Gather AI lands $40M to scale 'curious' warehouse drones that eliminate supply chain blind spots

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Gather AI raised $40 million in Series B funding led by former Salesforce co-CEO Keith Block's Smith Point Capital. The Pittsburgh startup uses AI-powered warehouse drones and cameras to deliver 99.9% inventory accuracy, helping major logistics companies eliminate operational blind spots. The funding follows 250% bookings growth and positions Gather AI as a leader in Physical AI.

Gather AI Secures $40 Million Series B Funding Led by Keith Block's Firm

Gather AI has closed a $40 million Series B funding round led by Smith Point Capital, the venture firm founded by Keith Block, former co-CEO of Salesforce

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. The investment includes participation from Bain Capital Ventures, Tribeca Venture Partners, Bling Capital, Dundee Venture Capital, XRC Ventures, and new investor The Hillman Company, bringing the Pittsburgh-based startup's total funding to $74 million

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. The Gather AI team first connected with Smith Point Capital at a logistics conference a year ago, and according to co-founder and CEO Sankalp Arora, "it took Keith and his team five minutes to get what we're doing"

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Source: TechCrunch

Source: TechCrunch

How Physical AI and Warehouse Drones Eliminate the Reality Gap

Gather AI operates at the intersection of robotics and logistics, offering an AI platform for warehouse cameras and drones that addresses a critical problem: the physical-digital divide. Global logistics companies lose billions annually because warehouse activity rarely matches digital system records, creating operational blind spots that lead to missed shipments, excess inventory, labor inefficiencies, and margin erosion

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. The startup's solution uses off-the-shelf cameras mounted on equipment like forklifts and warehouse drones flying through facilities to monitor operations and sync real-time inventory data directly into warehouse management systems

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. What sets this technology apart is its "curious" approach—the AI doesn't scan randomly but actively seeks out barcodes, lot codes, text, expiration dates, case counts, damages, and occupancy issues to predict problems like low inventory and misplaced stock

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Carnegie Mellon Roots and Bayesian Techniques Power Vision AI

The four founders met as PhD students at Carnegie Mellon University, where they built one of the first autonomous helicopters and tested it on FBI training grounds in Quantico

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. Arora's doctoral work focused on making flying robots curious, a concept now central to the company's warehouse inventory management approach. Unlike modern AI systems built on large language models, Gather AI's technology predates that era and relies on classical Bayesian techniques combined with neural networks

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. These AI-powered vision systems use probability-based methods to interpret visual data, allowing the technology to learn from data and prior knowledge without suffering the hallucination problems common to LLMs. The robots "get curious" to gather information and make decisions based on what they've learned, creating a more reliable foundation for embodied AI—robots that interact with the real world rather than just digital interfaces

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Proven Results Drive 250% Bookings Growth

The investment follows significant momentum for Gather AI, which doubled its operational footprint and grew bookings by 250% over the past year

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. The platform now serves major logistics and manufacturing enterprises including GEODIS, NFI Industries, Kwik Trip, Axon, dnata, Barrett Distribution, and Langham Logistics

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. Customers achieve 99.9% inventory accuracy, reduce manual counting effort by up to 80%, and improve productivity by 5x, with most realizing ROI in under six months

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. The technology also operates in environments challenging for human workers, such as freezers and cold storage facilities

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From Reactive Monitoring to Proactive Supply Chain Orchestration

Block views Gather AI as building "a foundational intelligence layer for the modern supply chain," predicting it will become "the system of record for every warehouse, factory, and yard"

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. Arora emphasizes that the funding enables a critical shift in capabilities: "Our customers aren't just finding problems faster. They're preventing them entirely. That shift from reactive to proactive is what transforms Physical AI from a nice-to-have into the operating system for modern logistics"

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. The startup's models are trained on millions of proprietary warehouse images, enabling robots to see, count, and verify both static and moving inventory in complex environments where standard sensors fail

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. This automated oversight transforms warehouses into intelligent nodes that optimize working capital and ensure end-to-end supply chain reliability

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What's Next for Intralogistics and Autonomy

With approximately 60 employees currently, Gather AI plans to use the fresh capital to expand to hundreds of additional facilities globally and develop predictive capabilities for proactive inventory management

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. The company is scaling its engineering and customer success teams to support enterprise-wide deployments and expanding across North America, Europe, and Asia

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. In December, the startup won the 2025 Nebius Robotics award for Vision AI and Streaming Video Analytics, positioning it at the forefront of Physical AI development

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. As enterprises grapple with rising operational complexity and margin pressure, the ability to bridge the physical-digital gap in real time may determine which supply chains thrive in an increasingly competitive landscape.

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