The startup offers a distributed asset digitization platform that cryptographically bundles transactions and anchors them to a blockchain, ensuring data integrity and verification on demand. This technology enables organizations to easily detect and deter data tampering, enhancing the security of their digital assets.
Funding
Funding not disclosed
Founders
Product
Problem
In the current digital environment, the proliferation of misinformation, deepfakes, and AI-generated content is eroding trust in data, journalism, and business transactions. Traditional verification methods are often insufficient to combat sophisticated fraud and manipulation techniques.
Solution
Cryptowerk offers a blockchain-powered data integrity platform that provides tamper-proof verification for digital assets. Its RealitySeal™ technology creates immutable cryptographic fingerprints of data, AI-generated content, documents, and media. These fingerprints are anchored to multiple distributed ledgers, enabling instant verification of authenticity without reliance on central authorities. Cryptowerk's solution helps businesses, journalists, and AI developers prevent fraud and ensure data provenance with court-admissible, cryptographically secured evidence. The platform integrates into existing workflows via APIs, web apps, and enterprise platforms.
Target Audience
Cryptowerk's primary customers include investigative journalists, cybersecurity and cyber insurance providers, AI and machine learning developers, and enterprises in finance and other sectors requiring verifiable data integrity for compliance and regulatory reporting.
Features
- RealitySeal™ technology for creating tamper-proof cryptographic fingerprints
- Scalable blockchain anchoring to multiple distributed ledgers (e.g., Ethereum)
- High-speed API integration with existing enterprise systems like SharePoint and cloud platforms
- Support for various digital assets, including AI-generated content, news media, and business transactions
- Court-admissible proofs for establishing data origin, authenticity, and provenance
- AI content provenance to ensure AI-generated images, text, and videos are authentic and traceable
- Machine learning model sealing to prevent post-training tampering