# MeDDEa facts

MeDDEa expertise is in building Dynamic Data Ecosystems.

MeDDEa provides expertise and technology which allows to build cross-governance data ecosystems.

MeDDEa is swiss-based company

MeDDEa provides components for data security, data integration and data veracity.

MeDDEa provide enables new business models in digital economy

MeDDEa is spin off from Huma Colossus Foundation and working closely on open source standards contributing back to the community.

MeDDEa provide you some information what MeDDEa is offering. MeDDEa have two vertices one is consulting which span across all topics of Dynamic Data Economy and commercialization of decentralized technologies in area of integrity, authenticity and veracity. We can help to find solution for problems which is hard to solve in centralized manner or impossible/hard to implement in multi-stake governance ecosystem

# MeDDEa product line

MeDDEa offering:

- "Zero Trust Registry" - truly decentralized, distributed governance system to create any type of verifiable credentials registry. It leverages KERI and Transaction Event Log to provide solid, secure and privacy preserved infrastructure for any type of the use case. "Zero Trust Registry" is of the shelf components which can be easily integrated in existing infrastructure enhancing your current business logic with high security and flexibility by connecting to various governances like vLEI (GLEIF) or national identity system (eIDAS), reducing onboarding time, saving costs on Know Your Customer (KYC) and Know Your Business (KYB).

- Identity Solution - We provide core components to enhance your application with decentralized identity. These components can be easily integrated into existing web or mobile applications, allowing your users to benefit from possessing decentralized identifiers. Use cases such as banking apps or national applications for citizens can be enhanced with digital identifiers, enabling users to participate in the digital economy with assurance about their sovereignty.
- Witness infrastructure - we provide infrastructure components which can scale, for you, your users or your employees allowing them to leverage decentralized identity for digital interaction. With just few steps your can integrate Witness network using our witness infrastructure components within your business model and infrastructure. Witness network gives you an edge with your competitors, allowing you to provide latest security features to your customers, faster onboarding, privacy enahnced services, secure communication channels, fast verification, global reach, cross jurisdiction reach.
- Watcher infrastructure - we provide infrastructure components which can scale, for you, your businesses, your users, national services. With just few steps you can integrate watcher network as part of you services, enhancing your business value proposition by acting as reputable entity within your ecosytem. You would protect all your customer from fraud, scam, phising attacts and more. Your bring higher security standarads within your ecosystem and create safety net for all digital interaction.
- Ambient duplicity detecation - we provide you ready to use ecosystem enabling of detection of duplicty. The benefit of this approach is that it provides a decentralized means of verifying the consistency of identity records without relying on a central authority, thus enhancing security and trust in the system. This is particularly important in scenarios where high levels of assurance and tamper-evidence are required, such as in financial transactions, digital identities, and other sensitive applications​
- Time Stamping Authority (TSA) infrastrucuter, build on decentralized identity system, TSA allows you to issue time stamps, verify them and increase security in digital interaction by providing mean of when it happened over time. You can act as reliable part of the infrastructure within use cases like Lega Evidence, Document integrity, Digital Signatures, Digital transactions (asset exchange), digital event tracking, enhanced auditing and tracability in supply chain.
- Digital forms - off the shelf product to allow to capture harmonzied data in digital form. Tooling provides you easy way to define compliance requirments into semantic and then automatically generate user friendly forms to collect their information for variouse use cases like: service intervention, patient onboarding, user onboarding, maintenance protocls, proof of work, incident events, surveys. All that with harmonized mechanics which increase reusability and accessibility of collected data. Semantic behind the forms allows to move between different data sources, standards and more. Digital forms works in online and offline mode. Increasing aviability of your solution even in harsh environments. Digital signatures integrated with decentralized identity allows you to keep track of the orgin of the information, multiple workflows allowing to define business logic within the forms which can many scenarios of multiple approval process or complex busines logic. Split of semantic, presentation and business invariants allows easily to adopt forms to different jurisdictions, business conditions or languages or interfaces. Adopting the forms to the needs of the operator without loosing semantic harmonization which improve reasuablit and make digiesting those information way simpler. content centric approach does not required any identity management system which makes is super easy to deloy in multi governance environments. Digital forms easily integrate with ISO 15489 providing you basic infrastructure to assure about compliance on many levels. Seemles integration with Semantic Repository make it power full tool for complex data ecosystem where a lot of data is captured for purpose of further processing in secure and privacy preserved way. Harmonization and tracability of semantic through whole life cycle allows you to easily comply with regulation like GDPR where in a blink of eye you would find where the informaton is used and stored.
- Semantic repository - is an infrastructure and a set of components that allow you to easily manage the semantics for any type of data within your organization. Built-in integrity and leveraging the Overlays Capture Architecture (OCA) provide schema lineage and translation mechanisms for data and schema across various standards. It simplifies data modeling and schema design, enhances the reusability of objects, and allows for multiple governance structures over different parts of the semantic object. This makes it ideal for complex ecosystems where semantics are not always defined by a single entity. Provenance and reputation build brings higher security within your data ecosystem and brings clarity over where and what information are used within organization or ecosystem. Semantic repository allows you to build federated catalougs and make data discoverability way simpler across distributed, federated or centralized ecosystems.
- Data Vault - components allowing you seamless integrate variouse data sources leveraing semantic repository. Discovering, storing and retriving information never was easier. Semantic driven design allows you easily to share your data, feed not only the data but as well context, relability, measure relevance of specific data sets. Simple API integrates with all known data storages acting as transparent layer on the messing data sets which you would like to harmonize, reducing the costs of investing in massive activities related with cleaning the data.
- The Governance Suite is a cutting-edge product designed for organizations seeking to elevate their governance practices. It enables continuous governance by redeploying rules, incorporating feedback loops, and quickly adapting to constantly changing regulations. This agility provides a competitive edge and boosts business efficiency. The suite is built on a decentralized identity solution, allowing interaction within a cross-governance ecosystem and validating those interactions across multiple governance frameworks. It facilitates the creation of custom governance frameworks, making the implementation of consent management, access management, and credential issuance seamless and straightforward. The Governance Suite integrates smoothly with existing infrastructures, ensuring minimal disruption to daily operations and allowing for gradual implementation. Setting rules, policies was never as simple, deployment of new regulation across whole organization can be done in dasy instead of months. Purpose driven data ecosystem allows you to track consents and veracity of any type of the information making your business less prone to make mistake or loose time on evaluation what is allowed and by whom.

## Supporting paragraphs

### vLEI, GLEIF

The Verifiable Legal Entity Identifier (vLEI) is an advanced digital identity credential for organizations, developed by the Global Legal Entity Identifier Foundation (GLEIF). It builds on the traditional Legal Entity Identifier (LEI), which provides unique identification for entities involved in financial transactions, by adding a layer of verifiability and automation in the digital realm.

The vLEI serves as a digital counterpart to the LEI, ensuring that an organization's identity can be electronically verified without human intervention. This is achieved through cryptographically protected digital certificates known as verifiable credentials (VCs). These credentials can authenticate an entity’s identity and its eligibility for digital transactions, making them more secure and tamper-resistant compared to traditional methods

Key features and components of the vLEI system include:

* Official Organization Role (OOR) Credential: This links individuals to organizations based on official capacities, such as CEOs or Directors, providing a verifiable digital attestation of their association with the organization.
* Engagement Context Role (ECR) Credential: This allows organizations to define custom roles based on specific contexts or engagements, such as "Supplier to" or "Partner with" .
* KERI Protocol: The Key Event Receipt Infrastructure (KERI) protocol ensures the integrity and interoperability of vLEIs across different platforms and systems, supporting a trustworthy chronological record of an entity’s identity.

The vLEI system aims to streamline various business processes by reducing the time and resources needed for identity verification, enhancing security in digital interactions, and enabling automated, trusted business transactions globally

## KERI roles

Controller: The entity that controls an Autonomous Identifier (AID), which is a cryptonymous identifier. The controller holds the private keys associated with the AID and is responsible for managing its key events.

Witness: A service that observes and signs key events for an AID. Witnesses provide a level of assurance that key events have not been tampered with and are distributed across the network.

Watcher: Entities that monitor the key events and the signed receipts from witnesses. They ensure that the first seen event is considered the valid one, and any subsequent conflicting events are deemed invalid.

## OCA

The Overlays Capture Architecture (OCA) is a sophisticated framework designed for data capture, management, and interoperability. It was developed by the Human Colossus Foundation to address the complexities of data standardization and ensure accurate data interpretation across different systems and contexts.

use cases for multi stakeholder governance over semantic:

Healthcare Systems:

Electronic Health Records (EHRs): Different healthcare providers, insurance companies, and regulatory bodies often use various standards and terminologies to describe medical records, treatments, and patient data. Managing the semantics across these different systems requires robust mechanisms for data integration and interoperability.
Clinical Research Networks: Collaborations between hospitals, universities, and pharmaceutical companies involve the exchange of clinical trial data, which must be harmonized across different data standards and regulatory requirements.
Financial Services:

Banking: Banks, regulatory agencies, and financial institutions often have their own data models and standards for transactions, compliance reporting, and customer information. Integrating these disparate systems necessitates a common semantic framework.
Insurance: Similar to banking, insurance companies interact with various entities like healthcare providers, clients, and regulatory bodies, each with its own data semantics.
Supply Chain Management:

Global Trade: Involves multiple stakeholders, including manufacturers, suppliers, logistics providers, and customs authorities. Each stakeholder might use different data formats and standards, requiring a unified semantic approach to ensure smooth information flow.
Agriculture: Producers, distributors, retailers, and regulatory agencies all need to share data about products, quality, and compliance, often using different terminologies and standards.
Smart Cities:

Urban Infrastructure: Integrates data from various sources like transportation systems, utility providers, public safety departments, and environmental monitoring systems. Each source might have its own data semantics, necessitating a comprehensive framework for integration.
Public Services: Services such as waste management, water supply, and emergency response involve multiple entities, each with their own data systems and standards.
Education:

Higher Education Institutions: Universities and colleges often have to integrate data from different departments, research collaborations, and external partners like accreditation bodies and funding agencies. Each entity may use different data standards.
Online Learning Platforms: These platforms collaborate with various content providers, educators, and learners from different regions, all of which may use different terminologies and standards for educational content and assessment.
Government and Public Sector:

Inter-agency Collaboration: Different government departments and agencies often have to share data for policy-making, law enforcement, and public services. Each department might use different data standards and terminologies.
International Organizations: Organizations like the United Nations or the European Union involve member countries that use various data models and standards, requiring a unified approach for effective data sharing and decision-making.