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Technology supplier · Startup

Wingbits

Air Traffic ManagementData Analytics & AI Platforms

Wingbits, a Stockholm company, runs a community flight-tracking network in which people host ADS-B receivers and are rewarded with crypto tokens.

Founded by Robin Wingardh and Alex Lungu, it has raised 9.2 million US dollars, including a 5.6 million round in January 2025. It reports more than 5,500 active stations. Its AI element is a conversational assistant for querying flight data; its first paying customer is an unnamed US aerospace company. Its founding year is given as both 2022 and 2023.

No verified deployments yet

Wingbits is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.

Products & Solutions

3 products

Wingbits Network

A decentralised, community-powered ADS-B flight tracking network that aggregates real-time aircraft position data from contributor-operated ground receivers worldwide. Participants earn WING tokens for providing coverage, creating a self-sustaining global airspace data layer without dependence on centralised infrastructure.

The problem it addresses

Traditional ADS-B networks rely on centralised providers whose coverage is uneven and expensive. Wingbits incentivises community members to deploy receivers and share data, dramatically expanding coverage, especially in remote and underserved regions, at a fraction of the cost.

Key features
  • Real-time ADS-B aircraft position aggregation
  • Decentralised ground receiver network
  • WING token rewards for coverage contributors
  • Global coverage including remote regions
1 more feature
  • Open data layer for airspace intelligence applications

Wingbits AI Assistant

A conversational AI interface layered over the Wingbits airspace dataset that allows operators, researchers, and planners to query real-time and historical flight data using natural language.

The problem it addresses

Airspace data is rich but difficult to interrogate without technical skills. The AI Assistant removes that barrier, enabling drone traffic managers, UTM operators, and aviation planners to ask plain-language questions and receive actionable intelligence instantly.

Key features
  • Natural-language queries over live airspace data
  • Full historical aircraft movement recall
  • Drone and UTM traffic management support
  • Integration with the Wingbits Network data layer
1 more feature
  • Accessible to non-technical operators

WING Token

The native cryptocurrency token of the Wingbits ecosystem, used to reward ground-receiver operators who contribute ADS-B coverage to the network. WING tokens create a circular economy where data contributors are compensated in proportion to the quality and quantity of coverage they provide.

The problem it addresses

Without a financial incentive, community-operated sensor networks suffer from sparse, inconsistent coverage. WING tokens align the interests of individual contributors with the collective goal of comprehensive global airspace awareness.

Key features
  • Token rewards proportional to coverage quality
  • Blockchain-based transparent reward distribution
  • Incentivises deployment in coverage gaps
  • Tradeable on supported exchanges
1 more feature
  • Governance participation for network contributors

Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.