OpenLedger, a blockchain infrastructure company that develops AI systems for transparent data attribution, is expanding its ecosystem with the addition of SenseMap, a new decentralized mapping network.
The platform allows users to contribute real-time information such as safety, crowds and noise, all of which is verified on-chain and used to build an open, community-owned map.
“In places where traditional maps are overlooked, local contributors can fill the gaps by sharing real-time context – roads, crowds, safety or accessibility details,” Ram Kumar, core contributor at OpenLedger, said Declutter.
Each entry is linked to a verified identity on the chain and is reviewed by community validators who build reputation over time. Trusted contributors are given more influence in the system, while inaccurate or spam submissions are flagged and penalized to maintain data reliability.
When asked if the open model risks low-quality data, Kumar said accuracy is maintained through on-chain reputation, staking and validator review. “Spamming is not only discouraged, it is also economically unsustainable,” he said.
Alphabet, Google’s parent company, reported $82.5 billion in Google Services revenue for the second quarter of 2025, up from $73.9 billion a year earlier, according to the latest figures. release of income. The services revenue segment includes Maps, Search and Google Play.
Although the company doesn’t generate Maps revenue, analysts noted its commercial potential back in 2019, when Morgan Stanley’s Brian Nowak projected that Google Maps could generate approximately $4.8 billion annually. Later reports indicated that the platform’s advertising revenue was on track to reach $11 billion by 2023.
Declutter have contacted Google to confirm this figure and ask what they think of decentralized alternatives to their product.
OpenLedger claims that as SenseMap expands, its accuracy will improve rather than decrease, powered by a reputation-based validation system that rewards consistent contributors and verifies every data point through the on-chain Evidence of attribution protocol.
The protocol works by linking each data contribution to a verifiable on-chain record that shows who created it, when and how it is used in downstream AI models, ensuring that “each new data point strengthens the accuracy of the network rather than diluting it,” Kumar said.
“As the network scales, trust is maintained through a reputation-based validation system,” Kumar explains. “The more consistent and reliable a contributor’s data, the higher the validator weight.”
Other observers note that maintaining accuracy in decentralized maps relies less on central coordination and more on verifiable data between independent nodes.
“Trust comes from reproducibility,” says Arie Trouw, co-founder and CEO of decentralized physical infrastructure network XYO. Declutter. When multiple nodes achieve the same result through cryptographic proofs, accuracy is established by consensus rather than verification, Trouw explains.
He added that decentralized mapping works best where centralized data collection falls short, such as in “developing regions, disaster zones, or rapidly changing urban areas,” where real-time, verifiable updates are most needed.