{"id":"datavlt","hidden":false,"ipfs":"QmYG7UVFVgaK3kbHguknoYqD9WdG9jJ6V4GKUf9UReftW4","language":"en","transactionHash":"0xfdc5e8630f77376151f33fe264fc91bc910339f8bf553f2390d5eaa2aceeb858","created":"2025-09-01T10:57:26.475Z","updated":"2026-09-18T10:38:56.276Z","title":"DataVLT","summary":"DataVLT is a Singapore-based Web3 and AI platform that manages and secures data from Internet of Things (IoT) devices using decentralized identity and neuro-evolution algorithms.","content":"**DataVLT** is a [Web3](https://iq.wiki/wiki/web3) and Artificial Intelligence (AI) platform that aims to create a decentralized ecosystem for Internet of Things (IoT) devices. Founded in 2017 by Willy Wong, Michelle Yeo, and Benny Low, the original company was positioned as a blockchain-secured data analytics platform that used distributed ledgers to enhance trust and traceability in enterprise data workflows.[\\[5\\]](#cite-id-jn3fnvt4d3)​[\\[6\\]](#cite-id-daj3m9gbpo)​\n\nThe project’s later iteration focuses on residential IoT, using neuro-evolution algorithms and decentralized identifiers (DIDs) to coordinate home devices autonomously while aiming to preserve user privacy and data sovereignty. In this design, on-chain identifiers and incentives are combined with off-chain data processing and storage so that households can manage device interoperability, automation routines, and data-sharing policies under user-controlled cryptographic identities.[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9)​[\\[7\\]](#cite-id-k8qca1b07q)​\n\n![](https://ipfs.everipedia.org/ipfs/QmNeGBfGP5qLQWvXAg3y2XXmbPi94SibgotcqJUF7ZxBeR)\n\n## History\n\nDataVLT was founded in 2017 in Singapore by Willy Wong, Michelle Yeo, and Benny Low as a blockchain-secured data analytics platform focused on helping enterprises generate insights from large, heterogeneous data sets while maintaining data provenance and auditability.[\\[5\\]](#cite-id-jn3fnvt4d3)​[\\[6\\]](#cite-id-daj3m9gbpo) In its early phase, the company emphasized combining machine learning with distributed ledgers so that data flows and model outputs could be traced and verified across multiple stakeholders.[\\[5\\]](#cite-id-jn3fnvt4d3)​\n\nIn 2018 the project conducted an [initial coin offering (ICO)](https://iq.wiki/wiki/initial-coin-offering) for the DVLT token on [Ethereum](https://iq.wiki/wiki/ethereum), positioning it as a [utility token](https://iq.wiki/wiki/utility-token) for accessing analytics services and incentivizing data contributions. According to project and offering materials, the regulatory and whitelisting process for the token sale began on 31 July 2018, with the public sale phase launching on 13 August 2018.[\\[6\\]](#cite-id-daj3m9gbpo) Following the ICO, DataVLT continued to develop its analytics capabilities and was recognized as the winner of the 2020 A\\*STAR Advanced Remanufacturing and Technology Centre (ARTC) Startup Challenge, which highlighted its work on industrial analytics and smart manufacturing applications.[\\[8\\]](#cite-id-mjb604n9p1)​\n\nSubsequent project iterations shifted the focus from enterprise analytics toward a Web3-based, AI-driven IoT hub for residential environments, extending the use of DVLT into an incentive and [governance token](https://iq.wiki/wiki/governance-tokens) for an autonomous smart home protocol. This evolution included the introduction of decentralized identifier (DID) mechanisms, a new economic model, and a migration of the core protocol description and [tokenomics](https://iq.wiki/wiki/tokenomics) to the [Optimism](https://iq.wiki/wiki/optimism) network, while retaining a representation of the ecosystem token on [BNB Chain](https://iq.wiki/wiki/binance-smart-chain) through a separate token.[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9)​[\\[3\\]](#cite-id-WaO1ExJQNg)​[\\[7\\]](#cite-id-k8qca1b07q)​[\\[9\\]](#cite-id-3xyoyat1ia)​\n\n## Products\n\nDataVLT is being developed as an intelligent hub platform and an autonomous protocol layer designed to address challenges within the global residential IoT device market, which DataVLT’s own documentation describes as exceeding $87 billion in 2023.[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9) The project identifies key consumer demands and aims to solve persistent issues in the IoT sector, including data silos, a lack of cross-brand device connectivity, and concerns over data privacy and security. By combining AI for autonomous decision-making with [Web3](https://iq.wiki/wiki/web3) for secure, decentralized connectivity, DataVLT seeks to transition the market from standard home intelligence to a model of \"trusted intelligence.\"\n\nThe platform is described by the team as a \"cognitive engine for spatial intelligence,\" intended to create user-centric environments where the system can autonomously learn from and optimize connected devices for seamless interoperability. The team describes the architecture as privacy-first and \"GDPR-Web3\" aligned.[\\[2\\]](#cite-id-DSPRswUbkG)​\n\n* **Intelligent Hub Platform**: This is the central system that integrates [Web3](https://iq.wiki/wiki/web3) and AI to manage the network of IoT devices. It functions as the core infrastructure for device communication, data processing, and autonomous decision-making.\n* **DID-NFT System**: The platform utilizes a system of Decentralized Identifiers (DIDs) based on what it describes as the ERC-723 standard, a programmable DID token format used in the project’s design.[\\[3\\]](#cite-id-WaO1ExJQNg) These DIDs are issued as non-fungible tokens (DID-NFTs) that the project positions as \"digital passports\" for users and their devices, granting sovereign control over identity and the data generated by connected equipment. According to the economic model, DID-NFTs are minted by spending DVLT tokens, and each DID-NFT can be associated with both user accounts and specific IoT devices so that device activity and data streams are linked to an on-chain identity anchor while the underlying data remains stored off-chain. DID-NFTs therefore function as the primary on-chain identifiers for access control, rewards, and governance, while data processing and storage are handled by edge devices and off-chain infrastructure.[\\[3\\]](#cite-id-WaO1ExJQNg)\n* **Decentralized Certification Lab**: DataVLT describes a decentralized laboratory for certifying the integration and performance of IoT devices within its ecosystem. This initiative is intended to ensure that devices from various manufacturers meet the platform's stated standards for security, interoperability, and performance before being onboarded to the network.[\\[1\\]](#cite-id-nwjQmxqNXK)[\\[2\\]](#cite-id-DSPRswUbkG)\n\n## Features\n\n### Autonomous Intelligence\n\nThe system's intelligence is driven by adaptive neuro-evolution algorithms, which are intended to allow the platform's AI to be self-evolving. This means the network can learn from new data and device interactions over time, continuously improving its decision-making and operational efficiency without direct human intervention. These algorithms are described as optimizing device coordination, energy use, and home automation routines based on household behavior, with learning processes performed on edge devices or local hubs to align with the project’s privacy-focused design.[\\[7\\]](#cite-id-k8qca1b07q)​[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9)​[\\[2\\]](#cite-id-DSPRswUbkG)​\n\n### Interoperability\n\nA primary goal of the platform is to provide seamless, millisecond-level connectivity across IoT devices from different brands and communication protocols. This is intended to break down the \"walled garden\" ecosystems that currently dominate the smart home market.[\\[2\\]](#cite-id-DSPRswUbkG)​\n\n### Security and Privacy\n\nDataVLT emphasizes a privacy-first design, incorporating encryption and access control mechanisms alongside what project materials describe as six layers of protection. According to the project, these layers encompass measures such as data encryption, access and permission controls, device identity and authentication, network monitoring, anomaly or threat detection, and governance or policy controls for managing data use and device behavior.[\\[1\\]](#cite-id-nwjQmxqNXK)​[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9) The project reports a 99.7% security metric for its platform, presenting this as an internally derived performance indicator rather than an independently audited result.[\\[1\\]](#cite-id-nwjQmxqNXK)​[\\[2\\]](#cite-id-DSPRswUbkG)​\n\n## Use Cases\n\n* **Smart Home and IoT Integration**: The platform's primary use case is to break down the isolation between smart devices from different manufacturers.\n* **Data Monetization**: The ecosystem is designed to allow users to earn rewards by contributing anonymized data from their IoT devices to the network. This data can be used to train the platform's AI and provide insights for third-party services.\n* **Spatial Intelligence**: DataVLT states that it aims to create an AI-driven \"spatial brain\" that can understand and automate actions within a physical space. By processing real-time data from a mesh of connected devices, the AI is intended to learn patterns, anticipate user needs, and manage the environment proactively, such as adjusting lighting and temperature based on occupancy or time of day.\n* **Automated Equipment Linkage**: Through the use of [smart contracts](https://iq.wiki/wiki/smart-contract), the platform can automate complex interactions and workflows between different devices. For example, a smart lock unlocking could trigger a sequence of events, such as turning on specific lights, adjusting the thermostat, and deactivating a security system.[\\[2\\]](#cite-id-DSPRswUbkG)\n\n## Governance & Tokenomics\n\nGovernance in DataVLT combines protocol-level rules, token-based incentives, and voting mechanisms that link decision-making influence to participation in the network.\n\nDVLT as the native token of the DataVLT protocol on the [Optimism](https://iq.wiki/wiki/optimism) network, with a total supply of 100 billion DVLT.[\\[3\\]](#cite-id-WaO1ExJQNg)​[\\[7\\]](#cite-id-k8qca1b07q) A separate token named LONG is issued on [BNB Chain](https://iq.wiki/wiki/binance-smart-chain) and is used on some exchanges as a representation of the DataVLT ecosystem token, while the core protocol logic and incentive mechanisms are documented for the [Optimism](https://iq.wiki/wiki/optimism) deployment.[\\[9\\]](#cite-id-3xyoyat1ia)​[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9)​\n\nWithin the protocol, DVLT is used as the unit of account for identity creation, data incentives, and governance-related pledging. According to the economic model, minting a DID-NFT requires spending 500 DVLT, which links a user or device identity to the network and enables participation in rewards and control policies.[\\[3\\]](#cite-id-WaO1ExJQNg) The model specifies base data rewards of 50 DVLT per gigabyte of contributed data, adjusted by a quality factor that ranges from 70% to 130% depending on attributes such as data completeness, reliability, and usefulness to the learning algorithms.[\\[3\\]](#cite-id-WaO1ExJQNg) Additional \"scenario incentives\" provide further DVLT rewards for behaviors or configurations that the protocol aims to encourage, such as participation in specific automation schemes or device coordination patterns, with payouts and governance influence scaled to the volume of DVLT pledged by participants.[\\[3\\]](#cite-id-WaO1ExJQNg)​\n\nThe protocol uses a pledge-based mechanism in which [nodes](https://iq.wiki/wiki/node) and participants lock DVLT to access roles, earn rewards, and signal long-term commitment to the network. Documentation indicates that there is no fixed upper limit on the number of [nodes](https://iq.wiki/wiki/node), and that pledge size and performance are used to determine eligibility for rewards, subject to periodic review of [node](https://iq.wiki/wiki/node) activity and responsiveness.[\\[3\\]](#cite-id-WaO1ExJQNg) This structure is intended to align incentives between device operators, data providers, and governance participants through a combination of [staking](https://iq.wiki/wiki/staking), data contribution, and service provision.[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9)​\n\nAt a high level, the economic model outlines DVLT allocations for ecosystem incentives, community rewards, and development, but public documentation does not provide a fully detailed breakdown of token allocation and vesting schedules for categories such as the team or early investors.[\\[3\\]](#cite-id-WaO1ExJQNg) As a result, only partial information is available on the long-term distribution of DVLT across stakeholder groups.\n\nGovernance in the DataVLT protocol is described as tied to DVLT pledging and weighted voting. Participants who pledge DVLT can gain governance rights that allow them to vote on protocol parameters, incentive configurations, and other system-level decisions, with voting power weighted by the amount of DVLT pledged and potentially modified by factors such as participation history or role in the ecosystem.[\\[3\\]](#cite-id-WaO1ExJQNg) This approach is intended to embed protocol governance directly into the [tokenomics](https://iq.wiki/wiki/tokenomics), linking decision-making influence to long-term economic alignment with the network.[\\[4\\]](#cite-id-ROhk31ryF4nDKnI9)​\n\n​\n\n## Funding\n\nDataVLT’s early development was financed in part through an [initial coin offering (ICO)](https://iq.wiki/wiki/initial-coin-offering) for the DVLT token in 2018. Offering materials describe DVLT as a [utility token](https://iq.wiki/wiki/utility-token) for accessing analytics services and incentivizing data contributions, with the regulatory and whitelisting process beginning on 31 July 2018 and the public token sale phase starting on 13 August 2018.[\\[6\\]](#cite-id-daj3m9gbpo) The ICO framework outlined soft cap and hard cap funding targets for the sale.[\\[10\\]](#cite-id-x850cyt7wz)​\n\nAccording to the project’s statements, proceeds from the DVLT sale were intended to support the build-out and commercialization of DataVLT’s blockchain-secured data analytics and AI platform, including infrastructure, product development, and ecosystem growth initiatives.[\\[6\\]](#cite-id-daj3m9gbpo)​","recentActivity":null,"operator":{"id":"0x1E23b34d3106F0C1c74D17f2Cd0F65cdb039b138"},"categories":[{"id":"projects-and-protocols","title":"projects-and-protocols"}],"tags":[{"id":"Infrastructure"},{"id":"AIPlatform"}],"images":[{"id":"QmTMPmcyFRVwstmfjLCYtcGRvJwgcMzABiqhvTgpJjCSyZ","type":"image/jpeg, image/png"}],"media":[{"name":"1500x500 (4).jpeg","id":"QmNeGBfGP5qLQWvXAg3y2XXmbPi94SibgotcqJUF7ZxBeR","size":null,"type":null,"source":"IPFS_IMG"}],"linkedWikis":{"founders":[],"blockchains":[],"speakers":[]},"events":[],"founderWikis":[{"id":"anon","title":"Anon"}],"blockchainWikis":[{"id":"optimism","title":"Optimism"}],"metadata":[{"id":"website","value":"https://datavlt.org"},{"id":"twitter_profile","value":"https://x.com/datavltai"},{"id":"telegram_profile","value":"https://t.me/DataVLTAI"},{"id":"blocks-changed","value":"tags, summary, image"},{"id":"wiki-score","value":"78"},{"id":"medium_profile","value":"https://medium.com/@datavlt"},{"id":"references","value":"[{\"id\":\"nwjQmxqNXK\",\"url\":\"https://datavlt.org/\",\"description\":\"DataVLT official website\",\"timestamp\":1756724085881},{\"id\":\"DSPRswUbkG\",\"url\":\"https://x.com/datavltai\",\"description\":\"DataVLT official X account\",\"timestamp\":1756724085881},{\"id\":\"WaO1ExJQNg\",\"description\":\"DataVLT Gitbook: Economic Model\",\"timestamp\":1757060641619,\"url\":\"https://datavlt.gitbook.io/datavlt/6.-datavlt-economic-model\"},{\"id\":\"ROhk31ryF4nDKnI9\",\"description\":\"DataVLT's gitbook\",\"timestamp\":1789727781271,\"url\":\"https://datavlt.gitbook.io/datavlt\"},{\"id\":\"jn3fnvt4d3\",\"url\":\"https://technode.global/2019/04/24/founders-interview-datavlt/\",\"description\":\"TechNode: Founders Interview\",\"timestamp\":1789747610310},{\"id\":\"daj3m9gbpo\",\"url\":\"https://www.prnewswire.com/news-releases/dvlt-ico-is-the-blockchain-solution-for-data-analytics-300692183.html\",\"description\":\"PR Newswire: DVLT ICO\",\"timestamp\":1789747610310},{\"id\":\"k8qca1b07q\",\"url\":\"https://bingx.com/en/learn/article/what-is-datavlt-dvlt-how-does-it-drive-autonomous-iot-evolution\",\"description\":\"BingX: What Is DataVLT (DVLT)?\",\"timestamp\":1789747610310},{\"id\":\"mjb604n9p1\",\"url\":\"https://www.a-star.edu.sg/artc/programmes_initiatives/artc-startup-challenge/2020\",\"description\":\"A*STAR ARTC Startup Challenge 2020\",\"timestamp\":1789747610310},{\"id\":\"3xyoyat1ia\",\"url\":\"https://www.coincarp.com/currencies/datavlt-org/history/\",\"description\":\"CoinCarp: DataVLT.org\",\"timestamp\":1789747610310},{\"id\":\"x850cyt7wz\",\"url\":\"https://ico.coincheckup.com/datavlt/\",\"description\":\"CoinCheckup: DataVLT ICO\",\"timestamp\":1789747796734}]"},{"id":"previous_cid","value":"QmYG7UVFVgaK3kbHguknoYqD9WdG9jJ6V4GKUf9UReftW4"},{"id":"commit-message","value":"Update DataVLT summary, expand content (+779w), add timeline, tags"},{"id":"previous_cid","value":"QmYG7UVFVgaK3kbHguknoYqD9WdG9jJ6V4GKUf9UReftW4"}],"user":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"author":{"id":"0x1E23b34d3106F0C1c74D17f2Cd0F65cdb039b138"},"views":437}