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Make Your
AI Verifiable
With Trusted Data

Trust is the most important currency in your business. Take it seriously.

Challenge

AI Reliability: Misinformation At Scale

Artificial Intelligence faces several pressing challenges that undermine its reliability and impact. Generative AI content enables misinformation at scale, adversely influencing politics, markets, and even personal lives.



The publication of outputs from biassed datasets through social media exacerbates this problem, creating a feedback loop of increasing bias and moving further from truth and accuracy whereas trusted entities such as traditional news organisations suffer revenue losses due to the confusion in content authenticity. In addition, the reliance on synthetic data in training models can lead to total model collapse as machines end up recycling their own data, compromising the integrity of the AI.  As such, we need a way to clarify the source of content in AI models. 

With just 7% synthetic data, these models risk collapse within a year.

Add trust into your AI model’s information supply chain

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privacy-preserving

Key Offerings

Personal AI Agents

Give AI agents a portable reputation they hold without needing a third party to authenticate them. Legitimise the role of AI agents.

Localised clustering, compliance and energy

Enhanced sustainability by complying with regulations. Distributed networks are competitive in speed and performance.

Content Credentials

Enable IP holders to correctly label content as their own, and easily show if a content was AI-generated or not.

Verified data-sets

Issue credentials to prove the quality of your data-sets. Make sure that your AI models are trained on verified datasets in which the characteristics and biases of data are defined and known.

Proof of personhood

Verify an individual’s humanness and uniqueness. Safeguard against fraud and bot manipulation.

Introducing Verifiable AI

Guardians of Truth

The ebook aims to make the case that any AI strategy must be backed up by a Verifiable AI framework to instil trust. This is brought together using Verifiable Credentials and Decentralised Identifiers technologies.
cheqd vAI eBook cropped

privacy-preserving

Why cheqd?

Here at cheqd, we have been working on Verifiable Credential technology for over 3 years. We have done seminal work in the creation of trust registries and helped to create the w3c standards on which Verifiable Credentials are based.

Our products are fully compliant with eIDAS2 EU regulations on identity and we are in the process of becoming an EU-recognised Electronic Distributed Ledger. As well as being fully compliant, we are one of the most interoperable DID methods on the market, meaning our Verifiable Credentials can interact with multiple DID networks, and we have the capability of enabling payments for microtransactions.

In addition, our unique privacy-preserving payment rails for Verifiable Credentials unlock the possibility of new commercial models for trust anchors involved in the issuance of Content Credentials along the AI information supply chain.

Get in touch

Partner with cheqd

If you are an SSI Vendor, Consultancy, Enterprise, Government agency, or a Web3 company contact us for a discovery call so we can learn about your use case, problem statements, and get you set up with cheqd.

Verifiable AI eBook

The ebook aims to make the case that any AI strategy must be backed up by a Verifiable AI framework to instil trust. This is brought together using Verifiable Credentials and Decentralised Identifiers technologies.



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