Capture for Fashion

Capture's products ensure the authenticity and traceability of AI-generated content, offering solutions that guarantee data protection and transparency. Helping to fuel the expansion of AI with safety and confidence.

Artificial Intelligence

Discover the provenance of generative AI works

Authenticate AI content

Authenticate AI-generated content, establishing unique digital certificates for each item and distinguishing AI-generated content from human creations.

Transparency and traceability

Create a traceable and transparent environment for your AI operations. Capture's provenance capabilities provide an open-source solution to track and validate every piece of data, boosting stakeholder trust.

Copyright protection

Protect your AI-engineered products and services & ensure the IP of your AI-generated content, preventing unauthorized use and profiting.

Customer Story

How to Create Traceable Generative AI in an Era of Untraceability

How to Create Traceable Generative AI in an Era of Untraceability

Security & Compliance

Capture solution prioritizes your security and compliance needs and is certified by ISO 27001 security standards. Compliant with C2PA and EIP-7053 standards, Capture is also built on the blockchain with net-zero emissions, offering you a secure, trustworthy, and eco-friendly solution for your operations.

Frequently asked questions

What is Capture?

Capture is a provenance infrastructure that authenticates and tracks digital assets using C2PA and blockchain technology, offering a go-to solution for brands, individuals, and organizations. By providing a tamper-proof history of digital content, Capture not only ensures authenticity but also opens avenues for monetization through non-fungible tokens (NFTs). Capture's vision is to build a transparent and secure digital ecosystem, setting the stage for innovative applications in personalized AI and the broader digital landscape.

What's the difference between Numbers and C2PA?

Numbers and C2PA both offer innovative solutions to the challenge of digital media provenance, each with its own unique advantages. By utilizing both approaches, you can create a more comprehensive and reliable digital media provenance system.

Numbers offers an open-source specification for securely storing metadata for digital media on the blockchain. This decentralized method ensures immutability and adaptability for a wide range of data file types. Furthermore, its Web3 foundation paves the way for enhanced asset monetization opportunities.

On the other hand, C2PA offers an open spec to store metadata within the digital media itself. As long as you have access to the correct C2PA file, you can obtain its complete history. The downside is that it can be more challenging to share this information, as details can be easily missed. Our API enables seamless integration by allowing users to upload files to the decentralized web, inject C2PA metadata, and establish blockchain provenance all at once.

Digital media provenance has long been a complex and enduring challenge, prompting the development of various solutions to address it. C2PA tackles this issue by embedding metadata directly into the file, whereas Numbers Protocol employs a Web3 strategy, establishing an open and decentralized network. Harnessing the strengths of both solutions is essential for effectively combating the digital media provenance dilemma.

What is Numbers Protocol's role in the AI space?

Numbers Protocol has been focusing on merging blockchain robustness with AI adaptability, an important use-case not only in enhancing digital media management but also in the ethics of content creation and data mining. One of our key initiatives includes our partnership with AI platforms and entities like Instill AI. This collaboration is significant in enhancing our services, notably in the areas of digital media provenance and ethical AI development.

So how does it works?

With the help of ERC-7053 and ERC-7517, both an initiative started by the founders of Numbers Protocol.

ERC-7053 plays a critical role by providing an efficient method for indexing digital media on blockchain platforms. This interoperable digital media indexing facilitates the organization, retrieval, and traceability of digital media information, which is essential in the context of AI-driven data analysis and content creation.

ERC-7517 focuses on content consent for AI/ML data mining. This standard allows content creators to declare their preferences on how their digital assets are used in AI/ML contexts. By incorporating this, Numbers Protocol ensures that creators' rights are respected in the age of generative AI, aligning with ethical guidelines for digital content use.

The integration of ERC-7053 and ERC-7517 in AI platforms collaborating with Numbers Protocol ensures that as the capabilities of AI continue to grow, there is a strong foundation for managing, indexing, and ethically using digital content. Numbers Protocol's endeavors in this space not only contribute to the advancement of blockchain and AI technologies but also bring the trust of digital media back to creators and consumers. So, the next time you see a digital media deployed on platforms partnering with Numbers Protocol, you won't have to ask, "Is this image/video real or not?", "Is this AI-generated content?", or "Can I trust the source of this image?". All of it will be transparent!

More questions?

Please visit the FAQ page or contact us directly.