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Using a publicly available model does not rule out patent protection. The assessment turns on the specific improvements in processing, integration, control, training or inference, considered against the prior art and applicable disclosure requirements.

Bring an outline of the technical problem, data and processing flows, differences from existing approaches, comparative results and any planned disclosures or launch. Relevant papers and patent documents are useful. We can agree how to exchange more detailed materials after the initial inquiry.

There is no universal requirement to disclose all code or weights. The application must nevertheless explain the invention sufficiently, including information necessary to implement its essential features and support the claims.

Patent prosecution focuses on securing protection for your technology. FTO analysis assesses third-party rights in specific countries, at a defined time and for a particular product configuration. Owning a patent does not itself eliminate infringement risk.

Yes. Our work addresses data processing, training, inference and implementation across generative AI, manufacturing, medical imaging, biosignals and automotive radar.

It may lie in retrieval selection, evaluation, reranking, filtering, context construction or the transfer of information to the LLM. Distinctive methods of verifying or correcting output also merit analysis.

Explain the control flow: tool selection, task sequencing, API execution, user approvals, error handling, retries and output verification. These details help identify the technical contribution and the appropriate scope of protection to consider.