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Privaro
Runtime PII detection and governance proxy for LLMs
Privaro sits between your application and any AI model, intercepting every prompt before it reaches the model. It detects and tokenizes sensitive data — names, emails, IBANs, national IDs, medical records, contract clauses — in under 80ms. The model works on tokens, not real data. And every interaction generates a blockchain-certified audit trail. Built for teams shipping LLM features in regulated industries (fintech, legal, healthcare, insurance) who need to prove GDPR and EU AI Act compliance.
Hi Product Hunt! 👋
I'm Miguel Ángel, founder of Privaro.
The problem we solve: every time your app sends a prompt to GPT-4 or Claude, it leaks whatever your users typed — names, emails, financial data, health records. That data leaves your infrastructure. You have no record of what was sent. And if a regulator or enterprise customer asks "what did your AI see?" — you can't answer.
Privaro is the layer that sits between your app and the LLM. It detects and tokenizes sensitive data before the model sees it, and generates a certified audit log for every interaction.
We built this after seeing the same pattern repeat: companies with great AI products losing enterprise deals because they couldn't answer the compliance question architecturally.
The free trial is live — 500 requests, no credit card. Would love your feedback, especially from anyone building in fintech, legal or healthcare. Those are the verticals where this pain is most acute.
What would you want to see in a tool like this?
Hi, I'm Miguel Ángel, co-founder of Privaro. Wanted to add some context here as the maker, not as a user review.
We built Privaro after seeing the same gap repeatedly in regulated industries (banking, insurance, legal, healthcare): companies are using GPT-4, Azure OpenAI, or Claude in production, but can't answer a basic question their DPO or an auditor will ask — "what personal data has actually gone through this model in the last 12 months?"
Privaro sits as a proxy layer between your code and the LLM API: it tokenizes PII in real time before it reaches OpenAI, Azure, Anthropic, or Gemini, transparently detokenizes the response, and generates an auditable log ready for compliance review (GDPR, AI Act).
We're currently live in production with an enterprise client (Octupus Technologies / Robin AI platform) and going through public R&D funding processes (CDTI, CAM) in Spain to accelerate the compliance-focused roadmap.
Happy to answer technical questions here about the tokenization approach or multi-LLM architecture. Feel free to also check us out at privaro.ai.
About Privaro on Product Hunt
“Runtime PII detection and governance proxy for LLMs”
Privaro was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #28 on the daily leaderboard. Privaro sits between your application and any AI model, intercepting every prompt before it reaches the model. It detects and tokenizes sensitive data — names, emails, IBANs, national IDs, medical records, contract clauses — in under 80ms. The model works on tokens, not real data. And every interaction generates a blockchain-certified audit trail. Built for teams shipping LLM features in regulated industries (fintech, legal, healthcare, insurance) who need to prove GDPR and EU AI Act compliance.
Privaro was featured in Privacy (11.3k followers), Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 218k products, making this a competitive space to launch in.
Who hunted Privaro?
Privaro was hunted by Miguel Ángel Pérez (iCommunity). A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Miguel Ángel Pérez (iCommunity)