PiaarFind your people

Built for trust, not for harvest.

Most AI products bolt on a privacy policy at the end. Piaar designed the matching engine around privacy in the first place. Here's what that means in practice.

Last updated: 2 August 2026 · Version 1.0
Transparency

Explainable matching

The EU AI Act asks that AI systems be transparent about how they work. That's a standard we're building toward, not one we're claiming to have already cleared — here's what's true about matching today.

  • Every match score shows the skills you and the other person have in common
  • No shadow profiling — we don't use sensitive attributes to score you
  • Email us and we'll explain how a score was calculated
  • We can tell you about a significant algorithm change if you ask
Consent-first

Consent over collection

GDPR shapes how we build, not just how we write a policy. The company is based in Sweden, our core database and server functions run in EU regions, and anything optional runs on a strict consent-based model.

  • We collect the minimum needed to match well — nothing else
  • Full user control over visibility and interactions
  • Discoverable-off in one tap; other users only ever see an approximate area, never your exact position
  • Your data leaves with you when you delete your account, aside from a short list of things that are someone else's record too — see our deletion page
Architecture

Privacy by design

Privacy-by-architecture means privacy isn't enforced by policy alone. It's something we build toward at the query layer, the storage layer, and the deployment layer — including where we still have work to do.

  • No public scraping of profiles from other platforms
  • No sensitive attributes used in scoring
  • No cross-event exposure without your explicit consent
  • Turning Discoverable off removes you from matching, lists, and the map — this protection is still being hardened across every access path, so treat it as our design intent rather than an absolute guarantee today

Where machine learning actually runs

Two places, and we'd rather name both than let you assume.

Matching. A text-embedding model (Qwen3-Embedding-0.6B, run by us on Google Cloud in europe-west1) turns each skill name into a vector, and your match score is how well another person's offered skills cover what you're looking for. It sees skill names only — never your messages, photos, or location. Distance is a range filter and a tiebreak, not part of the score itself. A small number of promoted jobs or events can appear at the top of a list, always clearly labelled "Promoted"; nothing else affects order.

Moderation. Content you publish publicly is checked before other people see it: events, articles, event announcements, job posts, job-alert messages, and the "workplace" field on your profile. Google Cloud Natural Language reads the text; Cloud Vision SafeSearch looks at the images. As currently configured, both run on Google's global default infrastructure rather than an EU-restricted endpoint — our core database and server functions are EU-hosted, but this particular check isn't pinned to the EU today. Your private one-to-one messages are never sent to either of these systems.

If you're Discoverable and switch on "Open to opportunities," your match score against a job is also what a job alert's minimum-score threshold is checked against, and it's what a recruiter sees if you tap "I'm interested" on their job — see our privacy policy for exactly what a recruiter can and can't see. We treat this as a system that plausibly falls under the EU AI Act's rules for job-related AI, and we're keeping job alerts limited while we work through what that requires.

Automated checks are wrong sometimes. Nothing is permanently deleted on a machine's say-so alone: flagged content is held for human review, and you can challenge any decision by emailing privacy@piaartech.com. A person reads every appeal, and we aim to reply within five working days.

Our commitments

Nine things we promise to do — or not do.

A short list because we want it to be checkable. If you ever find us violating one of these, write to us — we'll publish the fix or explain why we can't.

We will explain any match score.

Email privacy@piaartech.com and we'll send a plain-language explanation of the skills a score is based on, within one month — a commitment we hold ourselves to, in the spirit of the EU AI Act's transparency requirements.

We measure the product, not you.

Usage analytics are off unless you switch them on, carry no account identifier, and are never used to rank, score, or profile you. Switching them off deletes the identifier and stops collection immediately.

We will never sell your data.

Not to advertisers, not to data brokers, and not for money to recruiters either. If you apply to a job, a recruiter does receive some of your data with your consent — see our privacy policy for exactly what. We won't transfer your data as part of an acquisition without your re-consent.

We will never scrape public profiles.

Your Piaar profile is what you put in Piaar. We don't import from LinkedIn, GitHub, or anywhere else without your direct action.

We will explain algorithm changes on request.

We don't yet publish a running changelog of matching changes, but if a significant change would affect your score, email us and we'll explain what changed and why.

We will delete on request, fully.

Deleting your account in-app removes your profile from search and matches immediately. We don't run scheduled backups of this database, so there's no rollover period behind it — a few things survive deletion only because they're someone else's record or a legal record, listed in full on our deletion page.

We will host core data in the EU.

Our database and server functions run in EU regions. Some underlying Google services we depend on — like push notifications and the content-moderation checks above — run on Google's global infrastructure rather than an EU-pinned one. Where a processor sits outside the EU/EEA, we rely on Standard Contractual Clauses or an equivalent safeguard.

We will collect the minimum.

We ask for what a match needs — the skills you offer and seek, a rough location, and your consent. Nothing we can't justify, and nothing kept running in the background.

We will tell you about incidents that affect you.

If we experience a data incident, GDPR requires us to notify our supervisory authority within 72 hours of becoming aware of it. If it's likely to put you at risk, we'll tell you directly too, without undue delay, and explain what happened once we understand the scope.

No, thanks

Six things you'll never see on Piaar.

The features we said no to are as much a part of the product as the ones we said yes to.

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Streaks and counters

"You've been on a 7-day streak" is a gambling mechanic with a friendlier name. We don't use them.

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Re-engagement notifications

If we haven't heard from you in a week, we won't ping you with a manufactured reason. We trust you to come back when it's useful.

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Algorithmic feeds

No infinite scroll, no engagement-optimized timeline. People are ranked by skills score, then by distance. Jobs and events can include one clearly labelled "Promoted" item — nothing else affects order.

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Always-on tracking

Location and Bluetooth are requested only in the moment a feature needs them — never kept running in the background to follow you around.

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Dark patterns at sign-up

No pre-checked consent boxes, no "remind me later" buttons hidden in grey. Decline is as easy as accept.

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Cross-platform tracking

No pixel on partner sites, no shared advertising ID, no cohort analysis sold to third parties.

Reporting concerns

See something off?

If a match score looks wrong, a feature feels off-mission, or a privacy commitment looks like it's been broken — write to us. We answer everything.

Get in touch →

Privacy you can verify.

The whole product is open about how it works. Try it for yourself.

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