AI & Machine Learning
Protect AI Models & Algorithms Without Disclosure
AI innovation moves faster than patent offices. Blockchain timestamps let you prove ownership of models, algorithms, and training data in 60 seconds — keeping your competitive edge secret.
$15.7T
Projected AI economic impact by 2030
87%
Of AI IP is protected as trade secrets
3-5 years
Average AI patent grant timeline
60 sec
To timestamp with immut
The Challenge
Why AI Companies Struggle to Protect IP
Traditional IP frameworks were not designed for rapidly iterating AI systems.
Patents Require Disclosure
Filing a patent means revealing your algorithm publicly. For AI companies, this hands competitors your innovation on a silver platter.
Rapid Iteration Outpaces Filing
Models are retrained weekly. By the time a patent is granted, the protected version is obsolete. You need protection that moves at AI speed.
Proving Priority Is Difficult
When two teams develop similar models, proving who built it first is nearly impossible without timestamped evidence of your development process.
The Solution
How immut Protects AI Innovation
Timestamp every model version, dataset, and algorithm iteration — without revealing a single line of code.
Model Version Control
Timestamp each model checkpoint and iteration. Create a verifiable history of your AI development that proves continuous innovation.
Training Data Provenance
Prove ownership and collection dates of proprietary training datasets — critical for licensing disputes and regulatory compliance.
Algorithm Documentation
Timestamp architecture documents, Jupyter notebooks, and research notes. Build an evidence trail from concept to deployment.
Trade Secret Reinforcement
Blockchain timestamps strengthen trade secret claims by proving when confidential AI assets were created, without any public disclosure.
Real-World Scenario
How an AI Startup Uses immut
A computer vision startup develops a novel image recognition algorithm that outperforms existing solutions by 40%. They timestamp their model architecture, training code, and benchmark results through immut before pitching to investors.
Six months later, a well-funded competitor launches a suspiciously similar product. The startup produces their blockchain-verified timestamps proving their algorithm predated the competitor's launch by eight months.
The evidence is strong enough to negotiate a licensing agreement worth £1.8M — without filing a single patent or revealing their source code in court.
FAQ
Common Questions About AI IP Protection
Can you patent an AI algorithm?
AI algorithms face significant patentability challenges. In many jurisdictions, abstract mathematical methods and software are difficult to patent. Blockchain timestamping provides an alternative: proving you developed the algorithm first without requiring disclosure or patent filing.
How do you protect AI model intellectual property?
The most effective approach combines trade secret protection with blockchain timestamps. Keep your model architecture and weights confidential, then timestamp your code, training data, and model checkpoints to create verifiable proof of when they were created.
What AI assets can be timestamped with immut?
Any digital file: model architectures, training code, datasets, model weights, research papers, Jupyter notebooks, configuration files, API documentation, and more. immut never sees your files — only an encrypted hash is stored.
Is blockchain timestamping legally valid for AI IP disputes?
Yes. Blockchain timestamps are accepted as evidence in UK, EU, and US courts. They provide tamper-proof, independently verifiable proof of when your AI innovation existed.
How much does it cost to protect AI intellectual property?
immut timestamps start from £10 — 99.5% cheaper than patent filing. AI companies can protect every model iteration, dataset version, and algorithm update affordably.
Ready to Protect Your AI Innovation?
Join AI companies using blockchain timestamps to secure models, algorithms, and training data — without filing patents or disclosing code.
Protect every model iteration for less than a single patent consultation