Frictionless onboarding
ID capture, selfie liveness, and age assurance in a single flow. Genuine members are verified in under 5 seconds.
Confirm real, of-age members in under 5 seconds, block catfish and AI-generated profiles, and keep banned users out for good.
Architect · oat-milk extremist
“Sundays are for slow mornings.”
Trail runner · vinyl collector
“Ask me about my record shelf.”
Model · always travelling
Verify, screen, and prove — with cryptographic receipts and an agent fleet working across every channel you already use.
Every verification is minted onchain in real time — a tamper-proof receipt your auditors can confirm at proof.deepidv.com.



Add one module over Sumsub, Veriff, or Smile ID — or replace them entirely. One API, no rip-and-replace.

Sanctions hit flagged — review queued

PEP match resolved, proof minted onchain
Arbiter and Luna screen sanctions, PEP, and adverse media continuously — flagging risk the moment it appears.
Not a checklist of features — a verification system. Every capability in deepidv is built to keep real, of-age members in and bad actors out.
ID capture, selfie liveness, and age assurance in a single flow. Genuine members are verified in under 5 seconds.
Start with frictionless AI age estimation and step up to document verification only for edge cases — set it once, it runs on every sign-up.
Monitor verification health, risk signals, and enforcement across every brand and region — all in a single view.
Block every fraud vector you face — catfishing, bots, stolen photos, and deepfakes — and stop them all in one place.

1:N biometric search, continuous monitoring, and FCRA-aligned background checks — built for communities that demand higher trust.
One verification engine, an agent fleet, and cryptographic proof — wired into the stack you already run.
Launch once, verify everywhere — every product radiates from a single API.



See every check, agent, and decision on one live timeline.
Arbiter
Luna
ArcQuestions, incidents, or integration help — real engineers, in minutes, whenever they matter most.












curl -X POST https://api.deepidv.com/v1/Plug deepidv into your stack three ways — a REST API, native SDKs, or an MCP server your AI agents can call directly. Clean docs, a sandbox, and one source of truth take you from API key to live verification the same day.
Call any verification service directly — create a session or run a standalone check and get structured JSON back in under 500ms.
→ screening 200+ watchlists…✓ status: clear risk_score: 4 · 143msPre-built UI components and server libraries for iOS, Android, Web, Node, Python, and Go — zero to live verification in a single sprint.
checks: ['id','liveness','face'],✓ v.url → send to your userAn open protocol that lets any AI agent call deepidv's verification engine directly — no custom integration code. Connect it in one command.
No setup fees, no minimums, and a Startup Program with 6 months free.
One modular engine for age assurance, catfish defense, and trust and safety, versus the bolt-on verification most dating platforms inherit. See what's included on every row.
| Feature | Sumsub | Plaid | Veriff | Persona | Bureau | Flinks | |
|---|---|---|---|---|---|---|---|
| AI-Powered Document Verification | |||||||
| Biometric Face Matching | |||||||
| Passive Liveness Detection | |||||||
| Active Liveness Detection | |||||||
| NFC Document Reading | |||||||
| C2PA Content Provenance | |||||||
| Voice Cloning Detection | |||||||
| Injection Attack Prevention | |||||||
| Open Banking | 1 |
New members capture a government ID and a live selfie in a flow that completes in under 5 seconds. deepidv authenticates the document across 10,000+ types in 211+ countries, matches the selfie to the ID with passive liveness, and confirms the date of birth so under-age users never reach the community. For lighter friction you can run AI age estimation first and only step up to full document verification for edge cases.
Yes. Catfishing depends on someone presenting as a person they are not, and that breaks under biometric verification. deepidv matches every verified profile to a live human, and frame-level deepfake detection catches AI-generated faces, face swaps, and manipulated photos before they become a verified badge. The result is a trusted profile signal your members can actually rely on.
Romance scams are run at scale by organized fraud rings using stolen photos, synthetic identities, and bot accounts. deepidv breaks the economics: passive liveness and deepfake defense block synthetic media at signup, 1:N biometric search detects one person spinning up many profiles, and sanctions and adverse-media screening flag known bad actors. Ongoing monitoring then watches for risk signals that appear after a profile is created.
Not easily. Because deepidv can match a new sign-up against previously enrolled faces with 1:N biometric search, a removed user who tries to create a fresh account with new details is flagged as a returning, banned identity. This lets your trust and safety team enforce bans against the person, not just the email or phone number, which is the single most requested control on dating platforms.
Yes. Verification can return a simple trust signal, verified human and over 18, without exposing the underlying document or biometric to other members. Every check is minted as a signed, zero-PII proof and logged for audit, and you control retention. Members get a credible safety badge while their personal data stays protected and is never shared across profiles.
It does. For premium or safety-first experiences, deepidv adds FCRA-aligned background checks covering criminal records and sex-offender registries, plus continuous monitoring that alerts you when a member's status changes. You can scope this to specific tiers or regions, so a standard sign-up stays light while higher-trust experiences carry deeper assurance.