IN-D AI is an R&D-led company that leverages the power of AI to enable financial systems to 'reduce risk' and 'reduce cost', an otherwise tough trade-off that COOs grapple with. It has a core engine that uses Computer Vision, ML and NLP techniques to extract data from documents to make the customer experience seamless, operations costs lower and decision systems smarter.

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Chief Business Officer

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IN-D AI engine uses machine learning and computer vision technologies to digitize and extract necessary data from invoices in batches without the need to setup a template. 

  

The IN-D Payables can understand more than 15 general attributes and all the table information. The engine is capable enough to do document cleansing that removes the stamps and other scribbles on a typical invoice and thus improving the extraction accuracy. 

  

The engine also gives a confidence score for each attribute with which a threshold can be set in the workflow to decide upon whether to accept the extracted data as such or needed to get validated manually before further processing. This component will act as a connector to use IN-D Payables in UiPath.

  

Zero touch Accounts Payable: Improve productivity by reducing thousands of staff working in Finance & Accounting operations worldwide. Use IN-D to read invoices and receipts for Accounts Payables automation & integration to ERP, thereby improving  AP productivity by about 50%.

IN-D has been trained on a large sample set of invoices making it completely template independent and highly accurate.

IN-D Payables digitizes invoice and extracts necessary data independent of templates, understanding 15+ attributes and table information thus eliminating manual invoice processing in accounts payable.

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MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Version	Release Date	Download Link
1.0	April 27, 2021
Released as Downloadable Snippet
1.0	April 15, 2021
Released as Downloadable Snippet
1.0	April 2, 2021
Released as Downloadable Snippet