This company provides an AI-powered platform for digital content validation, specializing in detecting fraud and synthetic media like deepfakes in photos, videos, and documents. It offers APIs and tools to authenticate digital assets, helping industries such as insurance and cybersecurity mitigate risks and losses. The service automates content inspection to enhance trust and operational efficiency across various business workflows.
Funding
$3.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MFPAFounders
Product
Problem
The increasing sophistication and accessibility of generative AI tools have made it easier to create convincing fake photos, videos, and documents, leading to a rise in fraud, disinformation, and cyber threats across various industries. Detecting these manipulated digital assets is challenging, exposing organizations to economic losses, reputational damage, and security breaches.
Solution
Attestiv provides an AI-powered digital asset validation platform that verifies the authenticity of photos, videos, and documents in real time, helping businesses combat fraud and mitigate risks associated with deepfakes and manipulated media. The platform uses patented AI and tamper-proofing technology to analyze uploaded digital content, assigning a score that indicates the probability of fraud or manipulation. This enables organizations to automate content inspection, streamline operations, and build trust in their digital systems. Attestiv's solutions can be integrated into existing workflows through APIs and SDKs, allowing for seamless incorporation into various systems.
Target Audience
Attestiv primarily serves organizations in industries such as insurance, financial services, news & media, cybersecurity, and human resources, as well as other sectors that rely on the integrity of digital content.
Features
- AI-powered analysis of photos, videos, and documents to detect manipulations and deepfakes
- Real-time validation of digital assets via mobile devices, APIs, or a web portal
- Scoring system that ranks digital assets based on the probability of fraud or manipulation
- Automated flagging of suspicious content for further review
- API and SDK integration for seamless incorporation into existing workflows
- Sector-agnostic approach providing solutions for various industries
- Continuous updates to AI models to keep pace with emerging manipulation techniques