DON26BZ05-DV081ActiveSBIR

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

Department of DefenseNAVY

AI Overview

The Navy seeks an intelligent data analysis platform enabling non-technical personnel to easily connect, clean, and visualize diverse data sources through conversational interfaces. The solution must empower Fleet personnel to make data-driven operational decisions while maintaining transparent, auditable analytics and compliance with DoD security and ethical standards.

This summary is AI-generated from the official solicitation.

Key Details

Agency
Department of Defense
Funding Amount
Release Date
August 5, 2026
Due Date
September 23, 2026

Official Description

The U.S. Navy collects vast amounts of high-quality data for training and operational use. While the quantity and quality of this data are crucial for advanced automation and smart systems, effectively using it presents a significant challenge. The Navy requires a solution that enables personnel who are not data scientists to easily connect, analyze, and visualize data from various sources. The goal is to empower them to make data-driven decisions that improve operational and training efficiency...

View on official source

Change History

Q&A UpdatedSep 3, 2026 at 2:01 PM

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

# Q&A Changes Summary **New Questions Added:** - **Q1 (NEW):** Clarifies classification scope during Phase II — which work products (data, outputs, use cases) will be classified, when, and whether Government will provide classified workspace/infrastructure. Confirms unclassified environment acceptable if only mission use cases are classified. - **Q2 (NEW):** Five detailed scoping questions added: (1) specific post-mission reporting systems/databases by name and owner; (2) artifact types in scope beyond text (audio, graphics priority?); (3) accrediting authority and target enclave for ATO; (4) whether environment is on-premises/disconnected; (5) quantified gap metrics (analyst hours, mission-to-answer elapsed time). **Questions Renumbered:** Previous Q1, Q2, Q3, Q4 → Now Q3, Q4, Q5, Q6 (due to two new questions inserted at top) **No Answer Changes:** Existing answers to data provision, data preprocessing transparency, NLP architecture, read-only data sources, and descriptive/diagnostic analysis scope remain unchanged. **Key Implication:** Two significant new uncertainties identified for offerors regarding classification requirements and specific system/metric definitions that were previously unanswered.

Q&A UpdatedSep 1, 2026 at 2:01 PM

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

# Q&A Changes Summary **Q1 - NEW ANSWER:** Government will NOT provide datasets or GFI before Phase II award. Firms must source representative data themselves for prototype demos; Government data sharing begins only after successful demonstration. Unclassified surrogate/synthetic data acceptable for early development. **Q2 - UPDATED ANSWER:** Added clarity that Government does NOT mandate specific UI style (logs vs. graphical diagrams)—offerors choose balanced approach. Does NOT predefine Navy lexicon/taxonomy; offerors design flexible NLP for standard aviation terminology. Clarified "cloud services" means IL5/IL6-compliant Government clouds (AWS GovCloud/Azure Gov) or secure on-premises, requiring RMF/CMMC Level 2 compliance—NOT open internet. **Key Impact:** Shifts responsibility to offerors to identify data sources and design security-compliant architecture; removes expectation of pre-award Government data access.

Q&A UpdatedAug 31, 2026 at 8:00 PM

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

# Q&A Changes Summary **New Questions Added:** 1. **Q1 (Restructured):** Added critical clarification on sample data availability—asking whether the Government will identify post-mission air data sources, formats, classification levels, and access timing before/at award, or if Phase II can proceed initially against unclassified surrogate data. 2. **Q2 (New):** Two-part question addressing: (a) specific visibility requirements for data cleansing processes to build user trust without overwhelming non-data scientists, and (b) NLP scoping constraints—requesting Navy-specific taxonomies, lexicons, and operational bounds for post-mission reporting queries. Also added security constraint: clarification on whether Phase II will be air-gapped on SIPRNet/JWICS and how this impacts the "connect to wide range of data sources" requirement. **Renumbering:** Previous Q2–Q3 became Q4–Q5. **Key Changes:** The updated Q&A defers more technical specifics to Phase II execution (Navy environment finalization, actual data provision) and introduces new scope concerns around NLP domain constraints and classified network deployment architecture—areas previously unaddressed.

Q&A UpdatedAug 31, 2026 at 6:01 PM

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

No changes detected. The PREVIOUS Q&A and UPDATED Q&A sections are identical. All three Q&A pairs (Q1, Q2, Q3) remain unchanged in content.

Q&A UpdatedAug 27, 2026 at 5:01 PM

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

**No changes detected.** The PREVIOUS and UPDATED Q&A sections are identical. All three Q&As (Phase I feasibility, environment/data/clearance, technical risks/platforms/metrics) remain unchanged.

Q&A UpdatedAug 27, 2026 at 4:01 PM

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

**Key Changes to Q&A:** - **New Q1**: Clarifies data handling and analysis scope. Added requirement that solutions must include automated data preprocessing/cleansing with user verification, and must be transparent about data quality issues and uncertainty. - **New Q2**: Addresses verification approach, technical risks, infrastructure integration, and performance targets. Emphasizes human-in-the-loop oversight, traceability from query to result, and identifies 4 key technical risk areas (unstructured data parsing, accuracy/explainability, user interface intuitiveness, scalability). - **New Q3**: Defines Direct-to-Phase-II feasibility requirements (working prototype demonstrating ingestion, query, and report generation—not just theory). Clarifies Navy environment will be finalized during Phase II (no predetermined platform mandated). Reiterates Government provides data during Phase II. Confirms Secret clearance not required at award; classified work anticipated at Government site.

Q&A UpdatedAug 26, 2026 at 6:01 PM

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

**Changes to Q&A:** - **New Q2 added**: Clarifies that proposed Period of Performance should match the instruction timeline (30 months Base / 12 months Option). Shorter timelines may be noted in Technical Volume but won't affect funding limits; the stated periods factor in transition and budget forecasting. - **Q3 appears to be a duplicate** of the original Q2, suggesting it may be pending a response or awaiting clarification on Direct-to-Phase-II feasibility documentation standards and whether third-party evaluations/benchmarks can substitute for completed work across all three modalities (text, audio, graphics).

Q&A UpdatedAug 26, 2026 at 3:01 PM

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

# Q&A Changes Summary **Major Updates:** 1. **Data Provision Clarified**: Government will NOT provide data dictionary/schema pre-award. Contractors must use synthetic or public aviation data (FAA, NTSB) for proposals. Navy will provide schemas/sanitized examples post-award during Phase II. 2. **Multi-Modal Processing Requirement Reinforced**: Must demonstrate text, audio, AND graphics ingestion—not just representative heterogeneous types. Core formats are mission reports (text/tabular) plus audio and graphics. 3. **Verification Approach Confirmed**: Traceability to source records + reproducible calculations + data lineage satisfies requirement. No separate verification workflow mandated. 4. **Performance Metrics**: No pre-defined targets for dataset size, users, or response times. Contractors must propose justified baselines aligned to technical architecture (squad-level concurrency assumed). 5. **Data Source Handling**: Connected Navy sources must be read-only. All cleansing, transformation, and derived calculations stay in isolated analysis environment—no write-back to source systems. 6. **Security Clearance Timeline**: Secret FCL/PCL NOT required at proposal submission. Government can sponsor clearance process pre-classified work. However, lack of existing clearance creates schedule risk evaluated during source selection. 7. **Analytics Scope**: Primary focus is descriptive/diagnostic analysis with conversational access. Anomaly detection and trend identification included in scope.

Status ChangedAug 26, 2026 at 2:02 PM

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

Status changed from Pre-Release to Open

Q&A UpdatedAug 24, 2026 at 7:01 PM

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 UpdatedAug 24, 2026 at 6:01 PM

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

# 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.

Q&A UpdatedAug 18, 2026 at 4:01 PM

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

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.

Opportunity AddedAug 5, 2026 at 12:02 PM

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

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

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