Artificial intelligence
Patents for AI and machine-learning companies
Protect the technical contributions behind your models, data pipelines and AI-powered products — not just the idea of using AI.
Get proposals for this industryCommon challenges
- Patent offices scrutinise software and AI claims closely; framing the technical effect matters
- Fast-moving field with a large volume of publications and open-source prior art
- Value often lies in system architecture and data processing rather than the model itself
Typical areas we assess
- Retrieval and ranking methods
- Privacy-preserving training
- Model monitoring and drift detection
- Multimodal processing pipelines
Where we look for inventions
Training and data pipelines
Novel ways of collecting, labelling, augmenting or validating data that improve accuracy or efficiency.
Model deployment and inference
Techniques that reduce latency, memory or energy use, or enable on-device and edge inference.
Applied AI systems
Specific technical integrations of AI into a product or process that solve a concrete technical problem.
Frequently asked questions
Can an AI model itself be patented?
Generally, abstract algorithms are excluded, but technical applications and implementations that produce a concrete technical effect may be patentable. Rules differ by jurisdiction.
Should we publish our research first?
Publishing before filing can destroy novelty in most countries. Talk to us before any public disclosure.
We do not guarantee that any patent will be granted. Grant decisions are made solely by the relevant patent office.
Find out what your company could patent
Start with a free, confidential assessment. No obligation until you sign a contract.