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- Named Entity Recognition (NER-LLM) | Ruby-ORIIGNAL
Named Entity Recognition (NER-LLM) | Ruby-ORIIGNAL
Ruby
Document data extractor that allows you to obtain identified/labeled information regardless of language. Automatically process documents with Ruby, detect opportunities, reduce operating costs, obtain quality data.
100+
POWER UP THE AI
By Gen-IA
Take your business to the next level
The identification, extraction, administration and analysis of recurring or potentially important information contained in documents is an arduous and even impossible task depending on the scale of business activity.
Ruby is the solution to automate your activity or process strategically and reduce process times, minimize human errors in control and increase productivity in your business in a safe, reliable and low operating cost.
Effectiveness and efficiency in obtaining and using labeled data.
Multilanguage
Our model processes data translating in up to 85 languages.
Bot As A Service
Connect with our platform to use it transparently in your business.
Reasons why you should have the help of Ruby
- Savings greater than 75% in operating costs by being efficient and effective in data identification and management.
- Filter relevant information for decision making, enhancing your business both in terms of time management and strategic planning.
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- It is customizable, flexible and adaptable. At any time you can intervene by changing the search patterns according to what you consider relevant to your activity.
- It allows you to export the processed information to Databases, CSV files, integrate them with Power BI or a company system.
Ruby
Empower Yourself
Trained in your business, your processes and your clients with your own information.
Versión 1.0.4 | 2023
- Legal files, tenders, insurance policies, etc.
- Curriculums Vitae, contracts, etc.
- Purchase and sale invoices, tickets, etc.
- Collection receipts, purchase and payment orders, remittances, others.
- Passports, IDs.
- Medical documentation (leaflets, prescriptions, others).