← Back to search
ANSATZ AI LLC
PITTSBURGH, PA, 15217
UnclaimedClaim this profile (free)
Subcontracting experience
1 record from government sources. Past participation is not evidence of current teaming interest.
| Role | Agency | Description | Vehicle | Obligated | Action date | Period |
|---|---|---|---|---|---|---|
| Subcontractor | Department of Defense | PREDICTING MATERIAL PERFORMANCE OF CROSS-LAMINATED TIMBER (CLT) UNDER HIGH-VELOCITY LOADING IS AN UNMET CHALLENGE. MACHINE LEARNING EXCELS AT PREDICTIVE MODELING OF THE RESPONSES OF COMPLEX SYSTEMS BUT REQUIRES LARGE DATASETS OF PRIMARY DATA TO DEVELOP AN ACCURATE RESPONSE SURFACE THAT RELATES THE INPUT VARIABLES AND THE OUTPUT RESPONSES. HIERARCHICAL MACHINE LEARNING (HML) WAS DEVELOPED AT CARNEGIE MELLON UNIVERSITY (CMU) TO MODEL COMPLEX MATERIAL SYSTEMS FROM SMALL DATASETS. THE ALGORITHM RELIES ON INTEGRATION OF DOMAIN KNOWLEDGE IN THE FORM OF EMPIRICAL MODELS AND ADDITIONAL EXPERIMENTAL RESULTS TO MINIMIZE THE DATA REQUIREMENTS COMPARED TO TRADITIONAL MACHINE LEARNING. ANSATZ AI WILL WORK WITH DR. LAUREN STEWART AND HER COLLEAGUES AT GEORGIA TECH TO BUILD PREDICTIVE MODELS OF CLT PERFORMANCE AS A FUNCTION OF FEEDSTOCK AND LAYERING CHARACTERISTICS. AWD-004908-S1 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541715 Parent award performance state: GA Parent award description: UNDERSTANDING CROSS-LAMINATED TIMBER IN FORCE PROTECTION APPLICATIONS - RESEARCH & DEVELOPMENT. U435CEI View parent award on USAspending | — | $100,000 | Sep 14, 2026 | — – — |
Contract vehicles are shown only when present in the source record. Linked award numbers and vehicles open the authoritative record on USAspending.gov.
Government-sourced data comes from SAM.gov, SBA and USAspending.gov and is attributed to its source. Items marked company-reported were provided by the company and are verified by FedSub only where labeled. FedSub is a private company and is not affiliated with SBA, GSA/SAM.gov, or any government agency.