LG deepens Silicon Valley AI push with Palantir talks

LG Group chairman Koo Kwang-mo met Palantir CEO Alex Karp and Skild AI co-founders as the South Korean conglomerate expands its AI efforts.

Koo and Karp discussed possible cooperation in AI and ways LG could build its capabilities by benchmarking Palantir’s achievements in manufacturing, finance, and logistics, while Koo’s separate meeting with Skild AI, focused on physical AI and included a humanoid demonstration.

Koo also reviewed LG Technology Ventures’ AI investment strategy, with the unit managing US890 million across global markets.

🔗 Source: Yonhap

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LG’s executive meetings build on existing partnerships, with scope still evolving

LG Group chairman Koo Kwang-mo met with Palantir CEO Alex Karp. The talks followed a strategic partnership in which LG’s IT services unit, LG CNS, signed an agreement with Palantir and plans to broaden use of Palantir platforms across LG Group affiliates 1.
LG CNS began with a proof-of-concept. That work moved into a full project contract at one LG manufacturing affiliate, tied to group-wide digital transformation work in manufacturing, energy, electronics, and logistics 1.
LG’s discussion with Skild AI continued an investment and partnership to build industrial humanoid robot solutions using Skild’s Robot Foundation Model (RFM), a type of AI model designed to help robots learn and perform physical tasks in real-world environments 2.
LG CNS is running multiple proof-of-concept projects that train robots on logistics, retail, and manufacturing data. The tasks include sorting items, inspecting ship components, and monitoring product quality 3.

LG is building an AI services blueprint for heavy industry

LG is building a plan to make money from AI work by testing new technology inside its own industrial operations at scale 1.
LG CNS validated Palantir Foundry and AIP (AI Platform) through proof-of-concept work at an LG manufacturing affiliate on quality control. It also plans deployments across LG Group affiliates 1.
Separately, LG CNS has deployed robotics systems in industrial and logistics settings as part of its RX push 1.
The goal is to turn internal results into a commercial service, selling AI and robotics implementation know-how to other large industrial companies 4.
This approach may help LG CNS compete with traditional consultants through reference cases from complex internal operations. Sources do not quantify the size or timing of any advantage 1.