FounderDeckPack
BeforeUpload
75SIG
AI Safety & Privacy#3C74A6

Check files locally for hidden content, PII, and prompt-injection risks before uploading to AI.

FounderDeck estimate
$350k
Valued 2026-06-05
Rare Find0

BeforeUpload

Check files locally for hidden content, PII, and prompt-injection risks before uploading to AI.

Rare FindUnclaimed GemAI NativeUseful ToolPrivacy Focused
FounderDeck estimate
$350k
Medium confidenceValued Jun 5, 2026
0
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SaaS / UtilityEarly Stage / Concept
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What it does

BeforeUpload appears to be a privacy-focused tool designed to help users scan files locally in their browser before sharing them with AI models. It aims to detect and prevent accidental data leaks by identifying hidden content, metadata, personally identifiable information (PII), secrets, links, and potential prompt-injection risks. This provides an essential layer of security, ensuring users maintain control over their data when interacting with AI services.

Who it helps

Individuals, professionals, and businesses who regularly interact with AI models and are concerned about data privacy and accidental information leakage. This includes anyone uploading documents, code, or sensitive text to AI for summarization, analysis, or generation.

Why it's interesting

The timing for BeforeUpload is excellent, addressing a rapidly growing concern as AI adoption expands. Its focus on local, in-browser scanning offers a strong privacy advantage, differentiating it from server-side solutions. This tool could become a standard pre-upload check for anyone serious about data security in the age of AI.

Card stats

Signal Score75
Product Clarity90
Founder Energy70
Market Potential80
Website Polish60
Monetisation40
Shareability85
AI Hype90

AI-assisted scores estimated from public website information only.

FounderDeck estimate

Medium confidence
$350k

This estimate reflects a strong, timely product idea addressing a clear and growing pain point in the AI ecosystem. The local, in-browser approach offers a compelling privacy advantage. While the concept is highly relevant and valuable, the estimate remains at $350,000 as there's no visible product, pricing, or explicit traction information to support a higher valuation at this early stage.

Valuation date: 2026-06-05. Estimate generated from public signals.

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Estimates are AI-generated from public information and are not financial advice or verified company valuations.