PatDocs is a first-of-its-kind patent data platform for all IP professionals that utilizes proprietary artificial intelligence developed by Minesoft, designed to complement advanced patent database search platforms such as PatBase.
PatDocs unique platform enables:
1. Technical experts can utilize Minesoft’s AI “quantity searching” module, which uses natural language search queries and PatDocs unique AI interpretation to detect and understand quantities e.g. length, mass, temperature. All quantities with compatible units are automatically searched. This makes searching for quantities frictionless, no matter value system input.
For example, a search in pascals(pressure) may find results given in N/m2, mm Hg, millibar etc. The context for some quantity types is captured e.g. “Fe: 1-20 wt%” allows searching for iron-containing alloys, while other scenarios can be handled by user-provided proximity queries e.g. “10-14 volts” within n words of “battery”.
2. IP administrators can download an unlimited number of patent PDF complete files, just the front page and easily share or upload.
3. IP paralegals can download an unlimited number of global patent machine-translated documents from over 25 jurisdictions into English. PatDocs saves time and money by enabling users to quickly download and import translations into their preferred IP Management System.
4. IP lawyers can monitor the four key PAIR data points: legal status, file history,transaction history, and continuity on a daily, weekly, monthly or quarterly basis only receiving a notification when a change occurs and with links to legal status and family trees.
5. IP licensing executives can generate global patent family trees with one click to present a birds-eye view of all patent family relationships including unpublished applications in a genealogy tree that is easy to interpret, annotate and share.
Chemical Explorer is Minesoft’s dedicated solution for chemical searching within patent documents. It is a database of chemicals extracted from the full text and images of patent documents. New chemicals are indexed every day from new patent documents, whichis a huge benefit compared to the manual extraction processes usually used inthe chemical domain.
Coupled with the natural language processing solution, TextMine, which simplifies identifying key terms/concepts within long patent texts, this is an ideal solution for chemical researchers to find relevant mentions of chemical and technical information quickly.
Artificial Researcher is an information technology company and a start-up in the text mining industry. We are specialists in developing novel and innovative cross genre scientific text mining systems tailored to the needs of researchers and information search professionals, such as client customized indices for local deployment.
Part of the text mining technology was developed during our CEO Linda Andersson's PhD work at Technical University of Vienna (TU Wien), for example the passage retrieval, the automatic query formulation, and a merging method of document index and paragraph index. Our system solutions offer our customers and clients a market advantage, we reduce their efforts in terms of time spent searching and reviewing information.
Amplified was built to make working with patent information simpler and more effective. By reading full text and leveraging data such as examination history, Amplified learns what patents mean not just what they say.
Our deep learning AI has been trained on over 140 million records so you get get professional grade results without complex queries and distracting noise. Just describe an idea in plain language or enter a patent number. Powerful filters make it easy to direct search results to particular technical features for maximum control and efficiency.
Amplified also makes it easy to access your previous work by keeping the data you review organized and searchable. Add notes and annotations, keep track of patents you've seen before, and collaborate with your team on shared projects.
IPRally offers a completely new way of searching patents: Knowledge graphs and supervised deep learning AI.
All features of +80M prior art specifications and claims are automatically extracted into a graph format and the AI trained to compare an input graph with the pre-converted prior art graphs. The deep learning AI is trained with real Patent Examiner citations to find the most relevant pieces of prior art. You can focus on the core of the technology of interest and let the AI do the tedious feature matching with deep level understanding of technology.
An intelligent search engine that thinks like a patent professional is born.
Offers a global IP database along with AI-powered tools customized to various workflows including prior art search, IP landscaping, patent categorization, technology tracking, competitor analysis, IP commercialization, and automated patent alerts. Ideal for IP professionals in corporations, IP law firms, R&D firms and academic institutions. The tools include Novelty, Tech Tracker, Categorizer, Tech Explorer, and Enterprise WebTool.
Relativity makes software to help users organize data, discover the truth and act on it. Their newest solution, Relativity Patents, brings the world’s leading legal platform to patent search and analytics. Run searches yourself, or have the Relativity team run them for you and deliver high quality results in 1-2 days. Relativity has more than 300,000 annual users in 48+ countries, serving thousands of global organizations in legal, financial services, and government, including the U.S. Department of Justice and 199 of the Am Law 200.
Making Prior art search accessible to all
PQAI is a collaborative open source initiative to build a shared AI-based prior-art search tool. At PQAI, we envision a prior art search engine that is:
The vision is big and it can’t be realized without community support from across the globe. Here is how you can help support the project:
If you wish to participate in this initiative, kindly write to email@example.com
Sam Zellner, a prolific inventor, retired executive director innovation at AT&T is the product lead for PQAI.
DorothyAI was founded by patent lawyers with nearly 50 years of combined experience who saw the value of patent searching and knew there was a better, more secure way to find relevant patent information than outsourcing. We use cutting edge natural language processing and machine learning to query the world’s patent database and identify relevant patent publications using an intuitive user interface.
Our mission is simple: produce affordable and efficient patent search products that work for practitioners, save outsourcing costs, and give time back to practitioners to work on high value projects that generate profits and impress clients. We are committed to producing user friendly products, and providing excellent user support to back them up.
Intellar.com competitive intelligence dashboards are from the world-leading IP strategists at Perception Partners. Intellar® dashboards continuously automate the monitoring & market analysis of emerging technologies, global IP and organizational business milestones in a unified and secure cloud platform for teams.
Intellar contains custom curated, categorized and cleaned big data (from any source) for IP, R&D and M&A decision-making. Experts design rules, training patterns and taxonomy categorization logic that is learned, applied and maintained by machines. Experts remain in the loop to quality check, update and adjust content as team strategies and industry vocabularies evolve.
Intellar's transparent logic - tailored to each client's global point of view - delivers the most trusted and complete global datasets that technology business teams require. Intellar can analyze, visualize and build slide-based stories on demand to support patent portfolio management, technology scouting, open innovation, IP valuation, competitor assessment, freedom to operate, licensee identification and acquisition due diligence.
Dashboard users can comment, vote and tag records in context. Tags are "learning enabled" in that they understand how a user reached the tagged set, and tags are re-applied as data is updated. Other invited users can filter on any other user's markup. Analytics throughout Intellar can be instantly filtered and rapidly exported to PowerPoint slide templates or linked Excel downloads. No user data is trapped in the software.
Get your tech-investing team members on the same page now, with a custom Intellar dashboard. Or, request a free trial from our Intellar Library, which uses pre-made dashboards to track more than 20 of the world's most important emerging technologies every month.