Description
EnviroCopilot is an offline AI health assistant that uses EU satellites data to protect people from heat, pollution, UV radiation, and wildfire smoke.
It generates a personalized 0–100 risk score, sends clear alerts, and lets you check on loved ones (like an elderly parent), so your whole family can stay safe, even during blackouts.
Problem
Extreme environmental conditions are becoming a major public health threat across Europe. In 2022 alone, more than 62,000 people died during heatwaves, and 96% of the urban population breathed air that exceeded WHO pollution limits. Over 40 million Europeans live with asthma, more than 60 million with cardiovascular disease, and over 60 million are aged 65 or older -all groups highly vulnerable to heat, smoke, pollution, and UV radiation exposure.
Yet most people don’t know when they’re at risk, and today’s apps are often siloed, impersonal, and cloud-dependent. They rarely offer offline alerts, personalized health guidance, or a way to check in on family members who may need help during environmental emergencies.
Solution
EnviroCopilot is your on-device AI health assistant, built to protect you and your loved ones from environmental threats like heat, air pollution, UV radiation, and wildfire smoke. It uses near-real-time Copernicus satellite data (CAMS, ERA5, Sentinel-5P) to generate a personalized 0-100 risk score, updated regularly throughout the day. If you're at risk, you receive a clear, plain-language alert - and with just one tap on the “Why am I at risk?” button, the AI explains what’s wrong and what to do next. The app works fully offline, even during blackouts, and includes care-sharing so you can monitor family members, like elderly parents. When the risk is high, it suggests protective gear, such as HEPA masks or solar power banks, via the built-in Prep-Shop.
EnviroCopilot directly addresses the urgent gaps in environmental health protection across Europe. While existing apps are siloed, static, and cloud-dependent, our solution integrates multi-hazard monitoring, personal health context, and offline functionality into one seamless experience. It empowers users with timely, actionable guidance - no matter their age or tech skills - and provides peace of mind for families. Whether you're managing asthma in a polluted city or checking on a loved one during a heatwave, EnviroCopilot turns complex satellite data into meaningful, life-saving action.
Check out our mock-up app https://v0-enviro-copilot-ui.vercel.app/
🧪 Case Example: Sofia and Her Grandmother
Sofia lives in Athens and has mild asthma. One summer afternoon, EnviroCopilot alerts her that air quality has dropped sharply: PM₂.₅ is above 30 µg/m³, and ozone levels are rising. The app gives her a risk score of 78 and a clear explanation: “Air is unsafe today due to fine particles and ozone. Limit outdoor activity. Use a mask if you must go out.” It also suggests a HEPA mask via the Prep-Shop.
Sofia checks the app’s family tab and sees her grandmother, who lives nearby, also has a high risk score - but no recent app activity. With one tap, she calls to check in. Her grandmother hadn’t noticed the heat or air issue, but now knows to stay indoors, hydrate, and use the fan.
EnviroCopilot didn’t just warn Sofia - it helped protect two generations with real-time data, simple alerts, and a human connection. That’s how we solve the problem.
Scientific Architecture & Risk Modeling
EnviroCopilot integrates Copernicus Level 2 satellite data from Sentinel-5P (NO₂, O₃, CO, aerosols), CAMS (PM₂.₅, pollen, UV), and ERA5 (UTCI, temperature, humidity) to assess environmental health risks at high spatial and temporal resolution.
Check out the map for Greece for CO https://anaskou.github.io/EnviroCopilot/
We also use Galileo to track the precise location of the user, and we compute a personalized 0–100 risk index, updated regularly, by mapping satellite values to clinically validated thresholds (e.g. PM₂.₅ > 25 µg/m³, UTCI > 32 °C) and applying condition-specific modifiers based on user health data. For example, an asthmatic user will receive higher weight on NO₂ and PM₂.₅ exposure, while cardiovascular patients are more sensitive to heat and CO levels. This aligns with WHO guidelines and peer-reviewed models of environment-linked morbidity risk.
A compact 3–4B parameter LLM (e.g. Phi-3 or Gemma), running via MLC-LLM directly on the device, enables offline natural language queries like “Why is my risk score high?” or “What should I do today?”, providing adaptive, personalized explanations with no cloud required.
Users can optionally activate care-sharing, enabling monitoring of relatives' risk levels, activity responsiveness, and health-log export, creating a privacy-first support loop for families managing heat, pollution, or allergy vulnerability.
Business plan
EnviroCopilot’s business model starts with a B2C focus, testing product–market fit through premium subscriptions and affiliate sales from in-app gear recommendations. We plan to launch with targeted TikTok and Google ads during seasonal risk events (e.g. heatwaves), validate demand, and generate initial revenue through Premium (€1.99/mo) and Prep-Shop conversions.
Market
EnviroCopilot serves a rapidly growing market of health-conscious individuals across Europe—especially the 40+ million with asthma, 60+ million aged 65+, and millions exposed to rising heat and air pollution. We operate on a B2C freemium model: free users receive real-time alerts, local risk maps, and SOS posts, while premium users (€1.99/month) unlock offline mode, multi-location tracking, and unlimited family member monitoring. Additional revenue comes from affiliate sales through our Prep-Shop, offering curated protective gear when risks are high. With an initial focus on 5–6 million users in Southern Europe and industry-standard conversion rates (1–10%), we see clear potential for €1M+ ARR in subscriptions and affiliate revenue in the first phase of rollout.
Who we are
The EnviroCopilot team brings together technical depth, scientific credibility, and startup execution experience:
Giorgos Nikolaou – Product Owner, Full Stack dev, Business Support
Full-stack developer with expertise in distributed systems, LLMs, and SaaS. Leads product development, strategy, and execution. Has helped founders raise funding and supported investors with technical due diligence. accepted Orange DAO incubation program.
Anargyros Skoulakis – Medical Lead
Medical doctor with a PhD in bioinformatics. Oversees health modeling, clinical validation, and regulatory alignment.
Maria Aslanidou – Space Data Lead
Astrophysicist with a background in computational astrophysics, machine learning, and data science. Leads Copernicus data integration and geospatial analytics.
Vasilis Mpisketzis – AI Engineer
AI researcher with strong experience in LLMs and applied ML across scientific domains. Leads development of the on-device AI assistant.
Athanasia Georgoulopoulou – Clinical Partnerships Lead / Ambassador /
Medical doctor focused on user needs, community outreach, and partnerships with care providers and health organizations.
Competitors
Several environmental health apps have found success by focusing on narrow use cases, but none offer a complete, personalized solution.
BreezoMeter, recently acquired by Google, built strong B2B traction in air quality APIs but focuses only on pollution, with no integration of personal health or satellite-scale risk. IQAir has millions of downloads and global brand recognition, but remains a single-hazard app focused on air data. FEMA apps and emergency alert platforms provide static, event-based warnings, not continuous risk scores or health integration. DiscovAir introduced the idea of environmental awareness, but lacks personal adaptation and clinical alignment.
EnviroCopilot goes beyond all of them: combining multi-hazard monitoring, tracking your family, personalised alert based on user's health status, on-device AI, and Copernicus satellite precision into a tool that is real-time, offline-ready, and tailored to both your health and your environment.
Social Media
Instagram @EnviroCopilot
Facebook @EnviroCopilot
References
ISGlobal summary: https://www.isglobal.org/en/-/el-calor-record-del-verano-de-2022-causo-mas-de-61-000-muertes-en-europa
Nature Medicine, Ballester et al., 2023: https://www.nature.com/articles/s41591-023-02419-z
University of Paris/ISGlobal: https://u-paris.fr/en/summer-2022-record-heat-caused-over-61000-deaths-in-europe-with-nearly-5000-in-france
European Lung Foundation: https://europeanlung.org/en/information-hub/factsheets/asthma-factsheet/