Solutions
What does NeuroAIgent help you do?
NeuroAIgent helps people and teams prepare private files for AI. The core engine turns messy PDFs, Word docs, spreadsheets, images, audio, video, and project folders into clean, structured, searchable, AI-ready knowledge packages without sending sensitive files to the cloud.
Who is this for?
Individuals and consultants
Prepare client files, project folders, and research materials for AI search, analysis, and automation in a private project workspace.
Small teams
Standardize messy internal files, review metadata and chunks before export, and create structured outputs your AI stack can actually use.
Future enterprise buyers
Start with a focused desktop wedge today, then evaluate the same engine for team workflows, vertical use cases, and [[NEEDS INPUT: deployment requirements]].
How does the core engine work?
At the category level, NeuroAIgent is the preparation layer before AI. It helps you import files, inspect what is there, clean and convert content, structure it with metadata and chunks, package it into usable outputs, and export it to the AI tools you already use.
- Import files, folders, and project assets
- Inspect file types, metadata, duplicates, failures, and readiness issues
- Clean documents with conversion, extraction, and OCR
- Structure outputs with metadata, sections, chunks, tables, and source references
- Package records for search, RAG, analytics, and automation
- Export to Markdown, JSONL, CSV, local folders, vector databases, Obsidian, Ollama, LM Studio, and [[NEEDS INPUT: additional supported destinations]]
What kinds of solutions sit on top of the engine?
NeuroAIgent is one engine with focused vertical workflows. The hub stays horizontal at the file-preparation layer, while spoke pages show how that same engine can be applied to specific jobs, industries, and document sets.
PresenceOS
Turn local business assets, listings, reviews, service pages, and customer signals into an organized growth workspace.
PermitPilot
Prepare permit-ready project packets from job notes, addresses, forms, photos, plans, and contractor documents.
Legal
Prepare case files, discovery documents, contracts, and exhibits for private AI search and review.
Research Workspace
Turn papers, notes, PDFs, images, and transcripts into structured research libraries.
Construction / Field Ops
Organize drawings, forms, photos, inspection notes, specs, and project documents into AI-ready project records.
What can you expect from the outputs?
- Extracted text
- Structured metadata
- Chunked JSONL
- Search-ready records
- Source references
- Processing logs
- File readiness score
- Exportable knowledge packages
These outputs help users move from messy private files to structured outputs for search, RAG, automation, and analysis.
Where should you go next?
FAQ
Is NeuroAIgent a chat-with-your-documents app?
No. NeuroAIgent is positioned as the preparation layer before AI. It focuses on cleaning, structuring, chunking, packaging, and exporting private files into usable knowledge packages.
What kinds of files can it prepare?
Known file types include PDFs, Word docs, spreadsheets, images, Markdown files, audio, video, and project folders.
Why make Solutions a hub page?
The hub explains the core engine once, then routes visitors to the right spoke page for their workflow, industry, or job to be done.
Can teams keep files under their control?
Yes. The verified positioning is local-first file processing that prepares private files for AI without sending sensitive files to the cloud.
What proof points are available today?
Companies like Aqueus and Eminent Machine Supply can provide feedback
What happens in the File Readiness Pilot?
The pilot is described as a 48-hour review of a sample file set with outputs such as inventory, metadata, converted text samples, chunked JSONL sample, readiness score, and a recommended workflow.
Prepare private files for AI.
Start with the desktop app, explore the right workflow page, or run a guided File Readiness Pilot.