Tokenisation of Alternative Data
Improved Data Liquidity
Tokenized data makes data a liquid asset that can be easily bought, sold, or traded on decentralised marketplaces. Fractional ownership allows investors to access specific parts of data streams or segments without purchasing the entire dataset. This approach can help investors gain cost-efficient and precise access to the exact data they need, improving ROI on data purchases.
Democratization of Access
Tokenised data allows for decentralised access where any participant (including organisations and individuals) can access alternative data using a pay-per-use or tokenized microtransaction model. Broader participation can enhance competition, enabling smaller players to leverage unique data insights.
Transparency and Provenance
Data ownership, source history, and all transactions are recorded immutably on the blockchain. This proves the authenticity and provenance of the data, ensuring trustworthiness. Investors can verify data authenticity and make decisions with greater assurances.
Real-Time and Dynamic Data Access
Smart contracts enable automated, real-time delivery of dynamic data streams. Investors can subscribe to live updates based on specific conditions or triggers. Real-time access allows investors to act on timely insights and maintain a competitive edge, especially in fast-moving markets.
Reduced Reliance on Intermediaries
Tokenising alternative data eliminates traditional data brokers or intermediaries by connecting buyers directly with data providers in a peer-to-peer marketplace. Investors benefit from saving on intermediary fees and gain direct relationships with data providers.
Al-driven Real-time Analytics
Custom Software Development
Custom Software Development
Custom Software Development
Our team of expert developers can create bespoke software solutions tailored to the unique needs of your business. From concept to deployment, we work with you every step of the way to ensure your software meets your exact requirements.
Advanced AI Algorithms
Custom Software Development
Custom Software Development
Advanced AI techniques such as Natural Language Processing (NLP) and Machine Learning algorithms can be leveraged to derive actionable insights and generate analytics for investors.
Dashboard Analytics
Custom Software Development
Dashboard Analytics
By offering a customisable dashboard solution, investors can subscribe to live updates of on-chain analytics and timely insights based on specific predetermined conditions or triggers.