Predictive AI
Image and Video Enhancement and Analysis Platform
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Alexander Friedrich Borschel

Predictive AI Protection - AI model Intelle protection, licensing, and chain of custody

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Predictive AI Protection helps organizations protect AI models, proprietary algorithms, digital assets, and sensitive files after deployment. Built originally to secure our own AI deployments forensics, and homeland security workflows, it evolved into a complete protection platform featuring encrypted distribution, licensing enforcement, offline deployment support, timed access controls, and chain-of-custody protection for critical digital or sensitive assets.

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Alexander Friedrich Borschel
Maker
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Hi Product Hunt I'm Alexander, founder of Predictive Equations. Predictive AI Protection started as an internal tool. We needed a way to protect AI models we were deploying through SignalForge and our AI-powered asset enhancement technologies used across CGI, gaming, forensics, and homeland security workflows. As we spoke with startup founders, investors, enterprise technology leaders, judges, forensic experts, prosecutors, attorneys, and law enforcement professionals, a common challenge emerged: how do you securely distribute valuable digital assets while maintaining controlled access and chain of custody? What began as AI model protection evolved into a platform for protecting AI models, proprietary algorithms, digital evidence, documents, media, datasets, and other intellectual property through encrypted distribution, licensing enforcement, offline deployment support, and timed access controls. The AI ecosystem has become incredibly good at building models. We believe organizations also need practical tools to protect them after deployment. I'd love feedback from AI builders, ML teams, startups, security professionals, and anyone responsible for protecting valuable digital assets. Happy to answer any questions throughout the day.
Pankaj Thakur
Maker

SignalForge and FrameHunter were built around a simple problem.

People working in investigations often spend days or weeks going through video footage and image evidence manually.

A single case can include security camera footage, phone recordings, screenshots, dashcam videos, and low-quality images collected from different sources. Most of the time, the footage is difficult to work with because it is blurry, dark, compressed, damaged, or buried inside hours of irrelevant material.

FrameHunter helps make large amounts of footage easier to sort through and review. SignalForge helps improve difficult visuals and pull attention toward details that may otherwise be missed.

The idea was never to replace investigators or overcomplicate the process with unnecessary AI features. It was built to help people save time, reduce manual work, and handle visual evidence more efficiently.

As more investigations become digital and manipulated media becomes harder to spot, tools that help professionals work with visual evidence carefully and responsibly will become more important.

SignalForge and FrameHunter were built with that reality in mind.

Oluwatobi Adetunji

Protecting IP after deployment is a different problem space that is often overlooked because everybody focusses on access control and forgets what happens once the code is out in the wild.

I'm curious if there is a specific way people try to attack this?