Morph Systems

모프시스템즈

Enterprise AI startup specializing in defense and manufacturing data integration for organizations using Palantir. Builds custom ontology models that map data relationships across operations, connecting ERP, logistics, financial, and operational systems to enable automated decision-making. Won Korea's TIPS program for $350K in R&D funding. U.S. customers accounted for 40% of first-year revenue, projected to reach 80%.

Founded

2024

HQ

Palo Alto, CA (Korean-founded)

Stage

Pre-Seed

Total Funding

$350,000

Employees

4

AI & Autonomous Systems Other

Products & Technology

Morph Ontology Platform

Defense Data Integration / Enterprise AI

In Production

Custom ontology-based data integration platform for defense and manufacturing firms using Palantir. Maps data relationships across ERP, logistics, financial, and operational systems for automated decision-making.

integration Palantir Foundry compatible
approach Custom ontology models
data sources ERP, logistics, financial, operational systems

Leadership

Minkyu Park

CEO

Aerospace engineering at Seoul National University. Published research on reinforcement learning. Former AI researcher at Korea Military Academy. Previously ran Palantir Foundry consulting projects.

Harim Gu

Co-founder

Mechanical engineering at National University of Singapore. Two-time startup founder. Hands-on experience implementing data integration and AI systems.

Funding History

pre seed

2026-01

Investors: Mashup Ventures, 500 Global, Seoul National University, Orange Planet Foundation, TIPS (Ministry of SMEs and Startups)

$350,000

KRW 500M (TIPS)

Total Funding (Cumulative)

$350,000

Milestones

2026-01

Secured pre-seed funding from Mashup Ventures and 500 Global; won TIPS program (KRW 500M R&D funding).

2024

Founded by Minkyu Park and Harim Gu.

Target Markets

  • U.S. defense and manufacturing
  • Korean defense industry
  • Industrial reshoring companies

Data sourced from public reports, press releases, and official company materials. Last verified: 2026-06. See individual source citations for provenance details. Performance ratings, where shown, reflect sourced claims and are not KDReview endorsements.