The transformer inflection
Attention-based neural architecture becomes the platform for a new generation of language and multimodal systems.
A sharper way to follow the ideas becoming defensible technology. Explore the companies, sectors and signals shaping the next era of artificial intelligence.
Open the patent watch ↓Patent activity is not a complete measure of innovation. It is, however, an unusually useful lens on where companies are putting legal, technical and commercial attention.
The AI patent race is shifting from foundational models toward practical systems: healthcare, transport, devices, chips and the workflows that make models useful.
Attention-based neural architecture becomes the platform for a new generation of language and multimodal systems.
LLM, prompting and synthetic-data filings multiply as chat-based AI becomes a mainstream product category.
Claims increasingly focus on deployment: edge inference, workflow automation, safety, devices and industry-specific systems.
Market framing is based on the patent landscape statistics cited by Precogniz and WIPO. Recheck source data before publishing time-sensitive claims. Read the WIPO landscape report ↗
These live research routes point readers to patent-search results for high-value AI themes. They are deliberately broad so the page remains useful as new applications publish.
Model architecture, tuning, inference, prompt workflows and synthetic data.
Perception, planning, simulation and safety claims for vehicles and robots.
Imaging, diagnostics, drug discovery and clinical decision support.
On-device intelligence, low-power inference and sensor-to-model systems.
Evaluation, alignment, monitoring, provenance and model security.
Accelerators, memory systems, model optimization and efficient compute.
Links take readers to Google Patents search results. Individual applications may be pending, granted, expired or limited by jurisdiction; search results are not legal advice.
Portfolio size is only one signal. The table below reflects the companies and positioning currently featured on Precogniz’s AI patent intelligence page; it is a starting point for research, not a quality ranking.
| Rank | Organisation | Active portfolio* | Signal |
|---|---|---|---|
| 01 | Samsung Electronics | 106,845 | Global volume leader |
| 02 | IBM Corporation | 37,407 | Strategic quality shift |
| 03 | Qualcomm | 29,746 | Edge AI leader |
| 04 | Microsoft | 29,640 | Infrastructure focus |
| 05 | Alphabet | 23,776 | LLM patent pioneer |
| 06 | NVIDIA | 8,550 | Fast growth signal |
*Portfolio figures are the 2025 figures currently published on Precogniz’s patent page and should be refreshed against the latest IFI Claims / WIPO data before being presented as current.
A published application may never become an enforceable patent. The most useful analysis separates a technical claim, a commercial direction and a real competitive advantage.
Is it an application, a granted patent, expired, abandoned, or part of a continuing family?
Claims define the legal boundary. The abstract is often a helpful but incomplete technical summary.
Continuation filings and international counterparts reveal where an idea is being defended and developed.
Compare filing patterns with hiring, research papers, partnerships and product launches before drawing conclusions.
AI patent coverage is at its most useful when it reports a signal clearly, acknowledges uncertainty, and never confuses a patent filing with a finished product or legal conclusion.
Many jurisdictions have held that a named inventor must be a natural person. This remains a developing policy and legal issue.
Patent documents are public records, but their content and status must be read in the applicable jurisdiction and context.
It is not legal advice or a freedom-to-operate opinion. Speak with qualified IP counsel for decisions involving rights, risk or filing strategy.