Problem

Teams drown in PDFs, Word docs, CSVs and HTML, and sending them to a third-party AI means leaking sensitive data.

Solution

Process files client-side, powered by your own OpenRouter key. Nothing leaves your machine unless you choose to.

Example

Keep only strategy documents, invoices over $1k, or React/TS resumes, scored and summarized automatically.

Problem

Reviewing documents one by one is slow and inconsistent across a whole team.

Solution

Drop up to 50 files (PDF, Word, TXT, MD, CSV, HTML) and let the AI score each against your natural-language criteria.

Example

Set a "keep score ≥ 50" threshold; export the results as a JSON report or a ZIP of kept files.

Problem

Rigid rules engines cannot capture "a contract with a non-compete clause" or "a go-to-market strategy deck".

Solution

Type what matters in plain English; the AI returns a match score and a short summary for every document.

Example

Example criteria: invoices > $1k, resumes for React/TS roles, contracts with non-compete clauses.

Problem

Enterprise data is unstructured and scattered, making it hard to power any AI use case safely.

Solution

Connect your private, unstructured enterprise data to a managed AI layer, with on-edge processing available for maximum privacy.

Example

Run chat and data processing locally on-device, so customer data never has to leave your infrastructure.