Q3 - 2017
First proof of concept successfully completed
Q1 - 2018
Q2 - 2018
Winners of Cogx London!
Q3 - 2018
Q3 - 2018
Technology and industry partners announced
Q3 - 2018
Testnet alpha launch
Q4 - 2018
Testnet beta launch
The Earth Observation Layer for Web3
The Flyingcarpet Network provides decentralised machine learning models to extract data insights from Earth observation using blockchain-based incentives.
Democratising the World's Geospatial Data
Organisations submit model creation requests and our satellite partners provide relevant geospatial datasets. Data scientists then compete in model creation competitions and successful models are stored decentrally so that paying organisations can continually purchase analytics from them via an API. Models are converted into investment vehicles via non-fungible tokens that encapsulate and apportion each model’s future revenue.
Geospatial analytics enable farmers across the world to more accurately monitor yields and inspect crops without walking across their land with paper and pen in hand. With Flyingcarpet, farmers can request highly specific machine learning models that provide precise insights and save them countless days of needless work.
Infrastructure projects are incredibly costly, often involve multiple stakeholders and can be dangerous for the feet on the ground. Organisations can request a Flyingcarpet model that continually processes satellite data relating to a particular project extract insights about its conditions. As such, abnormalities or weak sections are identified and rectified before they become costly - or deadly - problems.
Insurance claims often take years to settle and brokers typically take 25% commissions. With Flyingcarpet, insurers can use a Flyingcarpet model to monitor catastrophe risk in near real-time. Furthermore, by functioning as oracles and reporting back to the blockchain, Flyingcarpet models can also enable automated payouts via smart contracts.
Organisations submit specific model creation requests and our satellite partners provide the relevant geospatial data.
Data scientists compete to build optimal machine learning models. Successful models are stored decentrally and made continually available to paying organisations.
Unique token economic structures enable participants to invest in models and receive a share of the value that they generate.
Q3 - 2017 - First Proof of Concept Successfully Completed
An analytics-extraction algorithm running on drone imagery counted the number of coconuts in a plantation, equipping the farmer with relevant analytics and opening up significant supplemental income channels for the farmer.
Q1 - 2018 - Team Growth
From a drone developer to a performance marketer our list of contributors grows to 11 and counting.
Q2 - 2018 - Winners of CogX London!
Best in Category for Blockchain solutions for IoT.
Q3 - 2018 - Whitepaper Published
Read the latest Flyingcarpet paper here.
Q3 - 2018 - Partners Announced
From industry to technology partners, we'll be announcing our key strategic alliances created to boost the network in its early days.
Q3 - 2018 - Testnet Alpha Launch
Testnet launched to showcase addition and staking of geospatial analytics opportunities.
Q4 - 2018 - Testnet Beta Launch
This iteration of the testnet will include the dataset annotation portal and initial machine learning model integrations.
'19 - Mainnet
Fully operational geospatial services network.
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Get In Touch
If you love complex decentralised mathematical algorithms, get in touch - firstname.lastname@example.org
Have a network of data-collecting drones, satellites, or planes? Get in touch with us! - email@example.com
If your business, DAO or project requires a specific physical world oracle or geospaital analytics-extraction service, reach out to us - firstname.lastname@example.org
We are building something amazing, and we need amazing people to help us - email@example.com