SafeGuard: Auto SOS SMS+Call

SafeGuard is an offline auto-SOS app that runs quietly in the background. When it detects that you may no longer be able to operate your phone, it automatically sends your last location and an emergency message to trusted contacts, with the goal of saving more people from deaths caused by late discovery.

The product is already live on Google Play as a fully functioning Android app.
I am seeing organic installs from users who actively search for safety / SOS tools, and there are already paying subscribers on the current subscription model.
The app is stable in production, runs fully offline on-device, and I am now focusing on improving retention, fine-tuning detection logic, and preparing localization for more markets.

In principle, anyone who carries a smartphone can be a SafeGuard user, but at this stage I am focusing on groups with higher risk:
• Older adults who live alone or spend long periods of time by themselves.
• Workers who commute or work alone for long hours (e.g. night-shift workers, long-distance commuters).
• People in higher-risk environments (e.g. long-haul drivers, outdoor workers, solo travellers).

Payers are usually family members or partners who worry about late discovery, and in the future may also include employers, care facilities, and insurance companies in B2B / B2B2C models.

Over the next decade, today’s smartphone-native adults will age into a “senior generation that already understands technology”. This is a growing AgeTech safety market: most people already carry powerful mobile devices, but still lack a truly automatic, offline SOS safety layer.

In many real-world incidents, people do not die instantly from the accident itself, but because nobody notices for hours.
Falls at home, car crashes on empty roads, sudden medical events, or attacks by abusive partners often leave the victim unable to operate their phone.
Most existing SOS tools assume the user can unlock the phone, find a button, or speak. In the critical minutes when people are unconscious, frozen, or physically unable to move, these tools fail.
The opportunity is to build a “safety base layer” that works exactly in those moments when the user cannot help themselves.

SafeGuard is an offline auto-SOS Android app that runs quietly in the background and focuses on the gap when the user can no longer operate their phone.
It uses multiple guard modes (e.g. speed + G-force for car accidents, long inactivity, unusual location stays, heart-rate anomalies with wearables, etc.) to infer that something may be wrong.
If the user does not respond, the system automatically sends an SMS with the last known location and a short emergency message to pre-selected trusted contacts, and can auto-dial them as well.
All detection and decision logic runs locally on the device, without cloud servers or continuous tracking dashboards.

Existing alternatives include:
• Built-in SOS functions on smartphones (e.g. side-button presses, manual emergency calls).
• Cloud-based safety apps that require an internet connection and accounts, often focused on tracking or check-in flows.
• Wearables with fall detection or panic buttons.

All of these share one core limitation: they still assume the user can press a button, unlock a screen, or speak at the critical moment. Many also depend on cloud services, continuous connectivity, and centralized dashboards, which raises privacy concerns and can fail exactly when networks are unstable.

• Offline by design: All detection and decision logic runs locally on the phone. The core safety function does not rely on cloud servers, which reduces privacy risk and dependency on network connectivity.
• Specifically built for “when the user cannot operate the phone”: The system is designed around scenarios where the user is unconscious, frozen, in panic, or physically unable to move, rather than just adding another manual panic button.
• Multi-scenario guard modes: Instead of a single trigger, SafeGuard combines multiple guard modes (e.g. accident detection via speed + G-force, long inactivity, abnormal location stays, heart-rate anomalies, etc.) to increase the chance of noticing that something is wrong.
• Automatic, not button-driven: The core flow is auto-detection + countdown + automatic notification, instead of the traditional SOS model that only works if the user can press a button in time.
• No continuous surveillance dashboard: Trusted contacts only receive alerts when there is a suspected problem, rather than seeing every movement all the time, which reduces the risk of misuse and unwanted surveillance.
• A growing guard ecosystem, with a combination that is rare in the market: Additional guard modes (such as water/overboard detection, abnormal environmental audio, or suspected “not operated by the owner” behaviour) are planned. The current combination of multiple guard modes, fully offline operation, and an automatic countdown that ends in SMS + phone alerts is something we almost never see offered as a complete package in existing safety apps.

Current revenue comes from in-app subscriptions: after a free trial, users pay to unlock advanced guard modes and continuous background protection.

Future revenue streams may include B2B / B2B2C partnerships with care providers, employers, and insurance companies that integrate auto-SOS as part of their safety offering, as well as licensing SafeGuard’s multi-guard engine to smartphone manufacturers or OS vendors as a native feature (with royalties / licensing fees.

Main costs include development (Flutter app + native Android services), device testing, localization into multiple languages, user support, and small but highly targeted marketing and educational content. Excluding paid advertising, the core annual operating cost is approximately USD 30,000.

Business model:
The core model is a subscription with a free trial. The focus is on delivering real, on-device protection rather than monetizing user data.
Channels:
• Google Play Store (direct downloads).
• Content and storytelling around real “late discovery” incidents.
• Partnerships with local communities, NGOs, and organizations working on care and safety.
Key metrics:
Core metrics include total active guard hours per user, retention after the free trial, and conversion from free to paid subscriptions.

The funds will mainly be used to:
• Continuously strengthen existing guard modes: Improve the detection logic and stability of the current accident guard (speed + G-force), long inactivity guard, abnormal-location stay guard, and heart-rate guard, in order to reduce both false positives and false negatives.
• Complete the planned new guard modes: Develop the next wave of guard modes already on the roadmap, such as water / drowning risk, abnormal environmental audio, and suspected “not operated by the owner” behaviour, to make the overall protection system more complete.
• Run targeted marketing and ad experiments: Conduct small but focused marketing and advertising tests to identify the most effective channels to reach the right users and payers.
• Purchase and test a wide range of devices: Buy and test different Android phone models and multiple heart-rate wearables to validate compatibility and stability across real-world hardware.
• Cover essential operating costs: Support ongoing development, maintenance, and user support so that the core safety features can remain affordable for people who need them.

I am looking for partners who genuinely understand the “late discovery” problem and are willing to support the development of an offline auto-SOS safety layer over the long term — not just investors chasing the next hype app.

At the pre-seed stage, I am open to discussing a fair equity stake in exchange for funding. The priority is not maximizing valuation, but securing several years of stable runway so that this system can be built correctly, made robust, and kept running.

From a market perspective, any smartphone can potentially become a SafeGuard device — this is a space measured in billions of phones worldwide. But my ultimate goal is not just revenue growth. Once operations reach a certain scale, I want to be able to reduce or waive fees for some high-risk, vulnerable, or low-income users, so that automatic SOS can become an affordable safety layer rather than a luxury.

If an investor cares about reputation and real-world impact, and wants their capital to contribute to something tangible in human safety, this is a very suitable problem space.
For me personally, the main question is not “how much can this be worth,” but whether this system can keep running, reach more people, and quietly prevent deaths that would otherwise happen simply because nobody realized in time.

• Platform dependence: The product is currently focused on Android. Expanding to iOS will require a completely different technical strategy and will face stricter background execution and system limitations.
• New value category that needs time to be understood: SafeGuard offers a relatively new type of “auto-SOS / late-discovery prevention” value. The market needs time to understand this, so revenue growth is unlikely to follow the typical short-term, viral app pattern.
• Limited founder resources: As a solo founder with no external funding, the speed of development, market expansion, and experimentation with different business models is constrained until additional support is secured.

I have not yet participated in any formal incubation or acceleration programs. My main focus so far has been on building the product and validating it with real users.

I have not yet entered related competitions or received awards, as I am currently prioritizing product execution and real-world user validation.