---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Sage - Food Health Scanner"
developer_entity: "Felipe Miranda Policarpo de Assis"
bundle_id: "com.fmx.sage"
app_store_id: "6785295946"
category: "Health & Fitness"
primary_platform: "ios"
primary_monetization: "Subscription"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-08-27"
report_date: "2026-09-12"
last_verified: "2026-09-12T00:00:00.000Z"
report_version: "1.0.2"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 18
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "health-conscious", "grocery", "shoppers"]
canonical_url: "https://marlvel.ai/apps/sage-food-health-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.

---

# Sage - Food Health Scanner Intelligence Report

## TL;DR {#tldr}

- **Category**: Health & Fitness · Subscription

> **TL;DR:** Sage - Food Health Scanner is a health & fitness app by Felipe Miranda Policarpo de Assis, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Sage - Food Health Scanner is a health & fitness app by Felipe Miranda Policarpo de Assis.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Health & Fitness |
| **Developer** | Felipe Miranda Policarpo de Assis |
| **Pricing** | Subscription |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 18d |

## Metadata & Market Performance
- **Publisher:** Felipe Miranda Policarpo de Assis
- **Category:** Health & Fitness
- **Target Audience:** Health-conscious grocery shoppers and parents who want to monitor ingredient quality and ultra-processed food intake.
- **Platforms:** iOS
- **Version Reviewed:** 1.0.2
- **Report Date:** 2026-09-12
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6785295946
- **Bundle ID:** com.fmx.sage
- **Data Window:** Analysis based on signals collected up to 2026-09-12

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Sage is a food health scanner for iOS that provides nutritional scoring and product alternatives via barcode lookup.
**Why users hire it:** The app removes the cognitive load of reading complex ingredient labels by providing an instant health score and actionable swaps.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Barcode Scanner:** Instant lookup of packaged food items to retrieve nutritional data and ingredient lists.
- **[Differentiator] Personalized Scoring:** Adjusts 0 to 100 health scores based on user-defined goals like sugar reduction or seed oil avoidance.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Differentiator] Better Alternatives:** Suggests healthier product swaps within the same category for items with low health scores.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] Community Database:** Allows users to manually add missing food items to the global database.
  * *User Intent:* Users want real-time communication within the app experience.
<!-- /section:features -->

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

Sage operates as a niche health utility, currently in a maintenance phase with no major updates in the last 15 days.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Subscription
- **Tiers:** Free tier with core scanning functionality, Premium Annual at $49.99 per year with 3-day free trial
- **Analysis:** The subscription model anchors at $49.99 annually, gating personalized health goal adjustments.

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

**Core Strengths:**
- NOVA-based processing classification provides a research-backed health scoring framework.
- Crowdsourced database expansion reduces the cost of maintaining the global food index.

**Growth Levers:**
- Localized database expansion in high-ARPU markets can drive subscription conversion.
- Community-driven data entry lowers the barrier to global product coverage.


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

- Ships maintenance-only updates.
- Last release occurred 15 days ago.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 15 days since last update

<!-- /section:momentum -->

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

Sage - Food Health Scanner is a health & fitness app.

<!-- speakable-start -->
> **Bottom Line:** The current annual-only pricing model creates a high barrier to entry for a utility-focused scanner. Introducing a monthly tier would unlock the casual-user funnel, allowing the app to compete more effectively against lower-cost incumbents.
<!-- speakable-end -->

**Best for:** Health-conscious grocery shoppers and parents who want to monitor ingredient quality and ultra-processed food intake.

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

- [ ] [PIVOT] Pivot the subscription model to a monthly tier because the $49.99 annual price is a high barrier to entry → increase top-of-funnel conversion
<!-- /section:pm-actions -->

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

The health-scanner market is consolidating around platforms that offer broader nutritional tracking beyond simple barcode lookups. Sage remains exposed due to its maintenance-mode development, which prevents it from responding to the rapid feature expansion of larger health-tech rivals.

- 🔴 The maintenance-only release cadence suggests a lack of active investment, which risks long-term data accuracy and user churn.
- ⚪ The reliance on crowdsourced data provides a path to scale, but requires active user engagement that the current feature set does not incentivize.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Subscription |
| Platforms | iOS |
| Key Features | 4 analyzed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Sage - Food Health Scanner** (this app) | N/A/5 | N/A | Felipe Miranda Policarpo de Assis |
| [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:** Felipe Miranda Policarpo de Assis

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/sage-food-health-scanner/id6785295946?uo=4)
- **Sources:** 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** 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:** 18 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/sage-food-health-scanner)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.