Grassland lets developers give machines complete situational awareness, regardless of economic, geographic or political barriers.
Its distributed API lets 3rd-party applications and smart contracts query, locate, and respond immediately to physical changes in any tangible asset.
Joshua Gans - Professor, University of Toronto; author, Prediction Machines and The Pandemic Information Gap
The software client's queryable API provides information on the location, custody and transfer of all tangible assets across the map.
This tamper-resistant, digital history of assets and their environments is stored securely in Grassland's spatiotemporal blockchain.
From warehouses to traffic intersections, Grassland reveals how environmental cues affect human decision making.
Apps like 'Analytics Beta' (pictured here) help retailers unlock new revenue with clear insights into the customer journey and conversions.
Each Grassland software client is part of a distributed AI that incentivizes its expansion across the globe by paying miners to reveal all the "dark" areas on its map of the world.
It's computationally intractable to get fake data into Grassland. It'll always work the way it's supposed to, whether or not the participants (individuals, companies, government agencies, etc.) trust or even know each other. This removes friction so it can expand exponentially.
From old cell phones and traffic cams to state of the art satellite feeds, the Grassland software client is compatible with most digital video stream formats. It's open-source; anyone can participate. No special hardware is required.
There are ~170 different classes of tangible assets that the current version of the software client identifies, digitizes and tracks, including humans, roadways, homes, buildings, vehicles, bikes, bags, etc.
Grassland gains more intelligence from exposure to volatility and attacks than from anything else. Which allows your protocols to not just survive conditions that would destabilize other organizations but to thrive in them.
This data helps nodes find optimal territory expansion strategies. They "wargame" together, peer-to-peer, through millions of outcomes to find the most cost effective deployment that provides complete situational awareness w.r.t. a building, street, neighbourhood, city, etc.
Grassland's distributed nature lets it systematically surround and outlast any opponents while it learns to predict their behaviour.
