--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "AIRWISE-Safar" developer_entity: "sudhir pawar" bundle_id: "in.res.tropmet.safar" app_store_id: "982823016" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-11-23" report_date: "2026-09-02" last_verified: "2026-09-02T00:00:00.000Z" report_version: "2.2.0" total_reviews: 4 overall_rating: 3 confidence: "low" confidence_score: 0.05 data_age_days: 40 momentum_velocity: "zombie" intelligence_version: 3 tags: ["weather", "free", "mobile app", "app review", "app analysis", "residents", "indian", "metro"] canonical_url: "https://marlvel.ai/apps/airwise-safar" license: "CC-BY-NC 4.0" content_version: "v2" --- # AIRWISE-Safar Intelligence Report ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 3 > **TL;DR:** AIRWISE-Safar is a weather app by sudhir pawar, rated 3/5 by 4 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** AIRWISE-Safar is a weather app by sudhir pawar. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3/5 (4 reviews) | | **Category** | Weather | | **Developer** | sudhir pawar | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 40d | ## Metadata & Market Performance - **Publisher:** sudhir pawar - **Category:** Weather - **Target Audience:** Residents of Indian metro cities seeking air quality data to plan outdoor activities and manage health. - **Platforms:** iOS - **Version Reviewed:** 2.2.0 - **Report Date:** 2026-09-02 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 982823016 - **Bundle ID:** in.res.tropmet.safar - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-09-02 ## Executive Snapshot **What it is:** AIRWISE-Safar is a mobile forecasting tool for Indian metro cities that provides air quality data and health advisories. **Why users hire it:** It replaces manual pollution monitoring with predictive 1-to-3-day forecasts, allowing residents to adjust outdoor plans to mitigate health risks. ## App DNA (Features & Intent) - **[Differentiator] Air Quality Forecasting:** Provides current and 1-to-3-day advance air quality forecasts for metro cities. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Colour-coded Advisory System:** Visualizes air quality levels using a color-coded scale to simplify public comprehension. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Health Advisories:** Delivers health-related recommendations based on current air quality data. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} AIRWISE-Safar holds a specialized position as a government-backed utility, though its 282-day update gap limits its ability to maintain relevance in a category where users expect real-time data accuracy. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download and use - **Analysis:** The app operates as a free public service provided by the Ministry of Earth Sciences. ## SWOT Analysis {#swot} **Core Strengths:** - Government-backed data source (IITM, Pune) provides high-authority air quality metrics **Growth Levers:** - Integration of real-time hyper-local sensor data could differentiate the service ## What's New - **Latest (v2.2.0, 9 months ago):** Maintenance update addressing minor bugs. ## App Momentum (Zombie) {#momentum} - Maintenance-only cadence for 9 months. - Last major release 282 days ago. > **Cadence:** 1 total versions · 0 majors in last 6 months · 282 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} AIRWISE-Safar is a weather app that is completely free. It holds a 3/5 rating from 4 reviews. > **Bottom Line:** AIRWISE-Safar maintains a niche utility for metro residents, but the 9-month development silence leaves it vulnerable to displacement by integrated weather platforms that offer more frequent data refreshes and modern UI standards. **Best for:** Residents of Indian metro cities seeking air quality data to plan outdoor activities and manage health. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit data refresh latency because the 282-day update gap risks data staleness → maintain user trust ### Outlook: Declining The air quality forecasting category is consolidating around generalist weather apps that integrate pollution data into daily workflows. AIRWISE-Safar's lack of recent development leaves it exposed to churn, as users increasingly favor platforms that offer higher data refresh frequency and modern interface standards. - 🔴 The 282-day update gap indicates the app is in maintenance mode, which prevents it from competing with modern, frequently updated weather platforms. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3/5 | | Total Reviews | 4 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **AIRWISE-Safar** (this app) | 3/5 | N/A | sudhir pawar | | [Bauernkalender](https://marlvel.ai/apps/ch-swift-bauernkalender) | N/A/5 | N/A | Swift Management AG | | [Forecast & What to Wear](https://marlvel.ai/apps/com-appsforparents-weatherforkids) | 4.2/5 | N/A | Natalia Jakubczyk-Gajewska | | [Weather&Clothes](https://marlvel.ai/apps/com-air-weather_and_clothes) | 2.7/5 | N/A | fk.system | | [처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!](https://marlvel.ai/apps/com-woozuda-weather) | 4.2/5 | N/A | WOOZUDA | | [미세미세 - 미세먼지, 초미세먼지, 날씨](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) | 4.8/5 | Excited | LifeOverflow Inc. | ## Company Profile - **Developer:** sudhir pawar ## Data Sources & Links - **App Store ID:** 982823016 - **Sources:** App store metadata. ## Related Intel Reports - [*Bauernkalender*](https://marlvel.ai/apps/ch-swift-bauernkalender) (Swift Management AG) · N/A Rating - [*Forecast & What to Wear*](https://marlvel.ai/apps/com-appsforparents-weatherforkids) (Natalia Jakubczyk-Gajewska) · 4.2/5 Rating - [*Weather&Clothes*](https://marlvel.ai/apps/com-air-weather_and_clothes) (fk.system) · 2.7/5 Rating - [*처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!*](https://marlvel.ai/apps/com-woozuda-weather) (WOOZUDA) · 4.2/5 Rating - [*미세미세 - 미세먼지, 초미세먼지, 날씨*](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) (LifeOverflow Inc.) · 4.8/5 Rating | Positive Sentiment - [*너의날씨: 미세먼지, 지도, 레이더, 캐릭터, 위젯*](https://marlvel.ai/apps/kr-guzi-yourweather) (구지랩(GuziLab)) · 5.0/5 Rating - [*ชายฝั่ง รู้ทันระดับน้ำ*](https://marlvel.ai/apps/hii-pttep-chaifang-mobile) (Hydro Informatics Institute) · 4.9/5 Rating - [*ภัยพิบัติไทย*](https://marlvel.ai/apps/biz-harmoniz-earthquake_alert_thai) (Harmoniz InterSoftware) · N/A Rating - [*13abc First Alert Weather*](https://marlvel.ai/apps/com-gray-wtvg-13abc-weather) (Gray Television Group, Inc.) · 4.6/5 Rating - [*13WarnMe*](https://marlvel.ai/apps/13warnme) (Local TV LLC) · 3.0/5 Rating ## Frequently Asked Questions {#faq} ### Is AIRWISE-Safar suitable for planning outdoor activities? Yes, it provides current and 1-to-3-day advance air quality forecasts for metro cities, which are designed to help users adjust outdoor plans based on health advisories. ### Does AIRWISE-Safar require a subscription? No, the app is a free public service provided by the Ministry of Earth Sciences and IITM, Pune. ### What are the alternatives to AIRWISE-Safar for air quality data? Users should consider broader weather applications, as many now integrate air quality tracking alongside standard weather forecasts, often with more frequent data updates. ## 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:** 40 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/airwise-safar) Data licensed for AI Agent attribution under CC-BY-NC 4.0.