Agility heads to Nasdaq, Teva's AI selection, Korea's humanoid data factory

Published by · November 4, 2026Daily · 3 items picked from 559 collected
Today

Agility Robotics heads for Nasdaq, Teva explains how it picks AI for its 30 factories, and Korea opens a data factory for humanoid robots.

Factory floor

  1. Teva evaluated about 300 AI technologies in one year for its 30 factories

    Teva Pharmaceuticals evaluated approximately 300 technologies in one year through its Teva Rise open innovation platform, which covers a 30-factory network. Operations account for around 70% of Teva's cost structure. Instead of a proof of concept, Teva runs a proof of value that asks whether a tool works in its environment, scales across sites, fits a regulated setting and gives output users can trust.

    Source: IIoT World · iiot-world.com · Nov 4, 2026

Robotics

  1. Korea's KIMM opens a data factory where 12 humanoid robots produce AI training data

    The Korea Institute of Machinery and Materials (KIMM) opened its AI Humanoid Data Factory on November 3, built with ETRI. Human operators remotely control 12 humanoid robots through real-world tasks, and the recorded movements are used to train AI models. KIMM plans to expand both the number of robots and the range of tasks.

    Source: EurekAlert! · eurekalert.org · Nov 4, 2026

Deals & funding

  1. Agility Robotics clears its shareholder vote and is scheduled to trade on Nasdaq as AGLT

    Churchill Capital Corp XI shareholders approved the $2.5 billion combination with Agility Robotics, with more than 84% of votes in favor, according to a news release. Agility has raised $465 million as part of the deal, so it enters the public markets with minimal or no debt. Its common stock is scheduled to begin trading on Nasdaq under the ticker AGLT on Thursday.

    Source: Manufacturing Dive · manufacturingdive.com · Nov 3, 2026

From the tracker

Counts from our deployments tracker on the day this issue was published: named customers only, each with a source.

How this post was made: a script collects items from trade press and news searches, drops duplicates, press-release wires and stories already covered, and keeps the last 2 days. AI picks 2 or 3 and summarizes them under a fixed rulebook; a second script checks every link, number and name against the source before publishing. Full method.

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