Automated Tender Discovery using NLP (Natural Language Processing)

Cube RM Tender Central can automatically connect to multiple online tender sources, such as TED (Tender Electronic Daily), and consolidate all information into a single source of truth. It can also identify relevant tenders and lots, leveraging NLP and search automatically for molecules, therapeutic areas, disease, indications, product category, or other keywords. Furthermore, the user can filter incoming tenders by using release & submission dates, budget, or other criteria.