Identified Flying Objects (IFO) Project, also known as IFOnetwork, is a decentralized platform designed to create a comprehensive, real-time database of aerial objects and phenomena through crowdsourced observations. The project aims to combine data from official sources with user-submitted sightings, utilizing artificial intelligence for analysis and rewarding contributors with cryptocurrency. ^{[1] [2]}

Overview

The IFO Project was established to address perceived gaps in global aerial awareness, where numerous objects may not be tracked or publicly reported by official entities. The platform's primary objective is to construct a transparent and verifiable map of the sky, which the project refers to as a "Sentient Sky." This is achieved by creating a global network of contributors who submit observational data. The core mechanism involves users connecting their Ethereum wallets to the platform to earn points for their contributions, which are designed to correspond to rewards in the network's native cryptocurrency token. By integrating citizen science with blockchain technology, the project seeks to provide a decentralized and immutable record of aerial activity. ^[1]

The platform aggregates data from a wide range of official sources and cross-references it with user-generated content. This dual-source approach is intended to create a more complete and robust picture of activity in the sky, allowing for the verification or debunking of sightings. The system is built to provide real-time visualization of this aggregated data through a web-based interface. The project's operational model is centered on a data economy, where the collected and verified information is packaged into products for various industries, with the generated revenue intended to support the ecosystem and its native token. The project's web application is live, while a mobile application is in development to expand its data collection capabilities. ^{[3] [2]}

History

The project began its public-facing activities in the third quarter of 2025. The official X (formerly Twitter) account for the project, @IFONetworkETH, was created in August 2025. As of September 2025, the project is in its early stages of public engagement, with its web application operational and its mobile application under development. The native token, $IFO, was launched on the Ethereum network via the Uniswap V2 decentralized exchange. ^{[3] [1]}

Products

The IFO Project's ecosystem is accessible through several products, with its primary offering being the data generated by the network. These products are in various stages of development and are designed to serve different user needs.

IFO Command Center

The IFO Command Center is the project's live web application, which functions as the central dashboard for the network. It provides users with a real-time visualization of aggregated aerial data, allowing them to view known objects such as satellites, commercial aircraft, and other tracked phenomena. This interface is also the primary portal for users to connect their Ethereum wallets, submit their own observations, and track the points they have earned for their contributions. The Command Center is designed to be the main hub for interaction with the IFOnetwork's comprehensive database. ^[1]

Sky-Link Mobile Application

Sky-Link is the name of the native mobile application planned for future release on both iOS and Android platforms. The app is intended to streamline the process of on-the-go reporting and tracking, making it easier for users to capture and submit photos and data of aerial events as they witness them. A key feature planned for the Sky-Link app is a real-time Anomaly Alert System. This system is designed to notify users of unusual or unidentified aerial phenomena detected by the network in their geographical vicinity, encouraging immediate observation and data contribution from nearby users. ^[1]

Features

The IFOnetwork platform integrates a suite of features designed to support its decentralized, data-driven ecosystem and incentivize user participation.

• Ethereum Wallet Integration: Users connect a standard Ethereum wallet to the platform to create a secure identity, manage rewards, and interact with the network's blockchain-based components. This integration is fundamental to the project's decentralized nature and its reward distribution mechanism.
• Point-Based Reward System: The platform utilizes a point-based system to incentivize contributions. Users earn points for submitting valuable data, such as clear photos of aerial phenomena with accurate metadata. These points are designed to directly correspond to rewards in the project's native cryptocurrency, creating a direct link between the quality of a user's contribution and their potential earnings.
• Real-Time Aerial Object Tracking: A core feature of the platform is its ability to aggregate and display data on known aerial objects in real-time. The system pulls information from various official and commercial sources to populate its visualization map, providing users with a comprehensive view of tracked activity in the sky at any given moment.
• AI-Powered Visual Analysis: The network employs an artificial intelligence system to analyze user-submitted photos. This AI extracts critical metadata (time, location, camera orientation) and performs a visual analysis of the object in the image. It then cross-references this information with the platform's database of known objects in that specific time and location to provide a probable identification or flag the object as an anomaly.
• Crowdsourced Identification Network: The project relies on its global user base to function as a decentralized network of observers. By submitting photos and data, users collectively contribute to building and verifying the platform's database, enhancing its accuracy and scope beyond what official sources alone can provide.
• Comprehensive Database: The system is designed to create a unique and extensive database by integrating official data from government, military, and commercial sources with citizen-submitted observations. This hybrid approach aims to produce a more complete and transparent record of aerial phenomena. ^{[3] [1]}

Ecosystem

The IFOnetwork ecosystem is structured around a data economy that aims to generate value from the information collected and verified by its network. This model creates a cyclical relationship between user contributions, data monetization, and token value. The process begins with the global network of users who contribute data by submitting photos and observations of aerial phenomena. When a submission is made, it is processed by the platform's AI, which analyzes the image and its metadata against the aggregated database of known objects from official sources. This process validates sightings and identifies genuine anomalies. ^[1]

The verified data is then packaged into distinct product tiers for commercial use. The revenue generated from the sale of this data is intended to fund a buyback and burn program for the native $IFO token. This mechanism is designed to create deflationary pressure on the token's supply, directly linking the real-world value of the network's data to the economic incentives for its participants. The project plans to monetize its data through three main tiers:

• Aggregated Sky Data: This is the foundational data layer, offered as a real-time API feed. It is targeted at markets such as geospatial analytics, logistics, and satellite data services that require comprehensive, real-time aerial information.
• Verified Anomaly Data: This is a high-value, niche product focused on confirmed unusual phenomena that have been vetted by the platform's AI and community validation processes. This data is intended for researchers, academic institutions, and enthusiasts studying UAP/UFOs.
• 'IFOnetwork Sentinel': This is a premium data tier designed for monitoring military hardware and weapons systems. The project's stated goal for this product is to promote global transparency by providing verifiable, publicly accessible data on the movement of military assets. ^[1]

Use Cases

The data generated and curated by the IFOnetwork is intended to serve a variety of applications across multiple sectors. The platform's design supports both public and commercial interests by providing a unique dataset that combines official tracking with crowdsourced intelligence.

• Citizen Science: The platform enables the general public to actively participate in scientific research and data collection related to aerial phenomena, contributing to a structured and verifiable database accessible to researchers.
• UAP/UFO Research: It provides a data-rich environment for researchers and enthusiasts to study unidentified anomalous phenomena (UAP) with greater rigor, using a platform that cross-references sightings with a comprehensive log of known aerial traffic.
• Aviation and Space Traffic Monitoring: The network aims to create a transparent and publicly accessible record of known flight and satellite activity, which can be used for monitoring and analysis by commercial and private entities.
• Data Verification: The platform serves as a tool to verify or debunk sightings of aerial objects by allowing users to check their observations against a database of known air traffic, satellite passes, and rocket launches for a specific time and location.
• Logistics and Commercial Tracking: Companies in the logistics and transportation sectors can potentially use the aggregated data to gain a more comprehensive view of aerial traffic, enhancing operational awareness.
• Geospatial Analytics: The real-time data feeds can be supplied to geospatial intelligence firms to enrich their market analysis and intelligence products. ^{[1] [2]}

Architecture

The technical architecture of the IFO Project is a multi-layered system that integrates blockchain technology, cloud computing, artificial intelligence, and data aggregation to power its network. The foundation of the system is a multi-source data aggregation engine. This engine continuously pulls real-time information from a variety of sources, including government databases, NORAD tracking systems, commercial airline flight data feeds, and private space companies like SpaceX and Blue Origin. This aggregated data forms the baseline reality against which user submissions are compared. ^[3]

When a user submits a photo through the web or mobile application, the data is sent to a cloud processing layer. Here, essential metadata such as GPS coordinates, timestamp, and camera settings are extracted from the image file. Following metadata extraction, an AI and machine learning visual analysis model processes the image itself. This model compares the visual characteristics of the object in the photo to the aggregated data of known objects that were present in the vicinity at that exact time. The AI provides a classification, identifying the object if possible or flagging it as an unknown for further review. The results of this analysis are then recorded and integrated into the platform's database. The entire system is built to interact with the Ethereum blockchain, which is used to manage user identity via wallet connections and to facilitate the point-based reward system and the distribution of the $IFO token. Finally, all the aggregated and analyzed data is presented to users through a real-time visualization interface on the IFO Command Center web application. ^[1]

Tokenomics

The native utility token of the IFOnetwork is $IFO, an ERC-20 token launched on the Ethereum blockchain. The token is central to the platform's incentive structure and is designed to connect the value of the network's data to its participants. The total supply of the $IFO token is capped at 1 billion. The token was launched with a 0% tax on all transactions, including buys, sells, and transfers. A key feature of its economic model is the plan to use future revenue generated from the platform's data marketplace to fund automatic buyback and burn programs, which are intended to create deflationary pressure on the token supply over time. ^[1]

Allocation

The total supply of 1 billion $IFO tokens was divided equally between two primary purposes at the time of its launch.

• Liquidity Pool: 50% of the total supply (500 million $IFO) was allocated to create a liquidity pool on the Uniswap V2 decentralized exchange, ensuring a market for the token.
• Marketing & Development: The remaining 50% (500 million $IFO) was allocated for marketing initiatives, strategic partnerships, and the ongoing development of the ecosystem and its technology.

Utilities

The $IFO token is designed with several utilities to encourage participation and drive the network's core functions.

• Contribution Rewards: The primary utility of the token is to reward users for submitting valuable and verifiable observations of aerial phenomena to the network.
• Validation Rewards: The project plans to allow users to earn additional tokens by participating in the validation process, helping to verify community submissions and maintain the integrity of the database.

Governance

The available source materials do not contain specific information regarding a governance model for the $IFO token or the IFOnetwork platform. There is no mention of whether token holders will have voting rights or be able to participate in decisions regarding the project's future development. ^[1]

Partnerships

Based on the provided source materials, there is no information available regarding any publicly confirmed partnerships with other organizations, companies, or projects at this time. ^{[3] [1]}