Desktop
A local-first desktop tool for preparing private files for AI
NeuroAIgent Desktop is the answer when you need to prepare private files for AI without sending sensitive documents to the cloud. It gives you a private project workspace to import messy files, review what was extracted, and export structured outputs your AI stack can use.
Start here, then explore Home, Solutions, How It Works, Resources, or the File Readiness Pilot.
Local processing
Keep file preparation under your control
NeuroAIgent is positioned as a local-first desktop tool. The core promise is simple: prepare private files for AI while keeping control of sensitive material. Where exact deployment details, operating system support, or hardware requirements are needed, use verified product facts only: [[NEEDS INPUT: supported operating systems, deployment options, and minimum system requirements]].
- Local-first file processing for private documents and project folders
- Built for people, consultants, small teams, and future enterprise buyers who need control over sensitive files
- Designed to prepare files for AI search, automation, analysis, and vertical workflows
Project workspace
Work in a private project workspace
The Desktop page should support the horizontal NeuroAIgent story, not compete with it. This page now frames the product as the workspace where messy private files become structured, searchable, AI-ready knowledge packages. Organize work by project, bring in mixed file sets, and prepare outputs that can support the broader workflows described on Solutions and How It Works.
- Import folders, PDFs, Word docs, spreadsheets, images, audio, video, and mixed project assets
- Inspect file types, metadata, duplicates, failed files, and readiness issues
- Prepare outputs for horizontal use cases first, with vertical workflows built on the same engine
Review before export
Check the output before it reaches your AI stack
NeuroAIgent should feel like the preparation layer before AI, not just another chat interface. Review extracted text, metadata, chunks, and source references before export so downstream search, RAG, automation, and analysis start from cleaner inputs.
Inspect what was found
See what was extracted from messy files and identify gaps that still need attention.
Review structure
Check metadata, chunks, sections, tables, and source references before moving forward.
Export with confidence
Use structured outputs that are easier to search, test, trace, and reuse across AI workflows.
Supported outputs
Structured outputs for the tools you already use
- Extracted text
- Structured metadata
- Chunked JSONL and other structured records
- Search-ready records
- Source references
- Processing logs
- Exportable knowledge packages
Next step
Start with the desktop tool or a guided pilot
If you want to see what your files look like after preparation, start with the File Readiness Pilot. You can also return to Home, explore Solutions, review How It Works, or browse Resources.