Gather AI is Building Dock-to-Dock Intelligence: Physical AI for Complete Intralogistics

Gather AI, bringing deep learning, autonomy, and computer vision to the supply chain, led by Sankalp Arora, Daniel Maturana, Geetesh Dubey, and Andrew Hoffman, has raised $40M in Series B funding led by Smith Point Capital Management.

Activity between the receiving and shipping docks is often only partially visible. While systems track planned operations, the true flow of goods through the facility remains largely hidden, an insight Physical AI is designed to reveal.

Physical AI first proved its value through inventory intelligence, delivering 99.9% accuracy, cutting manual counting by 80%, and achieving ROI in under six months, even when traditional sensors failed. This established reliable, ground-truth visibility into inventory, location, and condition.

The Series B funding extends this approach beyond inventory to full dock-to-dock operations, capturing physical reality across every product movement and warehouse.

The Three Layers of Intelligence

Inventory Intelligence provides real-time visibility into existing stock, location, and condition, establishing a verified operational baseline that improves downstream decisions.

Workflow Intelligence applies Physical AI to map how work actually moves from receiving to shipping, digitizing complete dock-to-dock operations.

Predictive Intelligence builds on real-time data to identify patterns and surface emerging risks before disruptions occur.

Most warehouses optimize individual processes in isolation due to limited visibility across the full dock-to-dock flow. Physical AI connects these signals, enabling system-level optimization. The result is complete operational visibility, from arrival to shipment, with every product tracked, every movement understood, and facilities unified through Physical AI.

The $40M investment accelerates three priorities:

Global Expansion: Deployment of Physical AI across hundreds of additional facilities in North America, Europe, and Asia, forming an interconnected intelligent network.

Platform Development: Advancement of workflow intelligence and predictive AI capabilities to deliver full dock-to-dock visibility.

Enterprise Scale: Expansion of the team to support large, organization-wide deployments with faster implementation and dedicated support.

Dock-to-dock intelligence creates a compounding advantage by improving inventory accuracy, workflow optimization, and predictive operations across the full facility flow.

As Physical AI scales across warehouses, insights strengthen through shared patterns, best practices, and network effects. By replacing buffers and assumptions with verified visibility, Physical AI removes the inefficiency long accepted as normal in warehouse operations.