Beamup

Beamup (legal entity BeamUP, Ltd.) develops autonomous AI agents for supply chain and fulfillment operations. The agents ingest and fuse signals across the 15 to 20 operational systems a typical enterprise runs — systems the company says rarely agree on the same identifiers and often carry incomplete or fragmented data — in order to detect execution failures, establish root cause with a reasoning trace, attach a dollar impact and a confidence score, and then execute a corrective action. The company frames the workflow as "find it, prove it, fix it": the first instance of a fix is validated by a human, after which the same remediation runs automatically whenever that failure mode recurs. Beamup positions itself between visibility tools, which report what happened, and planning tools, which decide what happens next.

The product is packaged as a set of purpose-built agents mapped to operational ownership areas: a Promise & Service Level Agent (SLA credits, chargebacks, cancellations, at-risk order recovery, split-shipment prevention, delivery promise and OTIF), a Loss & Fraud Agent (shrink, theft, in-transit loss, claims and fraud attribution), a Cost to Serve Agent (labor performance, units per hour, throughput bottlenecks, excess-inventory correction), an In-Transit Agent (delay, damage and loss patterns, high-risk carriers and lanes), an Inventory Shrink Agent (theft and process failures across stores and warehouses), and a Fulfillment Execution Agent (exception triage, process gaps, peak throughput). Agents are described as arriving pre-trained on common failure modes, with Beamup maintaining integrations across API, WMS and carrier changes on behalf of all customers.

An earlier iteration of the company, announced publicly in March 2022, was an AI-powered automated design and lifecycle management platform for enterprise building systems including security, IT, IoT and HVAC, targeting Fortune 500 real estate portfolios by shortening design cycles and unifying design, maintenance and operations data.

Founding story

Founder and CEO Stephane Levy, described in 2022 as a construction industry veteran and a graduate of Tel Aviv University with a bachelor's degree from the University of Pennsylvania, started the company on the premise that technology could address the fragmentation, rework and data loss endemic to building design and facility lifecycle management. The current company describes itself as built by a team that had run customer loyalty at scale and concluded that it should not be a triage operation.

Business model

Enterprise B2B software sold to operators of large supply chains. The platform is deployed against a customer's existing operational systems on a read-only basis initially, with write access scoped to human-approved corrective actions, and supports bring-your-own-cloud and on-premises deployment.

Traction

The website states the company is active in more than 20 countries and that its platform is used by Fortune-100 supply chains, and cites 11 granted AI patents. Published deployment outcomes include a 35% increase in on-shelf availability, 20% less overstock and a 20% reduction in shrink and concessions in retail, and 22% less excess inventory, 35% fewer line-stopping stockouts and a 7% increase in units per hour in manufacturing. Hiring is active, with an R&D data operator role listed in Tel Aviv.

Latest developments

The company promoted an exhibit at Booth 17 of the Generis American Supply Chain Summit on April 27-28 at the Hilton Anatole in Dallas, and lists a portfolio of six purpose-built agents together with an open R&D data operator role in Tel Aviv.