IPscreener is an AI driven platform to help everyone to explore and understand the treasure of knowledge hidden in patents. Whether you are looking to get insights to related technologies, validate your ideas or to overview market trends, this is the solution to support your R&D and business development.
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global patent family trees with one click to present a birds-eye view of all patent family relationships including unpublished applications in a genealogy tree that is easy to interpret, annotate and share.
PatBase is a leading global patent search and analysis platform hosting millions of patent documents from all around the world! The online solution simplifies patent searching by providing a wide range of tools and features to support research and sharing information.
Machine translations are embedded in the search and review functions, breaking down language barriers to unlock crucial patent text understanding. The Machine translations are often available on the same day as new patent documents. Minesoft’s PatBase partner RWS, a leading translation company, is constantly improving the quality of Machine Translations on PatBase.
PatBase’s Smart Claims viewer uses an AI-enabled technique to recognize Independent and Dependent claims in Patent full text helping users jump between claims to review. Independent claims can also be searched from the search forms or command line for finely targeted research.
PatBase Analytics is included in the PatBase, which uses AI technologies to generate automatic charts summarizing key trends across any number of patent documents loaded from PatBase. The rendered visual charts, diagrams, heat maps and clusters can be exported and shared to support strategic discussions.
Understanding which of your competitors own patents relating to your technologies is key to any competitive intelligence function. Cipher automates the analysis of competitive intelligence to support strategic patenting decisions. Cipher has a range of benchmarking metrics and has been optimised for analysing competitors and new entrants using your technology lens.
Take your patent research to the next level
Looking for a smarter way to search, analyse and collaborate on worldwide innovation data? We have got you covered!
Working with patent information has typically involved tedious processes and juggling large amounts of data. PatSeer takes the ‘tedious’ out of the equation and brings you an AI-driven approach to searching, analyzing, reporting, collaborating, and managing patent data projects.
It’s simple, smart and powerful enough to impress the pro’s. Don’t take our word for it…try it to see for yourself
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.
AI-assisted Patent Search Platform for Professionals
Ambercite discovers patents missed by conventional approaches, enhancing your every Prior Art, Validation or Licensing search.
Find, score and rank patents, at industry leading speed and ease
Ambercite and AmberScope provide you with a clear ranking of the most similar patents to your set of starting patents. A unique way of reviewing results let’s you integrate Ambercite easily into your existing workflows. We also give you power to optimise your results through an intuitive, iterative, approach
Reduce risk, discover patents often missed by tools based on keyword, semantic, and class code searching
Standard patent search software – relying on keywords, semantics and translation - can be notoriously inexact, time consuming, expensive and still miss important patents. By contrast, Ambercite’s ground-breaking engineering applies advanced network analytics algorithms and deep learning to our global database of over 175 million patent citations, and then uses unique data visualisation to deliver you the most similar and relevant patents in seconds.
SciFinder, produced by Chemical Abstracts Service (CAS), is the most comprehensive database for the chemical literature, searchable by topic, author, substances by name or CAS Registry Number, OR use the editor to draw chemical structures, substructures, or reactions. It's a core research tool for chemistry, biochemistry, chemical engineering, materials science, nanotechnology, physics, environmental science and other science and engineering disciplines.
Powered by a natural language processing engine searching is as simple as completing the sentence "I am interested in..."
Fovea IP was created in 2015. It is a global platform which provides professionals with industry-beating IP solutions. Thanks to the use of AI technology Fovea IP offers the best quality, speed, and costs possible for searching and watching.
Solutions provided are completely flexible depending on client preferences: clients can either have unlimited access to the online platform or can order their solutions from expert analysts, as well as receiving full support when needed.
For an example of conducting a trademark landscape analysis in four steps see this video.
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.
Based on our proprietary technology we harvest e.g. market and company financials, online news, social media like twitter, Instagram, blogs and even more data.
By decoding semantic structures and linking independent data sources, we provide you actionable insights to identify trends, opportunities and risks.
We deliver continuous monitoring and generate specific reports and recommendations to foster your strategic activities.
NLPatent is a next gen prior art search platform that was built from the ground up using the latest AI. The search process is uniquely centered around iteration and refinement. It puts you on the right path immediately by eliminating irrelevant results, and gives you the tools to further refine until you find exactly what you're looking for.
The NLPatent platform allows users to organize searches by project, classify input by technology area, filter and refine results, save and delete prior art, write notes, generate Word and Excel summaries, and much more.
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.
PatentID reduces the need to be a domain expert in terminology by instead learning from all documents you express interest in to determine right terms and their relative importance to you. This includes not only patents of interest, but any description of interest (prior patent, product specification, client interview, etc). This eliminates the need to manually create iterative search expressions.
The key concept behind Patent Reader is very simple. It reads the full content of the search document and using forensic linguistic techniques compares the terms it finds with the content of every patent or other document in the dataset. This a very different approach to traditional searching, which relies on keywords in combination or proximity, or semantic searching which expands the search to related concepts that occur in similar contexts.
With our system, a user does not need to perform multiple searches using a series of keywords; instead the program builds its own collection of terminology from the search document text. By searching on everything, the most relevant information is ranked highly, while distantly related material is automatically ranked lower, and unrelated material does not appear at all.
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.
We believe patent data should be accessible to everybody from R&D to IP professionals, law firms, and patent authorities. This revolutionizes the way organizations access and consume IP data and gain ongoing value from it. We brought together a multidisciplinary team of technology experts in the fields of AI, NLP, deep learning, IP and IP litigation to achieve this ambitious mission.