mortgages or importers waiting for inspection reports. Hypercell, the AI-native platform from HyperScience, reads, understands, and processes documents with 99.5% accuracy. It continually learns and adapts to an organization’s documents, enabling the
automation of various processes, such as contract review and claims decisioning. DISA is leveraging arti cial intelligence primarily to automate document sorting and processing, such as extracting information from driver quali cation les.
“Our AI-driven automation has resulted in a 99.5% accuracy rate in document classi cation and the vast majority of classi cation is now automated,” Spencer says. “This has saved time and money and enhanced our ability to scale.” n
AI Superpowers Warehouse Robotics AGILITY ROBOTICS Agility Robotics uses NVIDIA’s AI acceleration platform for real-time perception and virtual environments. Additionally, the company is integrating new AI capabilities into Spot, its quadruped robot, and Orbit, its fleet management software. DEMATIC
reinforcement-learned controllers onboard its humanoid robot Digit. The platform allows humanoid robots to host robust models that can process sensor data and make decisions in real time to improve interactions with humans in dynamic environments.
Dematic uses AI to power the software that coordinates warehouse operations— adapting workflows, predicting demand, and guiding autonomous robotics. This intelligence enables faster, more responsive decision-making to help customers meet shifting supply chain demands.
Agility Robotics is expanding adoption of NVIDIA Isaac Sim and NVIDIA Isaac Lab robot simulation and learning frameworks to train and test behaviors on Digit. Using these frameworks, which have AI models trained across billions of instances, Digit can improve via reinforcement learning in areas such as stability and step recovery. AMAZON ROBOTICS Amazon’s robotic system, Sequoia, uses AI, robotics, and computer Shreveport, Louisiana. Speeding up order transactions, it works by relying on mobile robots to transport inventory directly to a containerized storage system or to an employee picking out items for a customer order. AMBI ROBOTICS Ambi’s AI-powered AmbiStack automates pallet packing by analyzing, tracking, picking, and placing packages using over 200,000 hours of vision systems to consolidate inventory and free up storage at its fulfillment center in
OSARO OSARO, a provider of machine-learning-enabled robotics for high- volume fulfillment centers, launched OSARO AutoModel, which enables robots to automatically learn and adapt to new items, processes, and workflows in real time, minimizing downtime. It accelerates the introduction and onboarding of new SKUs and increases robot productivity in kitting, piece-picking, and autobagging. LAB0 Already deployed at Dollar Tree, Lab0’s AI-powered robotic system uses two autonomous arms in tandem with sliders to pick and unload packages. Designed for high-volume distribution centers, the automation system uses NVIDIA Isaac Sim, a robotics simulation platform built on NVIDIA Omniverse, and NVIDIA Isaac Lab, a framework for simulation and reinforcement learning. These technologies enhance real-time perception, decision-making, and robotic precision. ZENATECH ZenaTech’s subsidiary, ZenaDrone, is developing an AI-powered drone swarm – a coordinated group of autonomous drones that communicate and work together using AI and real-time data sharing
warehouse data. The company’s new foundation model, PRIME-1, was pre- trained on 20 million images from 150,000 hours of robotic sorting operations. PRIME-1 enhances AI-powered robotic performance by enabling advanced 3D reasoning for
to perform tasks collaboratively without direct human control – application for inventory management and security. This system uses autonomous IQ Nano drones that communicate and collaborate in real time without direct human control. Equipped with integrated sensors, high- quality cameras, and AI-driven data
tasks like depth estimation and picking. This technology improves efficiency, reliability, and adaptability in warehouse automation. BOSTON DYNAMICS Boston Dynamics is advancing AI capabilities for humanoid robots through its collaboration with NVIDIA. Its Atlas robot leverages the NVIDIA Jetson Thor platform to run complex AI models for whole- body control and manipulation. Using Isaac Lab, Boston Dynamics is developing advanced AI policies for dexterity and locomotion in
analysis, the IQ Nano enables efficient automation. With at least 20 minutes of flight time and automatic battery recharging, it ensures stability, safety, and obstacle avoidance.
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