Extract unstructured data and create queryable models
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Subtl.ai is an Technology startup that has successfully built technology that can read and understand documents at scale, and then pinpoint answers for you based on natural questions you can ask like “When did Mahatma Gandhi send a letter to Viceroy Irwin?”. The AI layer is domain adaptable and can automatically learn from the data and ratings given to answers, a seamless way to create personalised and private models!
Extract unstructured data and create queryable models
Semantic feature models scan through your content, to better understand your documents
To understand your questions and contextually pinpoint relevant information, from what would normally be haystacks of PDF documents
Backed by extensive work done in areas of Natural Language Processing and Question Answering systems
Supercharge all your employees with contextual AI for them to instantly find information to help with onboarding and operations support
Contextual AI can help students instantly find relevant data from all their textbooks and class-notes. Studying reimagined!
Banking Employees need to ensure that they are following banking processes according to procedure manuals
Operations support during day-to-day operations of all branches in India
Information support for core design office teams, from defence standards and regulation data
Remote site information support during maintenance and repairs
Subtl technology is enabling chat bot by powering them with automated document querying
Enabling NLP based semantic search of documents
in a DMS
Document based AI added to any customer support
solutions
BPM and workflow products enhanced through document insights added to the flows
subtl.ai wants to revolutionise how business access their private text data on a day to day basis. The vision is to disrupt segments like Life sciences research, Operations support, Law and Education.
Co-founder / CEO
Computer Science @BITS-Hyderabad
Research background in NLP, Document summarization, Semantic understanding.
Nidhi-EIR fellow @IIIT-Hyderabad
Co-founder / Product
Computer Science @JNTU-Hyd
DB workflow infrastructure for Wells Fargo 2017-2019.
Awarded by IT minister of Telangana for Product Innovation
Experience in Database systems, Full stack development and QA
Chief Scientist
Assistant Professor,LTRC lab @IIIT-Hyderabad.
PhD @IIT-Bombay in 2012
Research Background of 15+ years in NLP, Q&A systems, Information extractions.
Business Development Analyst
Content @ upGrad
Bachelors of Engineering @BITS – Hyderabad
Spearheaded funding and public relations for national festivals organised @ BITS
Product Engineer
Information Technology @ Techno India college of Technology
SAP Security and ABAP software engineer for CGI
Experience in Backend development and subsystem integrations
NLP research
Computer Sciences @ BITS-Hyderabad
Document extraction research contributions @ American Express
NLP research
MS in Computational linguistics @IIIT-Hyderabad
Language Research lab @ IIIT-Hyderabad
Founder @ GoNorth Ventures
The CFO of Sierra Atlantic and an executive VP when Hitachi acquired them,
Dr. Sanjay Jesrani is an executive-turned investor with a seasoned portfolio of startups like Popicorn, GTM Buddy.
Director, Government relations @ Redbus
20+ years of experience in Product Development, eCommerce & Transport Logistics domains as a pivotal role player.
He advises Subtl on the Business Modelling, Customer Acquisition and Go To Market Strategy.
Research/Innovation outreach @ IIIT-Hyd
Ex-president @ Hysea
Ramesh Loganathan is one of the pioneers of the Hyderabad startup ecosystem, being involved since 2002 as the founding team of Pramati, one of the first startups out of Hyderabad.
Head, Technology transfer
IIIT-Hyderabad
Prakash Yalla has played a key role in Technology discovery and applications for major corporations like Honeywell.
Over his career, he has played pivotal roles around driving research outcomes for startups and corporations alike.
Subtl.ai is a deeptech startup focused on improving the relationships enterprises have with their data. The underlying technology was built based on extensive research experience in areas of NLP and QnA systems.
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