Palladyne Ai Corp. · NASDAQ:PDYN

Palladyne Ai — Investor Presentation (April 2025)

25 slides from Palladyne Ai's investor presentation, Apr 2, 2025

  1. Slide 1: Artificial Intelligence that Enables Robots and Drones to Think Like Humans

    Artificial Intelligence that Enables Robots and Drones to Think Like Humans and Perform Real-World Complex Tasks Exhibit 99.1 April 2025

  2. Slide 2: Disclaimer

    Disclaimer This presentation and any related oral statements contain forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 including, but not limited to, statements regarding Palladyne AI’s business strategy, projections of market opportunity, anticipa

  3. Slide 3: Palladyne AI At-a-Glance

    Palladyne AI At-a-Glance NASDAQ PDYN Experience 30+ years of robotics engineering excellence. Technology team led by CTO with 25+ years of AI/ML expertise >70 team members, world-class robotics & AI/ML software engineers Salt Lake City, UT Innovation and operations Robotics DNA 30+ years in robotics

  4. Slide 4: Palladyne AI: 30+ Years of Innovation and Evolution

    Palladyne AI: 30+ Years of Innovation and Evolution 1983 2015 2021 2024 2007 Purchase from Raytheon (2015) Raytheon Buys Sarcos (2007) Sarcos Spins Out of University of Utah (1983) Sarcos Robotics Begins Trading Publicly (2021) Sarcos Becomes Palladyne AI (2024) 2019 2022 2023 2024 2025 Palladyne IQ

  5. Slide 5: Our Vision: To Automate Tasks Too Complex for Traditional Automation

    Our Vision: To Automate Tasks Too Complex for Traditional Automation by Enabling Machines to Observe, Learn, Reason & Act Like Humans Substantially accelerate speed of programming and training Increase agility, task sets and use cases Reduce need for human intervention and oversight Reduce cost of s

  6. Slide 6: Automation of Complex Tasks Has Been Limited For Several Reasons

    Automation of Complex Tasks Has Been Limited For Several Reasons: Large language models. Most industrial robots are highly programmed for a single specific task and cannot process variations in objects, tasks, or the environment Programming and implementation of industrial robots have been time-cons

  7. Slide 7: Physical Intelligence for a Wide-Array of Robotic Form Factors

    Physical Intelligence for a Wide-Array of Robotic Form Factors1 Expected to Enable Stationary and Mobile Robotic Platforms to be Agile and Autonomous, Reduce Human Intervention and Increase ROI Designed to work with most industrial robots being sold today. According to the Proficient Market Insights

  8. Slide 8: Palladyne IQ: AI Software Platform for Robotics

    Palladyne™ IQ: AI Software Platform for Robotics Real-Time Closed-Loop Autonomy Software to Enable Machines to Observe, Learn, Reason, and Act Like Humans Based on internal testing, actual figures will vary depending on complexity of the task. Act Precise robotic control & completion of tasks Comple

  9. Slide 9: Expected Advantages of Palladyne IQ

    Expected Advantages of Palladyne IQ How Our Approach Differs Hardware agnostic1 Addresses robotic-specific challenges beyond integration Solves for system stability and pose estimation/end effector orientation Robots able to plan and execute complex combination of tasks over extended periods of time

  10. Slide 10: Our AI Approach vs "Brute-Force" Foundation Models

    Our AI Approach vs "Brute-Force" Foundation Models How the Palladyne AI Approach Differs from the Traditional Foundational Model Approach Inference Constraint satisfaction problems Aspect Foundational Model for Robotics Palladyne AI Approach Model Size Large – often in the range of hundreds of milli

  11. Slide 11: Market Opportunity for Palladyne IQ

    Market Opportunity for Palladyne IQ Millions of complex but dangerous or boring jobs Existing Industrial Robot Installed Base Repetitive Tasks Currently Performed by Humans Opportunity to Augment Existing Industrial Robots Millions of existing installed industrial robots

  12. Slide 12: Product Assembly

    Product Assembly Sub Parts Assembly1 Tasks Structured manufacturing line with task variability Challenges Manufacturing downtime: Changes in assembly parts/tasks can result in costly robot retraining and extended downtime Opportunity & Expected Benefits Quickly retrain robots to perform new tasks wi

  13. Slide 13: Kitting and Parts Sequencing

    Kitting and Parts Sequencing Pick/Place/Sort Parts into Assembly Kits/Containers1 Tasks Kitting and parts sequencing for complex assemblies Challenges Difficult to automate: Can require sophisticated planning, human intervention & high programming costs Variability in parts: Can lead to inefficienci

  14. Slide 14: Heavy Material Handling & Truck Loading

    Heavy Material Handling & Truck Loading1 Pick & Place of Heavy Materials onto Transport Vehicles Tasks Picking pipe and rods from various inventory bins and transferring to transport vehicles in the loading yard (drill rig, pipe truck, or skid) Challenges Variability and unstructured environments ma

  15. Slide 15: Surface Preparation

    Surface Preparation Grit Blasting, Hydro Blasting, Sanding, and Grinding1 Tasks Removal of paint, rust, and debris from surfaces using various media blasting and grinding tools: Heavy Manufacturing: Prepare components, chassis, and heavy machinery for finishing processes Structural Maintenance & Rep

  16. Slide 16: Video: Simulated Autonomous Surface Prep

    Video: Simulated Autonomous Surface Prep1 Media Blasting, de-painting, sanding, and hydro-blasting: Applicable for manufacturing, construction, and various repair & maintenance workflows 1. Video is from May 2024 MUA Demonstration showcasing autonomous media blasting, de-painting and teleoperated sa

  17. Slide 17: Quality Control Inspection

    Quality Control Inspection In-process and Final Quality Checks for Equipment Manufacturing1 Tasks Automate manual visual inspections at various assembly stages to ensure quality standards are met Challenges Labor intensive & time-consuming process: Complex components like servers require 100+ inspec

  18. Slide 18: Palladyne Pilot: Closed-loop Autonomous Detection, Tracking, and Control

    Palladyne™ Pilot Closed-loop Autonomous Detection, Tracking, and Control for Mobile Machines Solutions Overview

  19. Slide 19: Palladyne Pilot for UAV Surveillance/Reconnaissance Tasks

    Palladyne Pilot for UAV Surveillance/Reconnaissance Tasks Persistent detection, tracking, and classification of targets Challenges Highly unstructured environment – in flight High levels of uncertainty Personnel-intensive missions requiring multiple roles and shifts Opportunity & Expected Benefits A

  20. Slide 20: Challenges for Current UAV-Based Missions in Military Operations

    Challenges for Current UAV-Based Missions in Military Operations Drone-based missions are personnel-intensive and require multiple roles and shifts to maintain situational awareness Today, most tactical UAVs require manual 1:1 platform control and one-to-many data coordination Real-time decision-mak

  21. Slide 21: Palladyne Pilot: Closed-Loop Autonomy for UAVs

    Palladyne™ Pilot: Closed-Loop Autonomy for UAVs Cooperative Autonomous Sensing for Enhanced Surveillance and Reconnaissance

  22. Slide 22: Enhanced Situational Awareness: Sensor Control and Multi-Modal Sensor Fusion

    Control of sensors only; does not control UAV/UGV’s flight or navigational functionalities. Enhanced Situational Awareness: Sensor Control and Multi-Modal Sensor Fusion Multi-Modal Sensor Fusion: Fuses multi-modal data from multiple distributed autonomous sensors and actively controls sensors to max

  23. Slide 23: Autonomously Collaborating Drone Team Maximizes Situational Awareness

    Autonomously Collaborating Drone Team Maximizes Situational Awareness Enables a single operator (on-the-loop) to command and control autonomous drone operations that provide intel on current target tracks while searching for new targets Drones control sensors via reinforcement learning to maintain t

  24. Slide 24: Scale Operational Effectiveness of Tactical-Class UAV Missions

    Scale Operational Effectiveness of Tactical-Class UAV Missions Through Enhanced Human-Machine Synergy Provide a single-source, fully-integrated software stack that transforms UAVs into autonomous collaborative assets Enable a network of collaborating drones and sensors that self-orchestrate when int

  25. Slide 25: Thank You

    we )) PALLADYNE AI Thank You in) Linkedin.com/company/palladyneaicorp e) www. palladyneai.com (2) info@palladyneai.com e (888) 927-7296 PALLADYNE Al PROPRIETARY

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