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Why DeepID. The signals your FRM never receives.

Your FRM sees the payment once it exists. DeepID reads the minutes before it: who is there, on which phone, whether someone is coaching them and where the money is going. One SDK beside the FRM, from sign-up to every payment.

Five shifts in how a decision is made.

A point check gives one answer, once. One SDK that binds the person, the phone and the SIM at sign-up can check every later moment against them.

  1. A check made once, at loginEvery moment checked against what was bound at sign-up: the face, the number, the SIM and the phone
  2. One opaque scoreOne decision with its reason codes, for the analyst, the customer conversation and the audit trail
  3. One account at a timeThe payee and mule graph across your book, so the receiving side is read as well as the sender
  4. Allow or blockSix actions: allow, warn, step up, cool off, hold or block, each with the words the customer reads
  5. Another platform to replaceOne SDK beside the FRM, the KYC provider and the case manager you already run

What sets the platform apart.

Five things, each shown in full on a page of its own.

  • Login confirmed by the network.

    One tap: the network confirms the number with nothing to type, and the SIM check, Aadhaar consent and a one-time code take over in turn. A device risk gate sits in front of every route, and the bank’s server redeems a single-use token before it signs anyone in.

    Silent network verification

  • Scams read in the session.

    A coached customer passes every credential check, because every credential is hers. DeepID reads the session instead: a 41-minute call across the payment, a shared screen, dictated typing and a payee added 3 minutes ago.

    Scam signals

  • The payee and mule graph.

    Payees, devices and accounts are linked across your book, so an account 2 days old that is linked to 14 accounts is scored before the money is sent to it, not after.

    Payee and mule graph

  • One explained decision, beside the FRM.

    Each moment returns one of six actions with its reason codes to your app and your FRM. Your rules, your scripts and your call-back team stay yours, and nothing is replaced.

    One decision, with reasons

  • India-native rails, and seven markets’ rule maps.

    Built on UPI, Aadhaar and RBI’s directions, with each control mapped to the dated rule it supports in India, Singapore, Malaysia, the Philippines, Australia, the UAE and Saudi Arabia.

    The rule map

Three questions, one decision.

Every module answers one of three questions, and every decision says what broke: the face, the number and SIM, the phone, the payee or the session.

  • Is it really the customer?

    A live person, in front of a real camera, behaving like the account’s owner.

  • Is it their own phone?

    A number the network confirms, a bound SIM and device, and nobody else driving it.

  • Is it their own choice, to a safe payee?

    No one coaching them on a call or watching their screen, and a payee away from mule rings.

What you can hold us to.

We publish no success rates. You measure DeepID on your own traffic, against criteria agreed in writing before the pilot starts.

  • Proof before you commit.

    A retrospective and a shadow proof on your own data come first.

  • Reasons with every decision.

    No score reaches your team without the signals behind it.

  • Evidence on request.

    Any figure we quote comes with its method, its dataset and its date.

  • Compliance supported, never guaranteed.

    DeepID supports your compliance with named rules and does not claim regulator approval.

See DeepID on a real phone.

We show your fraud, security and engineering leads how DeepID would run your sign-up, login or payment journey, then plan a pilot on your own traffic.