Step 1
Our classification engines are trained with more than 200 document types and we continue to add new documents on a daily basis with each new project.
Step 2
Next, and as a previous step to the extraction, the different types of documents are segmented in order to understand where each one of them begins and ends.
Step 3
Based on the specifications agreed with the client, we proceed to extract the number and type of data from the documents.
Step 4
In certain projects, validation tasks are performed in addition to extraction, to check data such as amounts, dates or other identifying information.
Evaluation
1 week
We perform an audit of the client's process or processes.
Analysis of the documents and data to be extracted from each type of document.
We give an estimate in terms of level of automation and response times.
Pilot
1 month
With a small batch of documentation we train our models and agree on the output format with the customer.
We delivered the agreed results and held a meeting to review the main metrics obtained.
Production
3 months
We implement the solution in the production environment agreed with the client (Cloud / On Premise).
We monitor its correct operation and deliver periodic follow-up reports to the client.
The automation of manual processes through technology and Artificial Intelligence allows redistributing resources to higher value-added tasks while reducing response times and increasing quality levels.
Cost reduction
Increased quality
Error reduction
Increased level of service
Scalability and Response Times
24/7 operation
We have been specializing in process automation through AI for 15 years, collaborating with leading research centers to ensure that we are always at the forefront of new developments.
Computer Vision
Natural Language Processing
Neural Networks