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POSCO Future M has signed a contract to adopt Palantir’s data operations platform Foundry and its generative AI platform AIP, launching an AI transformation across its battery materials business. The South Korean company will first apply the platforms to sales and marketing, then expand to manufacturing and company-wide operations. It has set targets of improving customer response capabilities by more than 60%, boosting manufacturing productivity by 30%, and halving product development timelines. The company is also running internal AI education programs and plans to roll out proven best practices to worksites.
Key Elements
POSCO Future M (003670) is moving aggressively to adopt the data operations and analytics platform of U.S. AI software company Palantir, accelerating an artificial intelligence transformation (AX) across its battery materials business. The core of the strategy is a phased rollout that begins with sales and marketing and then extends to manufacturing and company-wide operations.
POSCO Future M said in a regulatory filing on the 22nd that it signed a contract on the 21st to adopt Palantir’s data integration and operations platform “Foundry” and its generative AI platform “AIP.” Foundry ties data scattered across a company into a single decision-making framework, while AIP layers generative AI on top so that employees can use AI agents directly in their work.
The partnership is not a simple software purchase but is tied to the company’s digital innovation roadmap. In July, POSCO Future M unveiled “BoT (Battery of Things) Ecosystem Game Changer” as its digital innovation vision, and in August it launched an AX project built on company-wide process innovation (PI). The move reflects the judgment that in the secondary battery materials industry, data connectivity with customers is as decisive for competitiveness as cost and quality.
Sales and marketing will be the first area of application. The plan is to deploy the Palantir platform first in customer response and collaboration processes to raise service levels, then expand to manufacturing sites and company-wide operations once results are verified. The company’s stated targets are a more than 60% improvement in sales and marketing customer response capabilities, a 30% improvement in manufacturing productivity, and a halving of product development timelines.
“Through AI-driven manufacturing innovation, our goal is to improve customer response capabilities in sales and marketing by more than 60% and raise manufacturing productivity by 30%,” a POSCO Future M official said. “We will also focus on securing overwhelming competitive advantages, including cutting product development timelines in half.”
The key concept behind the platform adoption is an “AI-native” system. This refers to a structure in which AI leads the entire process from planning to execution, while people step in at the final judgment and decision-making stage. The priority task is to integrate and analyze distributed data in real time to speed up decision-making.
Efforts to raise AI capabilities on the ground are proceeding in parallel. POSCO Future M is working to establish a culture of AI use among employees through an internal AI festival and training programs to cultivate AI specialists. Best practices selected at the festival will be applied to worksites sequentially through the first half of 2027 after on-site testing and employee feedback, while 87 specialists who completed the training are tasked with identifying and fixing inefficiencies in actual work.
| Category | Target |
|---|---|
| Sales and marketing customer response | Up more than 60% |
| Manufacturing productivity | Up 30% |
| Product development timeline | Cut by 50% |
| On-site application of best practices | Sequential rollout through H1 2027 |
Note: AI-driven innovation targets announced by POSCO Future M
The medium- to long-term vision is expansion into a platform business. The company aims to build a platform that leads standards in the battery industry ecosystem based on data accumulated from production through sales, and to turn that into new business opportunities. The same logic underpins its goal of rising beyond a materials supplier to become a leader driving the industrial ecosystem.
The contract is the first case in South Korea’s secondary battery materials industry of a full-scale adoption of a generative AI platform, and analysts say it could influence the pace of AX investment by other materials companies. At the same time, some note that verifying data readiness and on-site implementation will be necessary before the target figures translate into actual results.
