As a seasoned analyst with a background in both traditional finance and blockchain technology, I find this collaboration between Cenit Finance and Space and Time (SxT) to be an exciting development that could revolutionize the tokenomics space. The combination of Cenit’s robust tokenomics simulation platform with SxT’s verified on-chain data and advanced AI capabilities seems like a match made in digital heaven.
Image: Space and Tokens
Cenit Finance joins the Space and Time (SxT) product suite.
Following the collaboration, Cenit will rebrand its platform to Space and Tokens.
SxT is set to provide verified on-chain data for the new platform.
As a crypto investor, I’m excited to share that Cenit Finance, the decentralized tokenomics simulation platform I’ve been following, has made a significant move. They announced their inclusion into the Space and Time (SxT) product suite and a rebranding of their platform to Space and Tokens. This strategic step is aimed at boosting tokenomics for developers, offering them an advanced platform where they can design a strong token economy and a vesting schedule that aligns team, investors, and the community, ensuring everyone’s interests are in harmony.
In simple terms, the company SxT Labs – funded by Microsoft’s M12 investment arm – will offer reliable on-blockchain data to the platforms Space and Tokens. This is made possible through their verifiable computing layer. This enhancement aims to streamline the way developers create token economies using artificial intelligence and blockchain technology within the Space and Tokens ecosystem.
Upon becoming part of the SxT product family, Carlos Bort, Co-Founder of Cenit Finance and current Head of Web3 Data Solutions at SxT expressed:
“Uniting Space and Time presents a thrilling prospect for both Cenit’s clientele and our staff. For our customers, it means we can strengthen our tokenomics simulator by utilizing SxT’s robust, decentralized database of high-quality on-chain transactions to develop more accurate simulations.”
Elevating Tokenomics Simulation And Management
Space and Tokens’ advanced tokenomics simulator, which helps developers optimize their token utilization and distribution strategies by using a state-of-the-art tool, is what we refer to. Integrating SxT’s product suite will improve the accuracy of these simulations even more, as it uses SxT’s reliable computational layer. Now, platform users can forecast token behavior and market risks with greater precision, and create detailed analytics and visualizations for their token economy.
The radical improvements are powered by SxT’s verified on-chain data. As a pioneer in on-chain analytics, Space and Time provides developers and users with a no-code AI Studio, which allows users to generate insights and dashboards around on-chain activity easily. Additionally, SxT’s AI Studio simplifies the process of building onchain applications.
In simpler terms, “Bort” stated that they aim for a future where token economics can be constantly tracked, fine-tuned, and enhanced using live, authenticated blockchain information. Excitedly, as data enthusiasts, their team looks forward to collaborating with one of the top blockchain data companies. They are eager to utilize their AI skills and data knowledge to integrate with SxT’s platform.
As a crypto investor, I find it incredibly valuable that developers working on Space and Tokens projects have access to the robust data tools provided by SxT. These tools empower them to create smart contracts driven by data, thanks to the innovative Proof of SQL mechanism. This one-of-a-kind approach introduces a sub-second ZK coprocessor for trustless data processing at scale – an industry first that truly sets it apart.
From another perspective, Space and Time will gain advantage by adopting Space and Tokens’ meticulous tools for regulating and enhancing token economies. By combining Space and Tokens, developers now have the ability to create AI applications, intelligent contracts based on data, and intricate token economies – all within a single, validated platform.
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2024-08-20 19:07