MileZero
Seattle-based logistics cloud software company optimizing last-mile and middle-mile delivery fleet operations; acquired by Capstone Logistics.
MileZero was a Seattle, Washington-based logistics software company founded in 2014 by Charles Griffith, former Vice President of Transportation Technology at Amazon. The company developed a cloud-based logistics automation platform enabling enterprise retailers and carriers to deploy and optimize last-mile delivery capabilities, tracking shipments through sort centers, dispatch, middle-mile route points, and final delivery. MileZero's system provided real-time fleet tracking, routing optimization, and delivery management for large-scale logistics networks.
The company attracted investment from Plug and Play, Playground Global, SignalFire, and BAM Ventures. MileZero was subsequently acquired by Capstone Logistics, a major North American supply chain solutions provider, and operates as a Capstone company. The platform supports autonomous and semi-autonomous logistics workflows.
Primary type & automation activities this supplier delivers:
Contact MileZero
WEBSITE
https://milezero.aiPHONE
+1 302-674-1221HEADQUARTERS
United States
Company Facts
Founded
2014
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
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Understanding the Concept of 'Open' in Industrial Automation
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Exploring the Impact of Manipulated Inputs on Robot Safety Functions
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Sponsored Content VicOne
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Physical AI Requires a Fourth Verb: Verification for Production Accuracy
Physical AI is commonly defined as machines that perceive, reason, and act in the physical world. However, this definition lacks a crucial fourth verb: verify. In production environments, acting does not equate to producing conforming parts, as demonstrated by a humanoid robot at BMW's Spartanburg plant, which successfully placed over 90,000 components with a 99% success rate per shift. The importance of verification lies in ensuring that produced parts meet specified tolerances. While the robot's execution rate is impressive, it does not guarantee that the assemblies are within acceptable limits due to various factors such as fixture wear and thermal drift. The introduction of in-line dimensional inspection has made it feasible to measure critical characteristics and compare conformance rates against reported success rates, highlighting the need for this fourth verb in the definition of Physical AI. Going forward, the industry must focus on integrating verification into the acceptance criteria for Physical AI systems. This shift will enhance the reliability of production processes, ensuring that machines not only report their actions but also the quality of their outputs. No further timeline was disclosed at the time of publication.
Factory / Digital Transformation
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Factory / Analytics
U.S. Army Trials Military Humanoids Amid Diverse Development Stages and Ambitions
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Skylark Labs Foundation IHMC
Igus Introduces New DeviceNet Cable for Dynamic Robotics with Enhanced Durability
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SemiDrive and Radxa Introduce RoboX D9M Robot Motion Controller Featuring D9-Max Chip
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Advancements in Robotics Transforming Manufacturing Landscape
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eBooks Industrial Robots Manufacturing News
First Domestic Humanoid Robot Showcases Fully Localized Electronic Architecture
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Humanoid Robots AI Robotics Safety Industrial Automation
RobotToday Weekly September 21 – 25, 2026
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Software, Compute and Interaction at WRC 2026
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