SlideShare a Scribd company logo
1 of 14
Download to read offline
PATSEER
The Complete Professional Patent Research, Analysis and
Collaboration Package
Manish Sinha
Chief Technology Officer, Gridlogics
Gridlogics - Breakthrough intellectual property solutions for
the innovation economy
 Founded in 2004 and having more than 12
years of experience in Intellectual Property
Software Solutions
 Strong Focus on R&D and
Rapid/Continuous product enhancements
that solve greater challenges and needs of
IP professionals
 Launched Patent iNSIGHT Pro in Jan 2006
and gained quick market acceptance to
achieve more than 400 users across
100+organisations globally
 PatSeer Global Patent Database crossed
2200+ users in 3 years with more than 300
Professional Searchers and 800 Examiners.
 PatSeer Pro launched in 2016 and PatSeer
360° scheduled in 2017
Patent
Professional
Patent/Scientific
Information
Department
Patent Analyst /
Technology
Manager
Licensing
Professional / IP
Manager
PatSeer Editions
• Patent Analytics for
Monetization
• Portfolio optimization
• IP Licensing
• Competitive
Intelligence
• Tech Mining &
Landscaping
• White Space Analysis
• Patent Workflow and
Information
collaboration across
the organization
• Patent Research
• FTO/Invalidity
• Patent Mapping
PatSeer
Premier
PatSeer
Projects
PatSeer
360*
PatSeer
Pro
* To be launched
PatSeer Overview
• Web based Patent database platform with powerful analytics
and an easy-to-use intuitive interface that everyone loves!
• With 42 full text authorities PatSeer has the world’s most
comprehensive full-text patent collection. (Many collections
have been custom curated by in-house team are not available
in other databases. More full-text collections are being added
in 2017)
• World’s only hybrid search engine that allows the users to
leverage all the benefits of an Publication based database,
Simple Family Based databases, Extended Family based
database and Application based database
• Extremely fast analytics engine that gives a boost to the user
experience
• Rapid Innovation cycle that helps clients get their feedback
or custom capabilities in less than 30/60 days.
• Collaboration and workflow capabilities that far exceed any
other product in the market
PatSeer Premier
Zero compromise on Data Quality, Performance and Capability…
Coverage
 62 million+ full text records of 42 countries and 102 million+ biblio
records covering 104+ countries
 PDFs, Front Page Images, Embedded Images, Mosaics, Simple/Extended
Families, Bwd/Fwd Citations and more
 Updated multiple times each week with manual data quality checks
Search
 Search full-text in Original Language (incl. Non Latin Text) and English.
Legal Status Search enhancements include date range, Event, Event
Country (Incl. Designated Country Code events for EP,WO)
 Fully featured Search Syntax with 191+ search fields
 No compromise on search techniques –Proximity, complex Boolean with
proximity, command line searching, Search Scripting, wildcards, left &
middle truncation, hit count cutoff, Natural Language Search
Search Aids
 Annotate records and families using PatSeer Search Recall™
 Normalized Assignee Names & Corporate Tree for Top 3000 companies
 Looking up Matching Assignee /Inventor names
 Semantic Search Suggester
 Search History and Saved Searches
 Chemical Synonym Lookup
 IPC/US/CPC Classification Definition Search
 Term Index Lookup & Multi Language Translator
 Number Converter Wizard (for Numbers from other systems)
Fast Lightweight UI designed to hide the complexity …
Review & Analysis
 Collapse results by Simple/Extended family or by Application Number
 Multiple Result Views, Custom View, Detailed Record View, KWIC view,
Hit Analysis
 Citations by Self or by Family, Co-citation analysis
 Multiple Detailed view of records can be opened in separate window tabs
to allow for easy comparison
 Analyze search results via multi-dimensional charts
(column/line/pie/area/bubble/heatmap/geographical map)
 Live translator to translate all non-English claims to English.
 Key Concepts give a quick idea of key concepts covered in the record.
Exports
 Multiple Export formats including Word/Excel/CSV/XML/Patent
iNSIGHT Pro format
 Charts can also be included in Word and Excel exports
Alerts
 Create weekly and monthly search alerts
 Setup Record Monitors to track changes to any record
Projects
 Save and analyze upto 70K records in a project
 Import your meta data from CSV /Excel files
 Leverage flags, ratings, custom fields, hierarchical categories to add
context to your analysis
 Share and Collaborate project data effectively using Patent Dashlets™
PatSeer Premier
PatSeer Pro Edition – A professional grade
web-based patent analysis and landscaping solution
VizMAP
Combines patent network analysis with
semantic (contextual) spatial-mapping
thereby allowing users to not just view
clusters and their contents but analyze key
relationships in their context.
 Provides a wide range of flexible analysis tools and visualizations to speed up
time-to-insights
 Why do users like PatSeer Pro
• Speed
• Flexibility offered by the
Analysis tools
• Powerful Visualizations
• Data Cleanup options
 Targeted for
• IP Manager
• Patent Analyst
• Technology /Innovation
Managers
• Competitive Intelligence (CI)
Manager
PatSeer Pro Edition
Co-occurrence Matrix
A powerful flexible multi-dimensional analyzer
that IP professionals love! Integrated with the
biggest set of filters in the industry to make
your slide-dice even more powerful.
Multi-generation Citation Analysis
A new citation tree visualizer helps
you generate multi-generation
forward/backward citation trees.
Customizable Visual Dashboards
Go beyond singular visualizations by
building a series of stunning charts that
reveal the hidden IP strategies.
Full-Text Advanced Clustering
Identify most important keywords, topics and themes
from your patent projects. Analyze relationship between
clusters, and find out the business opportunities hidden
in innovations.
PatSeer Pro Edition
And many more visualizations….
One Click Summary Reports
PatSeer Projects
With PatSeer Projects users can collaborate
with key project stakeholders and deliver
information and insights to clients via a feature
rich, intuitive and interactive platform.
• Solution for Organization
wide sharing of PL and
NPL data
• Centralized Repository for
Competitive Data
• Easy access to Full-text,
Images and PDFs
• Clean Integration of Data
from many sources
• Custom Fields and
Complex data types to store
organizational meta data
• Delivery models suited for
every type of customer –
SaaS, Private Cloud,
Enterprise
PatSeer Projects are not Folders – Solution supports complex workflows
• Not just folders where you would put some patents and analyze or export them.
• PatSeer Projects is where you invite collaborators ( external search firm, counsels), setup business
dashboards for R&D/management , create workflows for ongoing tasks and get work done !
• Create your organizational taxonomy, import your custom metadata, import NPL, and make your
analysis more business relevant.
• Create and share multiple interactive dashboards (Patent Dashlets™ ) for different teams. (E.g.
legal, marketing).
Sample Corporate User Scenario –
FTO analysis for invention in Germany
• User Creates Project and add all related records to it
• User shares project with external search agency to review and add missing records to the project
• Once all relevant records added user removes access from search agency
• User adds custom fields such as R&D Rating/Comments, Counsel Rating/Comments
• User shares project with R&D team member - Only key biblio fields, Images and R&D rating/comments
shared
• User shares project with Counsel - both R&D fields and counsel fields shared
• R&D member cant see counsel fields Counsel cant see other project fields the user may have created.
• User compiles the results and creates a management dashboard with analysis of rating/comments.
PatSeer Projects - Designed for Continuous Monitoring and
Assessment
Patent Dashlets®
Create and share multiple
interactive dashboards for
different teams. (E.g. legal,
marketing).
• Each dashboard
combines fields relevant
to each team.
• Share multiple
dashboards from one
project each being
exclusive to a team
• Dashlet can include
interactive Custom
fields such as drop-
downs, bullets,
checkbox, etc.
• Clean integration of PL
and NPL
Patent/Scientific
Information
Department
Search Analysis & Evaluation Reporting
R&D R&D / ManagementIP Department
• Patent iNSIGHT Pro is a
comprehensive patent
research and analysis
platform that accelerates
your time-to-insights from
patent and scientific
literature.
•Helps clients globally in
deriving actionable
intelligence from the masses
of patent data.
• R&D Intelligence,
Competitive Intelligence,
Licensing Research ,
Support M&A or
Technology/Product
partnerships, Open
Innovation
Patent iNSIGHT Pro
Thank You

More Related Content

What's hot

II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent DataII-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent DataDr. Haxel Consult
 
II-SDV 2017: Search Technologies
II-SDV 2017: Search TechnologiesII-SDV 2017: Search Technologies
II-SDV 2017: Search TechnologiesDr. Haxel Consult
 
ICIC 2017: New product presentation minesoft
ICIC 2017: New product presentation minesoftICIC 2017: New product presentation minesoft
ICIC 2017: New product presentation minesoftDr. Haxel Consult
 
II-SDV 2017: Towards Semantic Search at the European Patent Office
II-SDV 2017: Towards Semantic Search at the European Patent OfficeII-SDV 2017: Towards Semantic Search at the European Patent Office
II-SDV 2017: Towards Semantic Search at the European Patent OfficeDr. Haxel Consult
 
ICIC 2017: Product presentations FIZ Karlsruhe
ICIC 2017: Product presentations FIZ KarlsruheICIC 2017: Product presentations FIZ Karlsruhe
ICIC 2017: Product presentations FIZ KarlsruheDr. Haxel Consult
 
ICIC 2017: Publication Analysis and Publication Strategy
ICIC 2017: Publication Analysis and Publication Strategy  ICIC 2017: Publication Analysis and Publication Strategy
ICIC 2017: Publication Analysis and Publication Strategy Dr. Haxel Consult
 
IC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePointIC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePointDr. Haxel Consult
 
ICIC 2017: New product presentationsLighthouse IP
ICIC 2017: New product presentationsLighthouse IPICIC 2017: New product presentationsLighthouse IP
ICIC 2017: New product presentationsLighthouse IPDr. Haxel Consult
 
IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...
IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...
IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...Dr. Haxel Consult
 
II-PIC 2017: Product Presentation Gridlogics
II-PIC 2017: Product Presentation GridlogicsII-PIC 2017: Product Presentation Gridlogics
II-PIC 2017: Product Presentation GridlogicsDr. Haxel Consult
 
ICIC 2017: How to effectively monitor Technological Developments in IP
ICIC 2017: How to effectively monitor Technological Developments in IPICIC 2017: How to effectively monitor Technological Developments in IP
ICIC 2017: How to effectively monitor Technological Developments in IPDr. Haxel Consult
 
AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...
AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...
AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceDr. Haxel Consult
 
ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...
ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...
ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...Dr. Haxel Consult
 
II-SDV 2016 Questel Intellixir
II-SDV 2016 Questel IntellixirII-SDV 2016 Questel Intellixir
II-SDV 2016 Questel IntellixirDr. Haxel Consult
 
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingII-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingDr. Haxel Consult
 

What's hot (20)

II-SDV 2017: Centredoc
II-SDV 2017: CentredocII-SDV 2017: Centredoc
II-SDV 2017: Centredoc
 
II-PIC 2017 in Bangalore
II-PIC 2017 in BangaloreII-PIC 2017 in Bangalore
II-PIC 2017 in Bangalore
 
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent DataII-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
 
II-SDV 2017: Search Technologies
II-SDV 2017: Search TechnologiesII-SDV 2017: Search Technologies
II-SDV 2017: Search Technologies
 
ICIC 2017: New product presentation minesoft
ICIC 2017: New product presentation minesoftICIC 2017: New product presentation minesoft
ICIC 2017: New product presentation minesoft
 
II-SDV 2017: Towards Semantic Search at the European Patent Office
II-SDV 2017: Towards Semantic Search at the European Patent OfficeII-SDV 2017: Towards Semantic Search at the European Patent Office
II-SDV 2017: Towards Semantic Search at the European Patent Office
 
ICIC 2017: Product presentations FIZ Karlsruhe
ICIC 2017: Product presentations FIZ KarlsruheICIC 2017: Product presentations FIZ Karlsruhe
ICIC 2017: Product presentations FIZ Karlsruhe
 
ICIC 2017: Publication Analysis and Publication Strategy
ICIC 2017: Publication Analysis and Publication Strategy  ICIC 2017: Publication Analysis and Publication Strategy
ICIC 2017: Publication Analysis and Publication Strategy
 
IC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePointIC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePoint
 
ICIC 2017: New product presentationsLighthouse IP
ICIC 2017: New product presentationsLighthouse IPICIC 2017: New product presentationsLighthouse IP
ICIC 2017: New product presentationsLighthouse IP
 
IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...
IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...
IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...
 
IC-SDV 2018: Averbis
IC-SDV 2018: AverbisIC-SDV 2018: Averbis
IC-SDV 2018: Averbis
 
II-PIC 2017: Product Presentation Gridlogics
II-PIC 2017: Product Presentation GridlogicsII-PIC 2017: Product Presentation Gridlogics
II-PIC 2017: Product Presentation Gridlogics
 
ICIC 2017: How to effectively monitor Technological Developments in IP
ICIC 2017: How to effectively monitor Technological Developments in IPICIC 2017: How to effectively monitor Technological Developments in IP
ICIC 2017: How to effectively monitor Technological Developments in IP
 
AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...
AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...
AI-SDV 2020: Bringing AI to SME projects: Addressing customer needs with a fl...
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
SciBite
SciBiteSciBite
SciBite
 
ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...
ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...
ICIC 2017: Building a Linked Data Knowledge Graph for the Scholarly Publishin...
 
II-SDV 2016 Questel Intellixir
II-SDV 2016 Questel IntellixirII-SDV 2016 Questel Intellixir
II-SDV 2016 Questel Intellixir
 
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingII-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
 

Similar to II-SDV 2017: Gridlogics Technologies

PatSeer Overview
PatSeer OverviewPatSeer Overview
PatSeer OverviewGridlogics
 
PatSeer Introduction
PatSeer IntroductionPatSeer Introduction
PatSeer IntroductionGridlogics
 
PatSeer Premier Overview
PatSeer Premier OverviewPatSeer Premier Overview
PatSeer Premier OverviewGridlogics
 
PatSeer Projects Overview
PatSeer Projects OverviewPatSeer Projects Overview
PatSeer Projects OverviewGridlogics
 
ICIC 2014 New Product Introduction Gridlogisc
ICIC 2014 New Product Introduction GridlogiscICIC 2014 New Product Introduction Gridlogisc
ICIC 2014 New Product Introduction GridlogiscDr. Haxel Consult
 
PatSeer Overview
PatSeer OverviewPatSeer Overview
PatSeer OverviewGridlogics
 
PatSeer Patent Database Overview
PatSeer Patent Database OverviewPatSeer Patent Database Overview
PatSeer Patent Database OverviewHarshad Karmarkar
 
Knowage 8 presentation
Knowage 8   presentationKnowage 8   presentation
Knowage 8 presentationKNOWAGE
 
PatSeer Lite Overview
PatSeer Lite OverviewPatSeer Lite Overview
PatSeer Lite OverviewGridlogics
 
TermSet for Sharepoint Metadata Presented by Atidan
TermSet for Sharepoint Metadata Presented by AtidanTermSet for Sharepoint Metadata Presented by Atidan
TermSet for Sharepoint Metadata Presented by AtidanDavid J Rosenthal
 
Alteryx Desktop Designer Overview
Alteryx Desktop Designer OverviewAlteryx Desktop Designer Overview
Alteryx Desktop Designer OverviewTridant
 
Bhadale group of companies data science catalogue
Bhadale group of companies data science catalogueBhadale group of companies data science catalogue
Bhadale group of companies data science catalogueVijayananda Mohire
 
Smart cities no ai without ia
Smart cities   no ai without iaSmart cities   no ai without ia
Smart cities no ai without iaFredric Landqvist
 
Data Science Salon: Applying Machine Learning to Modernize Business Processes
Data Science Salon: Applying Machine Learning to Modernize Business ProcessesData Science Salon: Applying Machine Learning to Modernize Business Processes
Data Science Salon: Applying Machine Learning to Modernize Business ProcessesFormulatedby
 
Webinar: Value Gain by Modernizing with Applicationinsights1.5
Webinar: Value Gain by Modernizing with Applicationinsights1.5Webinar: Value Gain by Modernizing with Applicationinsights1.5
Webinar: Value Gain by Modernizing with Applicationinsights1.5panagenda
 
Building an effective sharepoint team
Building an effective sharepoint teamBuilding an effective sharepoint team
Building an effective sharepoint teamBaris Bruce Tuncertan
 
Cloud-native Enterprise Data Science Teams
Cloud-native Enterprise Data Science TeamsCloud-native Enterprise Data Science Teams
Cloud-native Enterprise Data Science TeamsBoston Consulting Group
 
How To Implement Engineering Search Within Your Organization Webinar
How To Implement Engineering Search Within Your Organization WebinarHow To Implement Engineering Search Within Your Organization Webinar
How To Implement Engineering Search Within Your Organization WebinarConcept Searching, Inc
 

Similar to II-SDV 2017: Gridlogics Technologies (20)

PatSeer Overview
PatSeer OverviewPatSeer Overview
PatSeer Overview
 
PatSeer Introduction
PatSeer IntroductionPatSeer Introduction
PatSeer Introduction
 
PatSeer Premier Overview
PatSeer Premier OverviewPatSeer Premier Overview
PatSeer Premier Overview
 
PatSeer Projects Overview
PatSeer Projects OverviewPatSeer Projects Overview
PatSeer Projects Overview
 
ICIC 2014 New Product Introduction Gridlogisc
ICIC 2014 New Product Introduction GridlogiscICIC 2014 New Product Introduction Gridlogisc
ICIC 2014 New Product Introduction Gridlogisc
 
PatSeer Overview
PatSeer OverviewPatSeer Overview
PatSeer Overview
 
PatSeer Patent Database Overview
PatSeer Patent Database OverviewPatSeer Patent Database Overview
PatSeer Patent Database Overview
 
II-SDV 2016 GRIDLOGICS
II-SDV 2016 GRIDLOGICSII-SDV 2016 GRIDLOGICS
II-SDV 2016 GRIDLOGICS
 
PatSeer
PatSeerPatSeer
PatSeer
 
Knowage 8 presentation
Knowage 8   presentationKnowage 8   presentation
Knowage 8 presentation
 
PatSeer Lite Overview
PatSeer Lite OverviewPatSeer Lite Overview
PatSeer Lite Overview
 
TermSet for Sharepoint Metadata Presented by Atidan
TermSet for Sharepoint Metadata Presented by AtidanTermSet for Sharepoint Metadata Presented by Atidan
TermSet for Sharepoint Metadata Presented by Atidan
 
Alteryx Desktop Designer Overview
Alteryx Desktop Designer OverviewAlteryx Desktop Designer Overview
Alteryx Desktop Designer Overview
 
Bhadale group of companies data science catalogue
Bhadale group of companies data science catalogueBhadale group of companies data science catalogue
Bhadale group of companies data science catalogue
 
Smart cities no ai without ia
Smart cities   no ai without iaSmart cities   no ai without ia
Smart cities no ai without ia
 
Data Science Salon: Applying Machine Learning to Modernize Business Processes
Data Science Salon: Applying Machine Learning to Modernize Business ProcessesData Science Salon: Applying Machine Learning to Modernize Business Processes
Data Science Salon: Applying Machine Learning to Modernize Business Processes
 
Webinar: Value Gain by Modernizing with Applicationinsights1.5
Webinar: Value Gain by Modernizing with Applicationinsights1.5Webinar: Value Gain by Modernizing with Applicationinsights1.5
Webinar: Value Gain by Modernizing with Applicationinsights1.5
 
Building an effective sharepoint team
Building an effective sharepoint teamBuilding an effective sharepoint team
Building an effective sharepoint team
 
Cloud-native Enterprise Data Science Teams
Cloud-native Enterprise Data Science TeamsCloud-native Enterprise Data Science Teams
Cloud-native Enterprise Data Science Teams
 
How To Implement Engineering Search Within Your Organization Webinar
How To Implement Engineering Search Within Your Organization WebinarHow To Implement Engineering Search Within Your Organization Webinar
How To Implement Engineering Search Within Your Organization Webinar
 

More from Dr. Haxel Consult

AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering ManagementAI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering ManagementDr. Haxel Consult
 
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...Dr. Haxel Consult
 
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...Dr. Haxel Consult
 
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...Dr. Haxel Consult
 
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...Dr. Haxel Consult
 
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...Dr. Haxel Consult
 
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...Dr. Haxel Consult
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...Dr. Haxel Consult
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...Dr. Haxel Consult
 
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...Dr. Haxel Consult
 
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...Dr. Haxel Consult
 
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...Dr. Haxel Consult
 
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...Dr. Haxel Consult
 
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...Dr. Haxel Consult
 
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...Dr. Haxel Consult
 
AI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance CenterAI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance CenterDr. Haxel Consult
 
AI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOCAI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOCDr. Haxel Consult
 
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...Dr. Haxel Consult
 
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...Dr. Haxel Consult
 

More from Dr. Haxel Consult (20)

AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering ManagementAI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
 
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
 
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
 
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
 
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
 
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
 
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
 
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
 
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
 
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
 
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
 
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
 
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
 
AI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance CenterAI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance Center
 
AI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IPAI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IP
 
AI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOCAI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOC
 
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
 
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
 

Recently uploaded

Magic exist by Marta Loveguard - presentation.pptx
Magic exist by Marta Loveguard - presentation.pptxMagic exist by Marta Loveguard - presentation.pptx
Magic exist by Marta Loveguard - presentation.pptxMartaLoveguard
 
NSX-T and Service Interfaces presentation
NSX-T and Service Interfaces presentationNSX-T and Service Interfaces presentation
NSX-T and Service Interfaces presentationMarko4394
 
Git and Github workshop GDSC MLRITM
Git and Github  workshop GDSC MLRITMGit and Github  workshop GDSC MLRITM
Git and Github workshop GDSC MLRITMgdsc13
 
定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一
定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一
定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一Fs
 
Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作
Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作
Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作ys8omjxb
 
『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书
『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书
『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书rnrncn29
 
Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170
Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170
Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170Sonam Pathan
 
Blepharitis inflammation of eyelid symptoms cause everything included along w...
Blepharitis inflammation of eyelid symptoms cause everything included along w...Blepharitis inflammation of eyelid symptoms cause everything included along w...
Blepharitis inflammation of eyelid symptoms cause everything included along w...Excelmac1
 
Call Girls Near The Suryaa Hotel New Delhi 9873777170
Call Girls Near The Suryaa Hotel New Delhi 9873777170Call Girls Near The Suryaa Hotel New Delhi 9873777170
Call Girls Near The Suryaa Hotel New Delhi 9873777170Sonam Pathan
 
A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)
A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)
A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)Christopher H Felton
 
Film cover research (1).pptxsdasdasdasdasdasa
Film cover research (1).pptxsdasdasdasdasdasaFilm cover research (1).pptxsdasdasdasdasdasa
Film cover research (1).pptxsdasdasdasdasdasa494f574xmv
 
办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书
办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书
办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书zdzoqco
 
Q4-1-Illustrating-Hypothesis-Testing.pptx
Q4-1-Illustrating-Hypothesis-Testing.pptxQ4-1-Illustrating-Hypothesis-Testing.pptx
Q4-1-Illustrating-Hypothesis-Testing.pptxeditsforyah
 
Top 10 Interactive Website Design Trends in 2024.pptx
Top 10 Interactive Website Design Trends in 2024.pptxTop 10 Interactive Website Design Trends in 2024.pptx
Top 10 Interactive Website Design Trends in 2024.pptxDyna Gilbert
 
定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一
定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一
定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一Fs
 
办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一
办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一
办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一z xss
 
『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书
『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书
『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书rnrncn29
 
定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一
定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一
定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一Fs
 

Recently uploaded (20)

Magic exist by Marta Loveguard - presentation.pptx
Magic exist by Marta Loveguard - presentation.pptxMagic exist by Marta Loveguard - presentation.pptx
Magic exist by Marta Loveguard - presentation.pptx
 
Hot Sexy call girls in Rk Puram 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in  Rk Puram 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in  Rk Puram 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Rk Puram 🔝 9953056974 🔝 Delhi escort Service
 
NSX-T and Service Interfaces presentation
NSX-T and Service Interfaces presentationNSX-T and Service Interfaces presentation
NSX-T and Service Interfaces presentation
 
young call girls in Uttam Nagar🔝 9953056974 🔝 Delhi escort Service
young call girls in Uttam Nagar🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Uttam Nagar🔝 9953056974 🔝 Delhi escort Service
young call girls in Uttam Nagar🔝 9953056974 🔝 Delhi escort Service
 
Git and Github workshop GDSC MLRITM
Git and Github  workshop GDSC MLRITMGit and Github  workshop GDSC MLRITM
Git and Github workshop GDSC MLRITM
 
定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一
定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一
定制(AUT毕业证书)新西兰奥克兰理工大学毕业证成绩单原版一比一
 
Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作
Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作
Potsdam FH学位证,波茨坦应用技术大学毕业证书1:1制作
 
『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书
『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书
『澳洲文凭』买詹姆士库克大学毕业证书成绩单办理澳洲JCU文凭学位证书
 
Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170
Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170
Call Girls In The Ocean Pearl Retreat Hotel New Delhi 9873777170
 
Blepharitis inflammation of eyelid symptoms cause everything included along w...
Blepharitis inflammation of eyelid symptoms cause everything included along w...Blepharitis inflammation of eyelid symptoms cause everything included along w...
Blepharitis inflammation of eyelid symptoms cause everything included along w...
 
Call Girls Near The Suryaa Hotel New Delhi 9873777170
Call Girls Near The Suryaa Hotel New Delhi 9873777170Call Girls Near The Suryaa Hotel New Delhi 9873777170
Call Girls Near The Suryaa Hotel New Delhi 9873777170
 
A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)
A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)
A Good Girl's Guide to Murder (A Good Girl's Guide to Murder, #1)
 
Film cover research (1).pptxsdasdasdasdasdasa
Film cover research (1).pptxsdasdasdasdasdasaFilm cover research (1).pptxsdasdasdasdasdasa
Film cover research (1).pptxsdasdasdasdasdasa
 
办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书
办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书
办理多伦多大学毕业证成绩单|购买加拿大UTSG文凭证书
 
Q4-1-Illustrating-Hypothesis-Testing.pptx
Q4-1-Illustrating-Hypothesis-Testing.pptxQ4-1-Illustrating-Hypothesis-Testing.pptx
Q4-1-Illustrating-Hypothesis-Testing.pptx
 
Top 10 Interactive Website Design Trends in 2024.pptx
Top 10 Interactive Website Design Trends in 2024.pptxTop 10 Interactive Website Design Trends in 2024.pptx
Top 10 Interactive Website Design Trends in 2024.pptx
 
定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一
定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一
定制(Lincoln毕业证书)新西兰林肯大学毕业证成绩单原版一比一
 
办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一
办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一
办理(UofR毕业证书)罗切斯特大学毕业证成绩单原版一比一
 
『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书
『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书
『澳洲文凭』买拉筹伯大学毕业证书成绩单办理澳洲LTU文凭学位证书
 
定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一
定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一
定制(Management毕业证书)新加坡管理大学毕业证成绩单原版一比一
 

II-SDV 2017: Gridlogics Technologies

  • 1. PATSEER The Complete Professional Patent Research, Analysis and Collaboration Package Manish Sinha Chief Technology Officer, Gridlogics
  • 2. Gridlogics - Breakthrough intellectual property solutions for the innovation economy  Founded in 2004 and having more than 12 years of experience in Intellectual Property Software Solutions  Strong Focus on R&D and Rapid/Continuous product enhancements that solve greater challenges and needs of IP professionals  Launched Patent iNSIGHT Pro in Jan 2006 and gained quick market acceptance to achieve more than 400 users across 100+organisations globally  PatSeer Global Patent Database crossed 2200+ users in 3 years with more than 300 Professional Searchers and 800 Examiners.  PatSeer Pro launched in 2016 and PatSeer 360° scheduled in 2017 Patent Professional Patent/Scientific Information Department Patent Analyst / Technology Manager Licensing Professional / IP Manager
  • 3. PatSeer Editions • Patent Analytics for Monetization • Portfolio optimization • IP Licensing • Competitive Intelligence • Tech Mining & Landscaping • White Space Analysis • Patent Workflow and Information collaboration across the organization • Patent Research • FTO/Invalidity • Patent Mapping PatSeer Premier PatSeer Projects PatSeer 360* PatSeer Pro * To be launched
  • 4. PatSeer Overview • Web based Patent database platform with powerful analytics and an easy-to-use intuitive interface that everyone loves! • With 42 full text authorities PatSeer has the world’s most comprehensive full-text patent collection. (Many collections have been custom curated by in-house team are not available in other databases. More full-text collections are being added in 2017) • World’s only hybrid search engine that allows the users to leverage all the benefits of an Publication based database, Simple Family Based databases, Extended Family based database and Application based database • Extremely fast analytics engine that gives a boost to the user experience • Rapid Innovation cycle that helps clients get their feedback or custom capabilities in less than 30/60 days. • Collaboration and workflow capabilities that far exceed any other product in the market
  • 5. PatSeer Premier Zero compromise on Data Quality, Performance and Capability… Coverage  62 million+ full text records of 42 countries and 102 million+ biblio records covering 104+ countries  PDFs, Front Page Images, Embedded Images, Mosaics, Simple/Extended Families, Bwd/Fwd Citations and more  Updated multiple times each week with manual data quality checks Search  Search full-text in Original Language (incl. Non Latin Text) and English. Legal Status Search enhancements include date range, Event, Event Country (Incl. Designated Country Code events for EP,WO)  Fully featured Search Syntax with 191+ search fields  No compromise on search techniques –Proximity, complex Boolean with proximity, command line searching, Search Scripting, wildcards, left & middle truncation, hit count cutoff, Natural Language Search Search Aids  Annotate records and families using PatSeer Search Recall™  Normalized Assignee Names & Corporate Tree for Top 3000 companies  Looking up Matching Assignee /Inventor names  Semantic Search Suggester  Search History and Saved Searches  Chemical Synonym Lookup  IPC/US/CPC Classification Definition Search  Term Index Lookup & Multi Language Translator  Number Converter Wizard (for Numbers from other systems)
  • 6. Fast Lightweight UI designed to hide the complexity … Review & Analysis  Collapse results by Simple/Extended family or by Application Number  Multiple Result Views, Custom View, Detailed Record View, KWIC view, Hit Analysis  Citations by Self or by Family, Co-citation analysis  Multiple Detailed view of records can be opened in separate window tabs to allow for easy comparison  Analyze search results via multi-dimensional charts (column/line/pie/area/bubble/heatmap/geographical map)  Live translator to translate all non-English claims to English.  Key Concepts give a quick idea of key concepts covered in the record. Exports  Multiple Export formats including Word/Excel/CSV/XML/Patent iNSIGHT Pro format  Charts can also be included in Word and Excel exports Alerts  Create weekly and monthly search alerts  Setup Record Monitors to track changes to any record Projects  Save and analyze upto 70K records in a project  Import your meta data from CSV /Excel files  Leverage flags, ratings, custom fields, hierarchical categories to add context to your analysis  Share and Collaborate project data effectively using Patent Dashlets™ PatSeer Premier
  • 7. PatSeer Pro Edition – A professional grade web-based patent analysis and landscaping solution VizMAP Combines patent network analysis with semantic (contextual) spatial-mapping thereby allowing users to not just view clusters and their contents but analyze key relationships in their context.  Provides a wide range of flexible analysis tools and visualizations to speed up time-to-insights  Why do users like PatSeer Pro • Speed • Flexibility offered by the Analysis tools • Powerful Visualizations • Data Cleanup options  Targeted for • IP Manager • Patent Analyst • Technology /Innovation Managers • Competitive Intelligence (CI) Manager
  • 8. PatSeer Pro Edition Co-occurrence Matrix A powerful flexible multi-dimensional analyzer that IP professionals love! Integrated with the biggest set of filters in the industry to make your slide-dice even more powerful. Multi-generation Citation Analysis A new citation tree visualizer helps you generate multi-generation forward/backward citation trees. Customizable Visual Dashboards Go beyond singular visualizations by building a series of stunning charts that reveal the hidden IP strategies.
  • 9. Full-Text Advanced Clustering Identify most important keywords, topics and themes from your patent projects. Analyze relationship between clusters, and find out the business opportunities hidden in innovations. PatSeer Pro Edition And many more visualizations…. One Click Summary Reports
  • 10. PatSeer Projects With PatSeer Projects users can collaborate with key project stakeholders and deliver information and insights to clients via a feature rich, intuitive and interactive platform. • Solution for Organization wide sharing of PL and NPL data • Centralized Repository for Competitive Data • Easy access to Full-text, Images and PDFs • Clean Integration of Data from many sources • Custom Fields and Complex data types to store organizational meta data • Delivery models suited for every type of customer – SaaS, Private Cloud, Enterprise
  • 11. PatSeer Projects are not Folders – Solution supports complex workflows • Not just folders where you would put some patents and analyze or export them. • PatSeer Projects is where you invite collaborators ( external search firm, counsels), setup business dashboards for R&D/management , create workflows for ongoing tasks and get work done ! • Create your organizational taxonomy, import your custom metadata, import NPL, and make your analysis more business relevant. • Create and share multiple interactive dashboards (Patent Dashlets™ ) for different teams. (E.g. legal, marketing). Sample Corporate User Scenario – FTO analysis for invention in Germany • User Creates Project and add all related records to it • User shares project with external search agency to review and add missing records to the project • Once all relevant records added user removes access from search agency • User adds custom fields such as R&D Rating/Comments, Counsel Rating/Comments • User shares project with R&D team member - Only key biblio fields, Images and R&D rating/comments shared • User shares project with Counsel - both R&D fields and counsel fields shared • R&D member cant see counsel fields Counsel cant see other project fields the user may have created. • User compiles the results and creates a management dashboard with analysis of rating/comments.
  • 12. PatSeer Projects - Designed for Continuous Monitoring and Assessment Patent Dashlets® Create and share multiple interactive dashboards for different teams. (E.g. legal, marketing). • Each dashboard combines fields relevant to each team. • Share multiple dashboards from one project each being exclusive to a team • Dashlet can include interactive Custom fields such as drop- downs, bullets, checkbox, etc. • Clean integration of PL and NPL Patent/Scientific Information Department Search Analysis & Evaluation Reporting R&D R&D / ManagementIP Department
  • 13. • Patent iNSIGHT Pro is a comprehensive patent research and analysis platform that accelerates your time-to-insights from patent and scientific literature. •Helps clients globally in deriving actionable intelligence from the masses of patent data. • R&D Intelligence, Competitive Intelligence, Licensing Research , Support M&A or Technology/Product partnerships, Open Innovation Patent iNSIGHT Pro