Able to read PDF documents, and pull text from it ("tell me the receipt total price", "tell me the vendor's name on the document", etc.).

Able to classify documents into different types. It can tell what type of document it is looking at. In other words, it can classify and distinguish between an invoice, a receipt, an image of a driver's license, etc..

Able to comprehend the structure of a document. If given a picture of a Driver's License, it can understand where the first name field is, where the image is located (left or right side, for example), and pull that information, or respond to questions about the structure of the document. For example, you can ask the platform, "does the document contain [such] text at the footer?"

Able to discern and make logical conclusions at human level.

Input

An invoice has five line items. The first three line items are for wood craftsmanship. We know that one of the line items corresponds to building a deck. We also know that two line items are for steel works. Line items one and two are for flooring installation. Which number line item will building a deck be on most likely?

Output (condensed)

Based on this information, line items one and two are for floor installation, which could potentially involve wood craftsmanship. [...] Given that building a deck is a task involving wood craftsmanship, [...] the deck building can't be in line items 4 or 5, as these are likely reserved for steel works. Therefore, building a deck is most likely on line item 3, since line items 1 and 2 are already accounted for as floor installation.

Advanced mathematics understanding allows platform to assert proper calculations have taken place, and make recommendations on corrections on command.

All questions and responses about each document are available for export in CSV format, which you can open with Excel.

Over 50 experts participated in making the LLM safe and secure to be used industry-wide.

The same LLM technology has been widely adopted by industry leaders, such as Morgan Stanley, the Government of Iceland, and Duolingo.

Enterprise-Level Security

Built on Microsoft and Amazon Web Services (AWS) infrastructure that adheres to SOC 2 and GDPR-compliant data processing agreement (DPA).

All data transfer is securely performed in encrypted form, in SSL/HTTPS protocol.

All documents uploaded are used strictly for responding to the questions you ask, then deleted from our servers. You may opt to delete all of your information from our servers, anytime.

We do not train our deep learning models using your data. Your data is strictly used to perform the task you requested.

We do not sell your contact (or any other) information to third parties. Rest assured that all information provided is kept between you and us.

We do not charge any early termination fees or additional service charges. You may cancel anytime at will, no questions asked.

We have no hidden pricing. What you see on our pricing page is what you will be billed.

All payment information you enter is encrypted and processed directly by Stripe. All sensitive information is kept between you and Stripe. You can dispute charges through us or escalate to Stripe as an overhead policing institution.