Beehive automates the public procurement process by utilizing an AI-based search and matching algorithm to generate tailored tenders from existing purchasing data. This technology streamlines the creation and management of procurement documents, significantly reducing the time and effort required for organizations to conduct public tenders.
Funding
$360K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Public procurement processes are often time-consuming and complex, requiring significant effort to create and manage tender documents. Organizations struggle to efficiently identify relevant suppliers and ensure compliance with regulations, leading to delays and increased administrative costs.
Solution
Beehive is an AI-powered platform that automates the creation and management of public tenders, streamlining the procurement process for purchasing organizations. By leveraging a database of purchasing data and an AI-based search and matching algorithm, Beehive automatically generates tailored tenders based on an organization's specific needs. The platform facilitates question and answer management, provides automated evaluation of all positions, and enables users to create custom reports to track procurement performance and goals.
Target Audience
Beehive targets public sector organizations and large enterprises involved in public procurement, specifically those seeking to streamline their tender processes and improve efficiency.
Features
- AI-driven search and matching algorithm to automatically generate tender positions from existing purchasing data
- Centralized platform for managing questions and answers related to tenders, with impact analysis on the competitive landscape
- Automated evaluation of all tender positions, regardless of requirement type
- Customizable reporting tools for tracking procurement performance and generating automated reports
- Access to a database with over 350,000 articles and 40 million rows of purchasing data