We run MLAT across 6,000+ community-hosted stations. It calculates aircraft position from the same signal reaching multiple receivers. One aircraft, many independent observations.

99% of our data arrives in under one second. We capture aircraft signals directly from the sky and run our own data layer, giving live systems lower latency than the legacy aggregator model.

We capture more than aircraft position. The Wingbits feed also carries navigation-accuracy data and TCAS resolution advisories, supporting GPS-interference detection and near-miss replay.

Our stations are locked, verified, and feed only Wingbits. That gives data buyers an independent source instead of another copy of the same shared hobbyist feed.

We use an incentive layer to improve how the network grows. It gives hosts a reason to improve their installs and add coverage where the network needs it.

Customers tell us which airports, corridors, or regions need better flight data. We grow network density around the request, and they pay when that coverage is delivered.

Our ADS-B feed includes navigation-accuracy data from aircraft. When that accuracy degrades, the data can support live detection of GPS jamming and spoofing.

Our stations deliver 60%+ better coverage per station than the passive hobbyist model, on average. The incentive layer gives hosts a reason to improve installs and add coverage where the network needs it.

We now have 6,000+ community-hosted ADS-B stations across 120+ countries. Each is locked, verified, and feeds only Wingbits. The result is an independent feed that adds coverage instead of another copy of the same hobbyist data.

In June 2025, flight trackers could have called the US escalation towards Iran before a single headline broke. US tankers had crossed the Atlantic eastbound about once a day for a month. On June 16, 21 crossed in 24 hours. Five days later, the strikes. Tanker movements don’t lie. Headlines lag. If you trade geopolitical markets on Polymarket, this is the edge: wingbits.ai/prediction-marke…