CereBI

Multi-Agent AI Platform for Autonomous Supply Chain Intelligence and Optimization

Automotive & Mobility Technologies
Private
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Company Overview

Snapshot

Founded in January 2024 by Eran Attedgi, Dor Trainic, and Shy Alon, CereBI operates with 1–10 employees. The company is currently in the R&D product stage, focusing on developing its multi-agent AI platform.

Business overview

CereBI is a deep-tech Enterprise SaaS company that provides an intelligent overlay for managing complex physical supply chains. Its core technology unifies fragmented data from disparate systems like ERP, WMS, CRM, and IoT to create a synchronized data layer. By mapping the ripple effects of anomalies, CereBI's platform enables real-time optimization of Available to Promise (ATP) commitments, serving large-scale organizations in sectors such as Automotive & Mobility Technologies, Industrial Technologies, and Business Software, with a focus on Logistics & Transportation Management and Operational Optimization Solutions.

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Company Intelligence Q&A

What is CereBI's primary focus?
CereBI focuses on transforming how large-scale organizations manage complex physical supply chains using a multi-agent AI platform for autonomous intelligence and optimization.
When was CereBI founded and by whom?
CereBI was founded in January 2024 by Eran Attedgi, Dor Trainic, and Shy Alon.
What problem does CereBI aim to solve for enterprises?
CereBI aims to address the 'Planning Horizon' collapse in modern enterprises, where static quarterly plans fail due to real-world disruptions, by enabling proactive, data-driven adaptivity in supply chain management.
What technology does CereBI utilize?
CereBI utilizes a multi-agent AI platform that acts as an intelligent overlay to unify fragmented data from existing infrastructure like ERP, WMS, CRM, and IoT, creating a synchronized data layer for real-time optimization.
What is the current product stage of CereBI?
CereBI is currently in the R&D product stage, developing its platform for autonomous supply chain intelligence and optimization.
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