Gather AI

What Gather AI does

Gather AI is a Physical AI platform for logistics that provides companies running warehouses with a continuous, accurate picture of their operations. The platform, Gather AI Prana, observes the warehouse continuously using computer vision and AI, reasoning over what it sees alongside existing systems. This ensures the network operates on current ground truth, offering dock-to-dock intelligence and a live operational view for all roles, from the floor to the C-suite. It aims to improve inventory accuracy, operational productivity, and provide network-wide outcomes by standardizing best practices across multiple facilities.

Products

• Gather AI PranaThe core intelligence layer for warehouses, providing continuous visibility, reasoning, and action capabilities across operations. It integrates with existing WMS, LMS, ERP, and BI systems.
• Prana VisionA component of Prana that uses drone and MHE (Material Handling Equipment) form factors to continuously observe the warehouse floor. It reads over ten structured insights from every image, including true empty detection, 3D case counts, damage identification, and LPN-to-location verification, trained on millions of real warehouse observations.
• Prana SageA component of Prana that reasons across operational data (from Vision and existing systems like WMS, LMS, ERP, BI) to turn data into actionable decisions. It identifies exceptions, investigates root causes, ranks priorities, and suggests workflows with confidence scores before a shift starts.
• Prana WorkflowsA component of Prana that translates decisions from Sage into actions on the floor. It routes recommendations as tasks to the right person or system, handling pick-ups, drop-offs, replenishments, and exception holds. It also allows for creating workflows in plain English and provides step-by-step guidance for floor teams.

Key capabilities

• Total physical visibility across every location and pallet
• Continuous monitoring of inventory and movement
• Computer vision trained to extract 10+ structured data points from every frame
• AI-powered operational intelligence for root cause analysis across inventory, labor, and fulfillment
• Automated workflows for decision-making and task routing
• Closed-loop system for capture, reasoning, and action
• Drone-based imaging for inventory at rest
• MHE-mounted cameras for inventory in motion
• True empty detection
• 3D case counts
• Damage identification
• LPN-to-location verification
• Integration with WMS, LMS, ERP, and BI systems
• Trained on millions of real warehouse observations
• Software-first and hardware-agnostic, runs on off-the-shelf devices
• 25x faster than manual audits at 99.9% accuracy
• Built for network scale with a Center of Excellence model
• Autonomous scanning in ambient and cold chain environments (down to -20°F)
• Photographic proof attached to every observation
• AI agents for continuous operational data monitoring and root cause investigation
• Plain language querying for reports and insights
• Workflow creation in plain English or AI-recommended
• Step-by-step guidance for floor teams
• Workflow templates for consistent network standards

Use cases

• Achieving 99.9% inventory accuracy
• Reducing manual counting hours
• Improving operational productivity
• Establishing continuous ground truth across multi-facility networks
• Monitoring raw materials, WIP, and finished goods in manufacturing
• Ensuring SLA compliance for 3PLs
• Providing continuous inventory intelligence for retail fulfillment
• Maintaining live visibility and audit trails for cold chain and ambient food & beverage operations
• Ensuring chain of custody and audit trails for healthcare and pharma logistics
• Detecting misallocated pallets at the rack
• Identifying damage and risk patterns in production
• Resolving exceptions and ensuring traceability in manufacturing
• Monitoring lot codes, serialization data, and condition in healthcare/pharma
• Building compliance intelligence for audits (DEA, FDA, DSCSA)
• Improving OTIF (On-Time, In-Full) and order accuracy in F&B
• Building FSMA (Food Safety Modernization Act) traceability records in F&B
• Reducing pallet emergencies
• Automating exception handling and task routing
• Guiding floor teams through tasks with real-time confirmation

AI approach

Gather AI uses Physical AI, which involves computer vision trained to extract structured data from imagery captured by cameras on forklifts and drones in warehouses. This data is then processed by an AI called Sage, which reasons across various operational systems (WMS, LMS, ERP, BI) and the live floor data to identify root causes, prioritize actions, and generate workflows. The system is trained on millions of real warehouse observations and continuously learns.

Tech named: computer vision, AI, machine learning, Deep Learning, 3D Convolutional Networks, VoxNet

Industries served

• Software Development
• Logistics
• Manufacturing
• 3PL (Third-Party Logistics)
• Retail
• Food & Beverage
• Healthcare
• Pharma

What it says sets it apart

• Physical AI platform for logistics
• Dock-to-dock intelligence across every facility in a network
• Continuous, accurate picture of the floor
• Intelligence to understand operational data and workflows to act on it
• Prana platform observes, reasons, and acts
• Perception layer behind cameras and drones extracts 10+ structured data points where other models fail
• AI investigates root cause across inventory, labor, and fulfillment
• Closed loop system for capture, reasoning, and action under one platform
• Trained on millions of real warehouse observations, sharper with every one
• Software-first and hardware-agnostic, runs on off-the-shelf devices
• Built for network scale with a Center of Excellence model
• Autonomous scanning in cold chain environments down to -20°F
• Provides photographic proof for every observation
• AI agents continuously monitor data and surface issues with recommended actions and confidence scores
• Allows for plain language queries and workflow creation
• Provides step-by-step guidance for floor teams
• Proven ROI with 6-month average payback per facility deployment
• Founded by experts from robotics, computer vision, and logistics operations from Carnegie Mellon

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.