Jacobi Robotics provides the OmniPalletizer, an AI‑driven software‑defined palletizing system that can handle live, unsequenced mixed‑case streams directly on existing conveyor lines. Using real‑time perception, a physics‑aware digital twin, and a dynamic rule engine, it optimizes stacking stability, crush limits, and pallet utilization without requiring upstream sequencing or major facility changes.
Funding
$5M 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.
6OFounders
Product
Problem
Warehouse palletizing operations often rely on rigid automation that requires upstream sequencing, fixed case patterns, and extensive infrastructure. This makes it difficult to handle mixed-case, variable SKU flows, leading to manual labor, safety risks, and inefficient pallet utilization.
Solution
Jacobi Robotics offers the OmniPalletizer, an AI‑driven, software‑defined palletizing system that operates directly on live, unsequenced case streams. By continuously perceiving incoming cartons, reasoning about stability, crush limits, aisle‑friendly grouping, and stop‑based sequencing, the system plans and validates robot motions in real time using a digital twin simulation. It can be installed into existing conveyor lines without major facility changes and learns from ongoing operations to improve performance. Operators interact through an intuitive HMI that provides real‑time monitoring, exception handling, and step‑by‑step guidance, enabling rapid deployment and minimal training.
Target Audience
Primary customers are warehouse operators and distribution centers in retail, grocery, pharma, e‑commerce, and logistics that need automated mixed‑case palletizing, as well as system integrators seeking a plug‑and‑play AI palletizing solution for their robotic portfolios.
Features
- Real‑time perception and dimension measurement of each case, eliminating the need for predefined recipes or upstream buffers
- Physics‑aware motion planning with a digital twin that simulates every placement before execution
- Dynamic rule engine that enforces heavy‑to‑light stacking, crush limits, aisle‑friendly grouping, and stop‑based sequencing across thousands of SKUs
- Adaptive robot control that maintains up to 90% cube utilization and 100% pallet stability even with random mixed‑case flows
- Brownfield‑native cell design that integrates into existing conveyor lanes without extensive redesign
- Operator HMI with live pallet visualization, exception alerts, and training that can be completed in less than one day
- Multi‑pick capability and fast robot motions optimized for high‑throughput environments such as grocery, parcel, and inbound receiving