SifterAI can read your credit agreements to decipher provisions, find facts and even organize all the data in a spreadsheet to answer questions such as:
SifterAI gives you precise answers and also points you to the sections in the document where the answers came from. These questions are not pre-defined; SifterAI can answer any custom question you like for which answers are found in the documents.
Let our AI language models do the reading and answering so that you can make fast and high quality decisions.
SifterAI uses neural language models and natural language prompts, to read thousands of your documents and answer business critical questions.
SifterAI reads through sections and provisions to detect presence and absence of clauses and extracts key terms in a structured format.
The extracted structured data needs no post processing in order to make it ready for data analysis.
SifterAI sifts through hundreds of pages of a document and not only point to sections and provisions but gives you precise yes or no answers.
No training or labelling is needed. We can set you up with a workspace in a few minutes so you can upload your documents and start getting answers to your questions right away.
SifterAI can pull answers to any custom questions you have from the documents you have uploaded.
With SifterAI you can find precedents within an article or section in thousands of documents. Use the extracted data to narrow your search to documents matching your criteria.
“We looked at a lot of different AI tools to help us search across large sets of documents and surface particular provisions from those documents. We were ideally looking for a tool that would enable us to extract data points from contracts without needing to do a ton of post-processing to make the data usable for analytics.”
"We found the natural language search interface and human-in-the-loop review tools that SifterAI offered to be pretty amazing. Unlike most of the tools we had tried—which typically only returned blocks of text, and, even then, often only after extensive training—SifterAI returns structured answers to our questions in the format we’re looking for."
"SifterAI data points will allow our attorneys to better advise our clients on what we’re seeing in the market."
Our mission is to empower organizations to unlock the limitless potential of data in unstructured text.
We are a team of researchers, technologists and industry experts determined to help firms succeed in their mission to be more data driven.
We deploy the latest AI advances in natural language understanding and large language models for tackling the enormous challenge of extracting data from lengthy documents with great accuracy.
We care deeply about our customers. Customers have direct access to our engineers and we excel at post sales customer service and partnership.
Co-founder and CEO Ambika Sukla led the AI Center of Excellence at Morgan Stanley where he explored solutions for large scale data extraction from complex and lengthy business documents.
After spending months on unsuccessful pilots with third-party products, tedious hand crafted homegrown solutions, and training highly limited custom models, Ambika felt the need for a user friendly way to query large number of documents for data.
He saw the opportunity to harness the power of large language models and developed SifterAI to make this vision possible.