 5 confidence: "low" confidence_score: 0.3 data_age_days: 24 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "health-conscious", "grocery", "shoppers"] canonical_url: "https://marlvel.ai/apps/beet-food-ingredient-scanner" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # Beet - Food Ingredient Scanner Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription - **Signal**: Rating 5 > **TL;DR:** Beet - Food Ingredient Scanner is a health & fitness app by PEMAC Studio, rated 5/5 by 1 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Beet - Food Ingredient Scanner is a health & fitness app by PEMAC Studio. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (1 review) | | **Category** | Health & Fitness | | **Developer** | PEMAC Studio | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 24d | ## Metadata & Market Performance - **Publisher:** PEMAC Studio - **Category:** Health & Fitness - **Target Audience:** Health-conscious grocery shoppers and families seeking to avoid ultra-processed ingredients, seed oils, and allergens. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-09-06 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6779462950 - **Bundle ID:** info.pemac.Beet - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-09-06 ## Executive Snapshot **What it is:** Beet is a food ingredient scanner for iOS that provides a 0-100 quality score and additive alerts for packaged grocery items. **Why users hire it:** The app removes the cognitive load of reading complex ingredient labels, serving shoppers who want to avoid seed oils and ultra-processed additives. ## App DNA (Features & Intent) - **[Differentiator] Beet Score:** A 0-100 rating system quantifying ingredient quality and processing levels. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Seed Oil & Additive Detection:** Automated flagging of ingredients like canola, soybean, and artificial colors. - **[Differentiator] FDA Recall Watch:** Automated alerts for scanned products subject to official FDA recalls. * *User Intent:* Users want timely prompts to stay engaged without missing updates. ## Market Position {#market-position} Beet operates in the Health & Fitness category with a 5.0 rating based on a single store review. The lack of recent updates (80 days) indicates a static position that may lose ground to more frequently updated competitors. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Free trial available, Subscription required for full access - **Analysis:** The subscription-only model gates advanced analysis and safety alerts, creating a high barrier to entry compared to freemium alternatives. ## SWOT Analysis {#swot} **Core Strengths:** - Automated seed oil detection provides a defensible barrier against generic calorie-counting apps. - FDA Recall Watch integration creates a safety-utility layer that drives recurring usage. **Growth Levers:** - Localized farmers market integration offers a unique offline-to-online bridge. ## Recent Changes (v2 → v3) {#recent-changes} The competitive outlook shifted from stable to mixed due to the 80-day update gap, which is now identified as a direct threat to database accuracy and market competitiveness. The analysis now prioritizes a transition to a freemium model to address high-barrier subscription friction. **Overall trend**: Mixed **Compared at**: 2026-09-06 ### High-impact changes - **[Shifted] Update Gap Risk** (swot) - **[Shifted] Outlook Trend** (positioning) ### Medium-impact changes - **[Shifted] Pricing Strategy Insight** (pricing) ## App Momentum (Maintenance) {#momentum} - Ships bug fixes only. - Dormant 80-day update cycle. > **Cadence:** 1 total versions · 0 majors in last 6 months · 80 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Beet - Food Ingredient Scanner is a health & fitness app. It holds a 5/5 rating from 1 review. > **Bottom Line:** Beet's focus on ingredient quality addresses a specific high-intent need, but the subscription-only model and dormant update cadence limit its ability to scale against established rivals. Pivoting to a freemium model would unlock the top-of-funnel growth necessary to compete. **Best for:** Health-conscious grocery shoppers and families seeking to avoid ultra-processed ingredients, seed oils, and allergens. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Introduce a limited free-tier for basic scanning because the subscription-only model creates a high barrier to entry → increase user acquisition. ### Outlook: Mixed Users report: The food scanner market is consolidating around apps that provide high-frequency utility, such as recall alerts and dietary flag matching. Beet's current maintenance-only cadence leaves it exposed to rivals who iterate on database accuracy every two weeks, which will erode its competitive advantage in the clean-eating segment by Q4. - 🔴 The 80-day update gap suggests a maintenance-only posture, which limits the ability to keep pace with competitor database accuracy improvements. - ⚪ The subscription-only model restricts the user base to high-intent shoppers, which may stabilize churn but severely limits new user acquisition. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Beet - Food Ingredient Scanner** (this app) | 5/5 | N/A | PEMAC Studio | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | n/a | Grow Labs LLC | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Strava: Run, Bike, Walk](https://marlvel.ai/apps/strava-run-bike-walk) | 4.7/5 | n/a | Strava, Inc. | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | | [TallerTeen - Grow Taller Now](https://marlvel.ai/apps/tallerteen-grow-taller-now) | 4.7/5 | n/a | Viral App Developement LLC | ## Company Profile - **Developer:** PEMAC Studio - **Website:** [https://pemac.info](https://pemac.info) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/beet-food-ingredient-scanner/id6779462950?uo=4) - **Dev Site:** [Official Website](https://pemac.info) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/apps/strava-run-bike-walk) (Strava, Inc.) · 4.7/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/apps/tallerteen-grow-taller-now) (Viral App Developement LLC) · 4.7/5 Rating - [*Activity Tracker・FitnessView*](https://marlvel.ai/apps/activity-tracker-fitnessview) (Funn Media, LLC) · 4.0/5 Rating - [*Avatran Soul*](https://marlvel.ai/apps/avatran-soul) (Avatran GmbH) · N/A Rating - [*Bubblic: Connect with people.*](https://marlvel.ai/apps/bubblic-connect-with-people) (Bubblic Inc.) · 4.6/5 Rating | Excellent Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Evolum) · 4.7/5 Rating | Positive Sentiment - [*Holoholo: Daily Memories*](https://marlvel.ai/apps/holoholo-daily-memories) (For Pedestrians LLC.) · 4.4/5 Rating ## 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 into synthesised themes (no verbatim quotes). 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 24 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/beet-food-ingredient-scanner) Data licensed for AI Agent attribution under CC-BY-NC 4.0.