Dating · Matchmaking platforms

Verify who users meet — with age and identity you can defend

Dating products are adult-only by design. A birth date at signup does not stop minors, and a profile photo does not prove identity. When trust & safety, legal, or the press ask what you checked, you need structured decisions — not screenshots of a checkbox.

Couple leaning on their bicycles together outdoors

Why this matters

Matchmaking platforms carry unique risk: minors must not access adult environments, and users must trust that profiles represent real people. Weak verification erodes safety, invites fraud, and creates regulatory exposure under Lei Felca and LGPD.

Adult-only environments

Signup, messaging, video, and premium features need trustworthy age assurance — not self-declaration anyone can bypass.

Identity you can stand behind

Verification badges and trust signals should rest on structured identity checks — with records when safety teams or regulators ask for proof.

What dating teams face

Onboarding must convert users quickly — yet stay strict enough to keep minors out and reduce catfish. Most teams lose control when verification is bolted on feature by feature.

  • Self-declared age at signup with no real consequence for lying.
  • Minors accessing messaging, video, or premium through weak gates.
  • Fake profiles and catfish undermining trust and safety.
  • Verification badges that mean different things across flows.
  • Re-verification before premium, boosts, or video calls added as one-offs.
  • Records scattered — hard to prove diligence to ANPD, press, or litigation.
  • Testing a new verification flow without affecting real users becomes a side project.
Person using a laptop and smartphone at a desk

How Qonclor helps

You gain infrastructure focused on identity and age decisions — with outputs your product, trust & safety, and compliance teams can use and explain.

One flow across touchpoints

Document, selfie, and official data on the same path — signup, badge unlock, premium upgrade, or revalidation without vendor sprawl.

Clear outcome: allow, block, or review

Structured decisions with confidence and risk — without interpreting raw third-party payloads in production.

History when someone asks

Every check leaves a trail. Legal and leadership can look it up without patching spreadsheets.

Data handled with care

We minimize what we process and store — less exposure for users and for you under LGPD.

Test before going live

Tune policies and flows in a safe environment before they affect real users.

Operations dashboard

Volume, exceptions, and trends visible to product, trust & safety, and compliance.

How it works in practice

  1. 1

    Define when to verify — signup, badge unlock, premium upgrade, video access, or periodic revalidation.

  2. 2

    The user submits document, selfie, or data; Qonclor checks behind the scenes.

  3. 3

    You receive the result: allow, block, or route to manual review.

  4. 4

    Your app applies the rule; Qonclor keeps the record.

  5. 5

    Your team monitors in the dashboard — no scramble when a request lands.

Diverse team collaborating in a modern conference room

Frequently asked questions

Does Qonclor replace moderation or matching algorithms?

No. We specialize in identity and age verification decisions. Matching, messaging moderation, and community guidelines stay with you — we take the weight of reliable verification off your plate.

How is this different from social media?

Our social media use case covers open platforms with feeds, DMs, and UGC. Dating covers adult-only matchmaking: keeping minors out, reducing catfish, and backing verification badges with structured identity checks.

How does this relate to Lei Felca?

Lei Felca sets expectations for protecting minors in digital environments, including trustworthy age checks where self-declaration is not enough. See our ECA Digital page for context — we support your verification layer; your counsel validates your full compliance program.

Does it work for users in Brazil?

Yes. The flow is built for the Brazilian market, including CPF validation and biometric confirmation, at the pace dating apps need.

Do you store identity evidence forever?

Not necessarily. You define retention; sensitive evidence can be discarded after verification while keeping a record of the decision.

Ready to strengthen verification on your dating platform?

Tell us how you operate today — flows, volume, and what keeps your trust & safety team up at night. We will put together a focused demo, no strings attached.

Schedule a demo

This page describes product capabilities. For legal and regulatory decisions, consult your advisors.