For consultants, legal, and finance
Reason over a sensitive client folder, privately
Bundle an entire confidential folder and analyze it with a local model. Nothing is uploaded.
The problem
You cannot paste a client’s contracts, financials, or case files into cloud AI. So the most sensitive work is the work AI never helps with.
How it works
- 01
Bundle privately
Point IngestMD at the whole folder. Code, docs, and spreadsheets become clean Markdown, secrets redacted, all on your machine.
- 02
Keep it local
Ask questions through your own local LLM (Ollama or LM Studio). No cloud, no account, no upload.
- 03
Reuse the context
Save the useful set as a Collection so the next question starts where you left off.
Result. The confidential pile finally gets the AI treatment, with the confidentiality intact.
Keep going
More you can do
Onboard a new developer in days, not weeks
Hand a new hire a guided tour of the codebase their AI assistant actually understands.
Turn a Confluence space into a NotebookLM briefing
Pull a whole space into clean Markdown, then let NotebookLM turn it into an audio overview or a deck.
Fix a bug without drowning the model in the whole repo
Discover the area that owns the bug, and load only that subsystem into your AI over MCP.
Get an AI review that sees the whole picture
Bundle your git changes, their tests, and what depends on them, behind a review prompt.