We process and store your data in Switzerland, our home, and a country renowned for security and precision. Have specific security requirements? We’ll build you a custom IT architecture.
Your business is unique, and so are your extraction needs. Acodis reads and categorises documents just like a human would, giving you accurate, personalised extraction.
Want even more control and accuracy? Build custom extraction models in a few clicks, no coding required.
Plug and play for automatic results, and a model that scales beautifully.
Our pre-trained models are extensively tested, allowing you to start extracting data from your documents instantly.
Simply drag and drop your most used documents into the pre-trained model for fast, reliable results.
Read what real Acodis customers have to say.
"Acodis' ML technology enabled us to surprisingly accurately extract elements of complex insurance policies. This will enable us to increase the quality of our customers' coverage and enhance the efficiency of our internal processes in the future."
Executive Sponsor in Financial Services
Read the full review on G2.com
You only need a digitised version of a document you'd like to process, whether it be a scanned copy, PDF, we can even process emails or Excel spreadsheets.
Anything that is read from top left to bottom right. If you would like to process any other language, contact us.
Firstly, we need to know what data points you are interested in processing - then we have a look at some example data/documents. Then we have two options to choose from:
1. There is historical data which you can profit from - meaning that we have a PDF and a structured output - and then we reverse-label them, and thus, automatically create a training set.
2. Someone is required to annotate the documents, which can be achieved very easily via Acodis.
You only need to know how to use a computer mouse for you to be able to train a set with us.
We do not store any customer data for longer than it takes to process the document.
It is easiest to use Acodis in the cloud.
If you have special requirements for an on-premise solution, the service can be installed on your own machines via a docker container.
Document types typically have different data schemes (e.g. batch records, safety data sheets, or lab reports). In contrast, document classes have the same data scheme but differ among classes in terms of the document's structure or layout (e.g. lab reports patient A vs lab reports patient B vs lab reports patient C).
Data Points are individual information items, text fields or images, which get extracted from the document. For example, "Name", "Address, "Contract Number", "Delivery Date" etc.
Yes, the extracted data points can be validated automatically against customer-specific reference data or business rules.