SBIR DPA26BZ04-DV016 (DARPA): Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON)
U.S. Department of Defense — DARPA
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- Posted
- Jul 2, 2026
- Closes
- Aug 19, 2026 (in 25 days)
Amount
Amount not published by the funder
Who can apply
Small Business. Startup
About this opportunity
DARPA SBIR topic — under DoW SBIR 2026 BAA (Solicitation 26.BZ, Release 4) — Accepting submissions 2026-07-22 to 2026-08-19. Objective: The goal of this effort is to combine advanced machine learning (ML) methods that can be computationally efficient in structured data with large language models (LLM) that are general and can extract context from data. The aim is to derive powerful and efficient technology for interactive statistical analysis of large-scale data seen such as in enterprise or battlefield. Description: By integrating the contextualization power of LLMs with the statistical power of ML, the program aims to leverage the benefits of both to provide domain-specific statistical contextualization of structured data. This effort must: - Survey and research the emerging ML methods s...