Discover hidden data nuggets scattered in your enterprise
Designed for organizations that can't use cloud solutions
No dedicated CIO, no cloud storage, running for years — and all your data lives on employee laptops
We only read filenames and first 100 characters — never the full content. Like reading envelope addresses, not the letters inside.
100% offline deployment. Pull the network cable and it still runs. The AI model runs on a machine in your office — data never leaves the room.
No IT staff required. Fully automated, zero maintenance. Employees double-click to run; AI generates the report. Query it in plain language.
Chaotic file naming? AI reads the first 100 characters, automatically identifies content, and turns "Untitled.docx" into "2022 Key Contract Summary".
Out-of-the-box lightweight AI asset discovery kit
A tiny sensor executable — easy deployment, one-click run.
Out-of-the-box "black box" (software or appliance), installed on a manager's workstation.
Auto-generates "Enterprise Data Asset Global Map"
Designed for organizations having concerns of using public-cloud AI.
Deployable in completely disconnected environments. AI model, data, compute — all local.
No external API calls, no outbound traffic. Your office walls are your data boundary.
After analysis, collection tool self-destructs. No intermediate data persists.
Complete operation logs for compliance audits. Prove data never left your premises.
Organizations that fit these profiles
Established firms with case materials scattered across partner and assistant laptops. Zero tolerance for cloud exposure.
15-20 year factories where technical docs, process parameters, and customer data sit on workshop manager drives.
Reliance on email and personal Excel for CRM. Departing staff can walk away with everything — and you don't know what's missing.
Research teams with zero tolerance for data leakage. Experiment data, formulas, and reports stored locally, never on public SaaS.
Blueprints and project files distributed across designer workstations. No unified data management; historical projects hard to locate.
Preparing to hand to the next generation or bring in outside investors. Need to convert founder and key staff "tacit knowledge" into transferable enterprise assets.