Processing any type of documents
Streamlines operations, freeing resources.
Precise information extraction
Using structured information to automate the processes.
Support for more than 100 languages
Thanks to multilingual deep learning methods.
"Thanks to the DataSentics we are able to precisely match jobs based on the candidate's CV. The AI solution performs tens of matching operations per second at a reasonable cost. The architecture is prepared for the company to grow."
About the Client
Dream.jobs is an innovative European tech-startup. Focused on modernizing recruitment processes through AI technology, the company aims to eliminate biases and discrimination in hiring practices. By automating candidate selection and matching, dream.jobs streamlines recruitment, saving both employers' time and effort.
Streamlined Document Handling is Essential for Meeting the Challenges of our Fast-Moving World
In today’s fast-paced business world, companies need to automate and streamline their operations. Document processing is a tedious and time-consuming task for businesses, requiring hours of manual work to extract key information from invoices, orders, or resumes. However, AI technology can simplify and expedite the process while saving valuable time and effort.
One of the biggest challenges we faced during the development process was ensuring the accuracy of the extracted information. AI model was extensively trained and fine-tuned to ensure that it could accurately identify and extract relevant data points from a wide range of document formats. However, with our team's hard work and dedication, we were able to overcome this challenge and develop a tool that delivers high levels of accuracy and efficiency.
In cooperation with Dream.jobs we have developed a solution that can extract and classify crucial information from various documents. The tool utilizes state-of-the-art technologies such as GPT, BERT transformer model and Named Entity Recognition (NER) to identify key data points.
- Processing any type of documents
- Increased precision by using deep learning methods
- Key information extraction from documents -> use structured information to automate your processes (e.g. matching of CV and job description, routing of emails and its attachments)
By automating the document processing process, valuable time and resources are freed up, which can be better utilized in other business areas. In the case of Dream.Jobs, this enables companies to streamline their hiring process by automatically matching CVs to the right open job positions. Ultimately, this also results in a user-friendly and easy way for candidates to submit their CVs and eliminates any bias against candidates.