DMRG AI
DMRG (Data Mining and Risk Guidance) Technologies is an AI-driven startup pioneering Supply Chain Intelligence for various industries including semiconductors, electronics, manufacturing, aerospace, and defense. Our flagship platform, the DMRG Terminal, embeds real-time supplier traceability, material risk detection, and resilience scoring directly into the hardware design process. We leverage cutting-edge agentic AI, large language models, and global trade data to map critical dependencies from components to raw materials—flagging vulnerabilities like rare earth exposure, supplier concentration, or export-control risks before they derail production.
BUSINESS DESCRIPTION
DMRG Technologies builds agentic-AI tools that illuminate deep-tier supply chains, trace components to critical materials, and stress-test networks against policy and geopolitical shocks—so engineers, program offices, and policy teams can design for resilience from day one.
Our stack fuses BoM parsing, HS-code trade flows, supplier graphs (~60k firms), and scenario engines to identify chokepoints and substitution paths at design time.
Target Audience:
Aerospace & defense engineering and acquisition teams, federal programs (DOE, DoD/DoW, and NASA), and regulated industrials exposed to critical-materials risk.
OUR EXPERTISE
SUPPLY CHAIN ANALYTICS
DMRG Terminal maps, monitors, and simulates complex supply chains — enabling organizations to anticipate disruptions, reduce risk, and improve resilience. Our analytics engine fuses trade data, firm networks, and component-level relationships into actionable intelligence. Designed with both industry and government needs in mind, our platform supports data-driven decisions across strategy, operations, compliance, and national security domains.
AGENTIC AI
We deploy autonomous agents powered by large language models to scrape, clean, and fuse supply chain data from fragmented, often unstructured sources such as trade filings, technical datasheets, and procurement records. These agents automate complex queries and generate custom analytics pipelines. On the front end, we deliver intuitive AI-driven interfaces that allow analysts and decision-makers to explore insights and simulate scenarios without writing a single line of code.
DATA MINING
We mine unstructured and semi-structured data at scale ranging from SEC filings and customs records to supplier datasheets and patent libraries. Our advanced web crawlers and scrapers systematically collect and update relevant data from web platforms. Using graph-based learning and NLP, we transform fragmented information into structured knowledge. Critically, our systems are designed to fuse proprietary enterprise data while meeting rigorous cybersecurity and compliance standards
DISRUPTIVE TECHNOLOGIES
We focus on the hidden supply chain infrastructure powering frontier technologies including quantum computing, aerospace systems, semiconductors, and advanced electronics. From nonlinear crystals and superconducting materials to cryogenic infrastructure and avionics, we map dependencies down to raw materials, critical subcomponents, and foreign sources of risk. Our analytics platform equips stakeholders with foresight across tiers of the supply chain, enabling resilience in industries where precision, security, and reliability are non-negotiable.
NATIONAL SECURITY
DMRG Technologies supports U.S. strategic and industrial resilience priorities by mapping and analyzing the supply chains behind critical minerals, quantum computing hardware, cryogenics, and advanced manufacturing components. We aim to help government and defense agencies anticipate and respond to geopolitical risks, including trade restrictions, export controls, and supply choke points, by providing real-time visibility into tiered supplier networks and country-level dependencies.
CASE STUDIES
Interactive extension of the DOE Criticality Matrix (2025-2035) that links 20+ critical minerals to 200+ unique HS (Harmonized System) codes. Users can explore U.S. vs China trade balances, exporter rankings, and HS-code-level trade data.
Key Results:
- •Mapped 200+ HS codes across 20+ DOE-designated critical minerals
- •Visualized U.S. vs China trade flows for rare earths, gallium, graphite, and other minerals through interactive charts and maps
- •Displayed trade balances and top exporter data by HS code, linking mineral criticality to real customs records
LEADERSHIP
Nan Wang is a co-founder of DMRG Technologies with 10+ years of experience in electronics sourcing and procurement. She draws on deep industry experience at Rivian and Shell and holds a Master's in Supply Chain Management from MIT, along with dual degrees in engineering and business from the National University of Singapore. Nan ensures the DMRG platform reflects real-world sourcing challenges faced by modern supply-chain teams.
Ilya Jackson is a co-founder of DMRG Technologies and a supply chain AI expert with a background in computational engineering and advanced analytics. During his research at MIT, he led cutting-edge work on digital twins, predictive analytics, and supply-chain resilience. He heads development of the DMRG Terminal, combining AI, network science, and real-world data to bring upstream supply-chain visibility into critical design decisions.
PAPERS & REPORTS
DMRG AI: Agentic AI for Supply Chain Resilience
Comprehensive presentation covering DMRG Technologies' approach to supply chain intelligence, featuring our agentic AI solutions, network science methodology, and product portfolio including Project Illuminatus, Critical Minerals Analytics, and Quantum Supply Chain Mapping.