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Research systems

Knowledge becomes infrastructure when it can be parsed, related, versioned, and executed.

Neunuc treats research as an operational system. Documents are not dead storage; they become structured artifacts that can feed analysis, delivery, automation, and proposal work.

Pipeline

From raw file dump to organized intelligence.

Ingest

PDFs, MDX, notes, screenshots, codebases, ZIP archives, forms, and web captures enter as artifacts.

Extract

The system pulls entities, claims, contradictions, citations, dependencies, topics, and implementation details.

Relate

Artifacts connect to repositories, capabilities, people, agencies, NAICS codes, projects, and prior decisions.

Produce

Outputs become briefs, diagrams, capability statements, SOPs, research notes, and implementation tickets.

Knowledge model

Research outputs stay connected to source material.

Inputs

PDFs
Markdown
Repos
Forms
APIs
Notes

Runtime

Operation
Context
Policy
Workflow
Agent
State

Services

RAG
Search
Graph
Storage
Auth
Telemetry

Outputs

Briefs
Docs
Code
Diagrams
Statements
Deploys

Research deliverables

Built for evidence-backed work products.

Contradiction checks

Compare claims across files, notes, screenshots, PDFs, and source docs to find conflicts before they become deliverable problems.

Architecture extraction

Pull systems, modules, services, data flows, and operational gaps from messy material into clear diagrams and specs.

Capability mapping

Convert lived work, projects, repos, and research into services that can be presented to commercial or federal buyers.

Citable briefs

Produce clean summaries, papers, market notes, and technical narratives that preserve source lineage and decision logic.