BeamUP

About BeamUP

BeamUP operates as a business-to-business software provider, offering an AI-driven platform that delivers asset, operational, and risk intelligence for the supply chain and commercial real estate sectors. Founded in 2019 by Stephane Levy, who also serves as the company's CEO, the firm is headquartered in Tel Aviv, Israel, with additional offices in London and California. A significant milestone was achieved on March 30, 2022, when the company secured $15 million in a Seed funding round. This investment was led by StageOne Ventures and Ibex Investors, with participation from other institutional and angel investors.

The company's core offering consists of AI-powered autonomous data agents that analyze both structured and unstructured data from across the supply chain. This enables clients, which include Fortune 100 companies, retailers, logistics providers, third-party logistics (3PLs), and manufacturers, to automate real-time decision-making. The platform moves beyond traditional business intelligence tools by not just reporting on past performance but by continuously detecting anomalies, predicting disruptions, and identifying root causes in areas like warehousing, transportation, and inventory. For the commercial real estate industry, the platform is used to design and manage enterprise building systems, generating digital models of facilities to significantly reduce design time and improve management efficiency for systems like security, IT, IoT, electrical, and HVAC.

By emulating the work of thousands of human analysts, BeamUP's technology automates execution, allowing businesses to increase sales, reduce losses, and enhance profitability. Specific benefits for clients include reducing shrinkage, preventing stockouts, optimizing omnichannel fulfillment, improving stock availability, and mitigating delivery risks. For instance, the platform can reduce system and infrastructure design time from months to days and has been shown to improve management efficiency by 70%. It addresses the challenges of complex data in logistics, which can be difficult to leverage with traditional methods. The business model is geared towards large enterprises, offering solutions that provide cost savings, operational optimization, and risk mitigation.