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Gather AI

Category: AI in Supply Chain / Logistics

An AI-powered intralogistics platform that utilizes autonomous drones and computer vision to automate warehouse inventory monitoring and data collection. Gather AI was founded in 2017. The company is led by Sankalp Arora. Based in Pittsburgh, USA. Team size: 51-200. Total funding raised: $74.0M. Latest round: Series B. Key investors include ["Smith Point Capital Management","Koch Disruptive Technologies","Bain Capital Ventures","Tribeca Venture Partners","Xplorer Capital","Dundee Venture Capital"].

Founded
2017
Headquarters
Pittsburgh, USA
Team size
51-200
Total funding
$74.0M

Value proposition

Replaces manual cycle counting with autonomous drones to scan inventory up to 25x faster with 99.9% accuracy, reducing labor costs and providing real-time digital twins of warehouse stock without requiring infrastructure changes.

Products and solutions

["Autonomous Drone Fleet (utilizing off-the-shelf hardware and ModalAI Starling 2 Logis)","Gather AI Dashboard (real-time analytics and inventory insights)","Computer Vision Engine (automated barcode, text, and occupancy detection)","MHE Vision (vision software for forklifts and material handling equipment)","Gather AI Copilot (natural-language interface for warehouse data querying)"]

Unique value

A 'Physical AI' approach that decouples proprietary computer vision software from hardware, allowing the system to run on standard off-the-shelf drones and existing warehouse equipment.

Target customer

Third-party logistics (3PL) providers, warehouse operators, enterprise supply chain managers, and large-scale retailers.

Industries served

["Logistics & 3PL","Retail & E-commerce","Manufacturing","Food & Beverage","Aerospace"]

Technology advantage

Proprietary autonomous navigation for GPS-denied indoor environments and high-speed scanning capabilities (up to 900 pallets per hour) that require zero warehouse infrastructure modifications (no beacons or wires).

How they differentiate

Gather AI utilizes a 'Physical AI' software-first approach that runs on off-the-shelf drones (like DJI and ModalAI) rather than proprietary hardware. Unlike competitors that require warehouse infrastructure like beacons or floor tape, Gather AI is 'plug-and-play,' scanning 15x-25x faster than manual labor with 99.9% accuracy.

Main competitors

["Dexory","Verity","Vimaan Robotics","Corvus Robotics"]

Key partnerships

["WMS Providers: Made4Net, WISE WMS, Manhattan Associates, and Blue Yonder","Hardware Partners: ModalAI (Starling 2 Logis drones)","Strategic Integrators: Argon & Co, Peak Technologies, and Systems in Motion","Key Customers: GEODIS, NFI Industries, Kwik Trip, and Barrett Distribution Centers"]

Notable customers

["GEODIS","NFI Industries","Kwik Trip","Barrett Distribution Centers","Langham Logistics"]

Major milestones

["Acquired primary drone-inventory competitor 'Ware' in July 2023","Launched 'Gather AI Copilot,' a GenAI tool for warehouse data querying in 2024","Named to the CB Insights AI 100 list of most promising AI startups","Raised $40M Series B led by Smith Point Capital in February 2026"]

Growth metrics

Estimated $10M - $20M ARR; scans up to 900 pallets per hour; inventory accuracy improved to 99.9% for customers.

Market positioning

Market leader in autonomous drone-based inventory monitoring, specifically dominant in the Third-Party Logistics (3PL) and enterprise warehouse sectors following its acquisition of main competitor Ware.

Geographic focus

North America (Primary), with active expansion into the European and Asia-Pacific logistics markets.

Patents and IP

Holds over 20 patents in robotics, robot coordination, and collision avoidance.

About Sankalp Arora

Sankalp Arora holds a Ph.D. in Robotics from Carnegie Mellon University. He has over 15 years of experience in robotics research and engineering, notably developing safety and sensor planning for the world's first safe autonomous helicopter (a DARPA-funded project). He previously served as a Graduate Research Assistant at CMU and has been recognized with the Howard Hughes Award and AUVSI Xcellence Award.

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