RefuseRadar turns a dirty corner into verified environmental data and real cleanup in under a minute. Every report gets a dirtiness score from our model, the air quality reported for that area at the moment it was scored, and a health risk rating that combines both with what neighbours saw on the ground then confirmed by nearby Ambassadors before it counts.
Turn a dirty corner into verified environmental data and real cleanup in under a minute.
Three steps turn a phone camera into an environmental sensor network no new hardware, no municipal form to fill out.
Snap a photo or short video, drop a pin, tag a category done. On-device checks keep bystanders out of frame automatically.
Our model scores how dirty the site is. The air where the report sits is reported by an outside monitoring service, and a published formula combines the two with what neighbours observed to give a health risk rating.
Verified cleanups build your tier a real reputation, not a badge for showing up. Nearby neighbors validate what's true before it counts.
From first launch to tier-up, here's exactly what a report's journey looks like inside RefuseRadar.
New users land on the mission, not a form. One tap into a three-step value carousel, then straight to their first report.
Turn a dirty corner into verified environmental data in under a minute.
Severity-tinted pins, a configurable discovery radius, and a nearby-reports sheet the moment the app opens map-first, the way an environmental sensor network should feel.
Aggregated across every verified report in the area city, region or country scope so the worst hotspots surface on their own instead of getting lost in a feed.
The same leaderboard flips to reward what's working a cleared dumpsite or a well-kept market row earns visibility, not just the worst offenders.
Within range of a site, a report opens fully interactive: the dirtiness score from our model, the air quality an outside monitoring service reported for that area when the report was scored, the health risk that combines them, a trend line, validator status, and a discussion thread plus the option to request validators or mark it cleared.
RefuseRadar reads the air where the report is, from a third-party monitoring service, and shows it exactly as that service reports it. Then it adds what neighbours told us about the refuse itself, including the one thing no satellite and no model can see: whether it burns at night.
We do not measure the air at the pile, and we do not claim to. Nobody does. The reading describes the surrounding area, and the app shows how far away the reporting point is so you can judge it for yourself.
Coverage is uneven and honest about it. Where no service covers a location, the app shows no reading rather than an invented one. Figures in the screenshots on this page are sample values.
Flip the same report to its "Potential" tab and the AI reframes the exact same site as a circular-economy opportunity a directional estimate of the biogas, soil nutrients, and land it could generate if diverted for processing instead of left to pile up.
Too far to report or validate a site yourself? RefuseRadar still shows you the full picture aggregated severity, report history, and trend with a clear, honest "view only" state instead of a disabled button.
Reporters pick 2–5 nearby Ambassadors to confirm what they filed. Validators can confirm or query anything that looks off before a report ever influences an area's ranking.
Points, tier progress, and a public verified/false-report ratio an Ambassador's profile is a track record other neighbors can actually check before trusting a validation request.
When verified cleanups push an Ambassador into a new tier, RefuseRadar makes it a moment not a toast notification. Platinum even gets its own animated shimmer, reserved for the top of the program.
Your verified cleanups just moved you up a tier. Real trash, really gone — nice work.
The same peer-validated data that consumers see on the map is available as a clean REST API built for waste-management companies and environmental sanitation departments that need to know where to send a truck next, and for researchers and circular-economy startups who want to know what that waste could become instead.
GET /v1/areas/top?scope=city&order=severity // Response — 200 OK { "city": "Lagos, Nigeria", "areas": [ { "name": "Bariga", "severity": 80, "trend": "up", "reports": 21, "validated_pct": 100, "potential": { "biogas_m3_month": 510, "homes_powered": 14, "manure_tons": 9 }, "last_report_at": "2026-08-03T09:41:00Z" }, { "name": "Lekki Phase 1", "severity": 62, "trend": "up", "reports": 14, "validated_pct": 92 } ] }
Most cities don't lack sanitation policy they lack reliable, real-time data about where waste is piling up, how severe it is, and whether cleanup crews actually cleared it. RefuseRadar closes that loop with the device that's already in everyone's pocket: a phone camera, an AI scoring pipeline, and a peer-validation layer that keeps the data honest.
We started in Lagos, Nigeria one of the fastest-growing, highest-density cities on the continent, and a proving ground for exactly the kind of environmental reporting gap RefuseRadar is built to close. The product is designed from day one to work the same way in the next city, and the next country: map-first, openly sourced figure by figure, and API-accessible for the refuse haulers and sanitation departments who ultimately have to act on it.
RefuseRadar runs on a cloud-native stack real-time maps, an AI/ML scoring pipeline, and a growing Ambassador network architected to scale from a handful of neighborhoods to an entire country without a rebuild.
RefuseRadar is the product brand of Netcive Ltd (RC 9769006), the company that builds and operates the platform.
Whether you're a resident, a refuse hauling business, or a government sanitation department, we'd like to hear from you.
Ikeja, Lagos, Nigeria
RefuseRadar