DIRECT TO PHASE II: Intelligent Data Analysis of Post-Mission Reporting Artifacts & Data

Two questions received answers: **Q8 (LLM Infrastructure):** Government clarified that solutions need not run entirely on portable edge devices. Initial versions should target standard workstations Fleet personnel have access to, while leveraging available tools and infrastructures. Government won't provide system access for prototyping. **Q9 (Existing Systems & Users):** This is a new standalone capability, not replacing legacy systems (PMATT-TA, MFOQA, DECKPLATE). Primary users are non-data-scientist Fleet personnel conducting missions who need conversational data access for operational and training decisions.

# Q&A Changes Summary **Added 9 new questions** covering: - Direct-to-Phase-II feasibility documentation (evidence types accepted, use of third-party benchmarks, adjacent-domain prior work eligibility) - Data requirements (types, volumes, schemas, synthetic data generation) - Phase II deliverables (user workflows, deployment environments, classification levels) - AI/LLM architecture (Navy-hosted vs. portable systems) - Verification methods (traceability, data lineage, separate workflows) - Clearance requirements (pre-award vs. government-sponsored) - Prototype maturity thresholds and acceptable evidence types **Key clarifications**: Heterogeneous data-processing demonstrations may substitute for completing all modalities; third-party evaluations and non-Navy datasets accepted as feasibility proof; prior work in adjacent domains eligible; Navy LLM hosting permissible.

This Q&A clarifies that proposers can leverage Navy-hosted LLMs on secure infrastructure rather than requiring standalone portable deployment, and seeks to understand the intended end-user, existing system integration points, and specific operational decision the solution must support.

New opportunity: DIRECT TO PHASE II: Intelligent Data Analysis of Post-Mission Reporting Artifacts & Data