Curios is a creator-focused platform designed to overhaul digital content distribution by enabling creators to sell their work directly to fans while retaining 100% of their sales revenue. The platform supports a wide array of digital content, including music, audiobooks, ebooks, videos, comedy works, digital artwork, and event sales and ticketing.

It offers a direct purchasing model for fans allowing them to buy and permanently own content without recurring subscription fees. Fans can consume owned content via the Curios website or mobile apps, both of which support offline access. Curios emphasizes a transparent connection where creators own their fan data and intellectual property while maintaining compliance with the EU’s General Data Protection Regulation (GDPR).

The Curios platform provides tools for NFT creation and sales, cross-platform smart contract deployment, and white-label marketplace solutions. This allows creators to offer verifiably unique items and engage fans with unlockable content and secure airdrops. It also provides increased accessibility by enabling NFT purchases with fiat currency and traditional credit cards.

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Block Science

BlockScience, founded in 2017, is an R&D, engineering, and analytics firm that specializes in the design and analysis of complex systems. With an interdisciplinary team of engineers, data scientists, and social scientists, the company applies advanced mathematical and computational engineering to model, simulate, and design resilient socio-technical systems for a diverse range of clients, including for-profit companies, non-profits, and government organizations.

The firm's core service is providing a rigorous, data-driven approach to designing and validating economic and governance mechanisms. A key product in their toolkit is cadCAD, an open-source Python-based modeling framework they developed. This tool allows for the creation of "digital twins" of complex systems, enabling clients to simulate and test new business models, market designs, or automated smart contract logic before deployment. This approach is used to analyse system safety, resilience, and sustainability under various conditions.

BlockScience has a direct collaboration with Hedera and the Hedera Foundation to design and model innovative market mechanisms for renewable energy and other environmental assets. This work includes the development of Automated Regression Market Makers (ARMMs), a novel price discovery mechanism for semi-fungible assets like energy credits.

Atma

Atma.io, a venture by Avery Dennison, is a connected product cloud platform designed to bridge the physical and digital asset worlds by assigning unique digital identities to everyday items. The Atma platform enables end-to-end supply chain transparency via the Hedera blockchain, allowing businesses and consumers to track products from source to point of sale and beyond. It accomplishes this through the use of identification technologies such as RFID and QR codes to capture and manage vast amounts of data about individual product journeys.

A crucial component of Atma.io's architecture is its use of the Hedera Hashgraph distributed ledger technology (DLT) to ensure the immutability and verifiability of supply chain events and sustainability credentials. This provides a trusted layer for product authentication and helps combat counterfeiting.

Serving a multitude of industries, including apparel, retail, food and beverage, and pharmaceuticals, Atma.io offers solutions for enhanced inventory management, improved operational efficiency, and deeper consumer engagement. It can be utilized to share verifiable product origin stories, provide detailed sustainability information, and support circular economy initiatives.

Logstash

Logstash is an open-source, server-side data processing pipeline from Elastic NV. It ingests data from multiple sources simultaneously, transforms it, and then sends it to a chosen destination. It is a core component of the Elastic Stack, often used for centralizing and processing logs, metrics, and other event data.

In the context of the Hedera blockchain network, Logstash can be integrated using tools such as the logstash-output-hedera plugin. This specific Java Output Plugin is designed for the Hedera Consensus Service (HCS). It enables Logstash to send processed events or logs directly to an HCS topic. Users configure the plugin by specifying details including their HCS topic ID, an operator account ID, and the associated private key for that operator account. An optional submit key used for topic creation can also be provided, along with the target Hedera network, which can be "mainnet" or "testnet".

By using this plugin, applications can leverage Logstash's data collection and transformation capabilities to then record events onto the Hedera public ledger via HCS. This creates an immutable, verifiable, and timestamped log of the data, enhancing transparency and auditability for any system employing this integration.

DTCC Digital Assets

The Depository Trust & Clearing Corporation (DTCC) provides post-trade clearing and settlement services that ensure the stability and efficiency of trading activity. As one of the premier financial market infrastructures over the past 50 years, DTCC processes trillions of dollars in securities transactions daily, offering a range of services that automate, centralize, and standardize the processing of financial transactions to mitigate risk and reduce costs.

DTCC’s Digital Assets is a business unit dedicated to bridging the gap between traditional financial infrastructure and the emerging digital asset ecosystem. Its key services include the DTCC Digital Launchpad, an open ecosystem for collaboration on digital asset adoption, DTCC ComposerX, an end-to-end platform for managing the entire lifecycle of digital assets, and the Collateral AppChain, which provides scalable, tokenized collateral management.

As a founding premier member of the Linux Foundation's LF Decentralized Trust alongside Hedera, DTCC is actively involved in shaping the future of open-source, decentralized technologies.