Technology: Using GPT-3 large language model to extract structured information from documents

In this article, we explore the use of the GPT-3 large language model to extract data from documents for a leading Private Equity Co. In plain English:  We used AI to read a document and put the answers into a spreadsheet. Millions of documents can be read at the same cost as one human. Complex questions can be asked with better-than-human performance reading comprehension. Extracting answers to questions into a spreadsheet enables analytics across document dimensions, time for example. Other potential use cases could include better-than-human performance on data entry, document text extraction, and screen scraping (which requires a human to pinpoint the required data).

Product Update: July

Longer days mean we get more done! Right? Too often we find the opposite to be true - data teams are stretching and straining to gather the data the business demands, but are producing fewer insights, facing more data quality issues, and are fully occupied just keeping their data pipelines running. Read on to learn more about Matatika’s latest features to help you get more done and cost you less!

Product Update: May

The force was with us this month as we broke ground on a host of AI-powered innovations for our clients. These features both large and small are now available in our cloud, in our free Community Edition, and hosted on our client's Azure, AWS, and GCP cloud. Read on to see how our data platform uses AI to extract structured information from documents, connects to Google APIs with custom OAuth clients, and has enabled inventory insights in Veeqo. Plus, you may have seen us on UK Parliament TV this month!

Our role and the impact of trusted information

Openness and transparency are the cornerstones of well-functioning democracies and market economies. See how data technology providers have an opportunity to disproportionately impact the environment, economy, and society by providing access to trusted information.

Product Update: March

This month we are announcing a stack of features and improvements that make running our platform locally as a developer, on-premise, or privately in your own cloud even easier. These improvements have been spurred on by our customers, partners, and community who use our technology to aggregate data into private ESG data hubs, power seamless data collection & sharing, and automate Meltano jobs with Matatika managed configuration.

Matatika Community Edition

We are delighted to announce the Matatika Community Edition - a FREE version of the Matatika Platform.  With this significant step, we are making automated and intelligent information even more accessible.  Distributed as a set of docker services, our Community Edition is designed for data teams to evaluate and develop with Matatika.  Hugely reducing the investment required to collect, combine, and share information.