Key Highlights

• Palantir and Changshin announced a Partnership to deploy Palantir Foundry and AIP across Changshin's footwear development and production operations.

• The collaboration aims to connect development decisions with factory planning and execution for improved end-to-end visibility.

• The partnership builds on an AgentCamp where Changshin engineers worked with Palantir using live operational data to demonstrate initial workflows.

• Changshin, founded in 1981, employs approximately 80,000 people and has produced over 1 billion cumulative pairs of shoes.

Palantir Technologies Inc.(NASDAQ:PLTR) and Changshin, a global footwear manufacturer headquartered in Busan, South Korea, announced a partnership on November 4, 2026, to apply Palantir's Foundry and AIP platforms across Changshin's development and production operations. The collaboration is designed to connect information and workflows spanning footwear development and sample planning through factory production, with the goal of providing teams with greater visibility across the entire Manufacturing process.

Connecting Development to the Factory Floor

The partnership focuses on bridging the gap between decisions made during the footwear development phase and their impact on factory operations. By bringing together information and feedback from across the process, Changshin teams aim to identify issues earlier in the production cycle, reduce friction during handoffs between development and manufacturing, and use production outcomes to inform future design and planning decisions.

The collaboration grew out of a recent AgentCamp, a hands-on session where Changshin engineers and Palantir worked together using live Changshin operational data to demonstrate initial AI-driven workflows. The next phase of the partnership will build on these starting points to more deeply connect development decisions with factory planning and execution.

Changshin CEO CI Nam explained that decisions made during the development phase define how the company operates on the factory floor. He described the partnership as a means to connect those decisions with production feedback, enabling teams to coordinate more effectively and carry what they learn into future product cycles. The aim is to embed data and AI into the company's daily operations in a way that turns its deep manufacturing expertise into capabilities that are distinctive to Changshin.

Palantir's Manufacturing Footprint

For Palantir, the Changshin partnership represents another application of its Foundry and AIP platforms in the industrial and manufacturing sector. Palantir's CRO and CLO Ryan Taylor described the collaboration as an effort to transform end-to-end processes by deploying Foundry and AIP while keeping Changshin in control of how AI is applied at every stage of the workflow.

Palantir's Foundry platform is designed to integrate disparate data sources into a unified operating environment, while AIP enables organizations to deploy AI capabilities within their existing workflows and decision-making processes. The combination of the two platforms is intended to give manufacturing teams the ability to work with data across organizational boundaries without requiring a complete overhaul of existing systems.

Changshin's Scale and Background

Changshin is one of the world's major footwear manufacturers, with operations spanning South Korea, Vietnam, China, and Indonesia. Founded in 1981, the company employs approximately 80,000 people globally. In April 2025, Changshin reached a cumulative production milestone of 1 billion pairs of shoes, a figure that underscores the scale of its manufacturing operations and the potential impact of integrating AI and data tools across its processes.

The company established its first overseas Subsidiary in Vietnam in 1994 and has since expanded its global footprint. Changshin continues to invest in technology and digital transformation initiatives as it looks to advance its manufacturing capabilities.

The Bigger Picture

The Palantir-Changshin partnership illustrates the growing adoption of enterprise AI platforms within traditional manufacturing industries. By connecting development workflows to production data, the two companies are attempting to address a common challenge in large-scale manufacturing: the disconnect between decisions made during product design and their Downstream effects on factory efficiency and product quality. The partnership's success will depend on how effectively the integrated data workflows translate into measurable improvements in coordination, issue resolution, and production outcomes across Changshin's global operations.