AGE VERIFICATION
Confirm your customer’s age before they access your service.
Daksam Analytics Age Verification gives organisations two ways to confirm age: a liveness-based biometric estimation that requires no document, and a document-backed verification that combines a liveness check with an identity document for a precise confirmed age.
Age-gating a service without verifying age is a compliance gap and a liability. Daksam Analytics Age Verification closes it with two configurable modes: one for use cases where a fast, frictionless age range check is enough, and one for use cases where a precise, document-confirmed age is required. Both integrate via SDK, carry your brand throughout, and fit into any onboarding flow without rebuilding the journey around them.
THE CHALLENGE
Asking Someone Their Age Is Not the Same as Verifying It
A self-declared date of birth collected during sign-up is not age verification. It is a field on a form. Organisations that age-gate services without actually verifying age carry the liability when that gate fails.
TWO VERIFICATION MODES
Choose the Level of Certainty Your Use Case Requires.
Daksam Analytics Age Verification offers two modes. Your compliance or operations team selects the one that matches the certainty level your service requires and the friction level your customers will accept. Both integrate via SDK.
Biometric Estimation
The customer takes a liveness selfie. The AI model estimates their age range from the biometric data. No document required. No personal data stored beyond the result.
Document-Backed Verification
The customer takes a liveness selfie and uploads an identity document. Age is confirmed precisely from the document. The selfie is matched to the document photo to confirm identity.
Liveness Confirmation
Both modes include a liveness check confirming the person is physically present. A photograph or pre-recorded video cannot pass the liveness step.
Result Delivered
The verification result, age range confirmed or precise age confirmed, is delivered to your system immediately. The customer is routed to the next step in your flow automatically.
White-Label Throughout
Every screen in the Age Verification flow carries your institution’s branding. The customer sees your name and interface at every step with no Daksam Analytics branding visible.
CAPABILITIES
What Runs Under the Hood on Every Check
Both verification modes draw on the same underlying capabilities. Your team selects the mode. These are the components that run regardless of which one you choose.
Biometric Age Estimation Mode
AI model estimates age range from a liveness selfie without requiring any identity document. Fast, frictionless, and suitable for services where a range confirmation is sufficient.
Document Age Confirmation Mode
Date of birth extracted precisely from an uploaded identity document in this Mode. Supports national IDs, passports, and driving licences across multiple markets and formats.
Liveness Detection
Confirms the person taking the selfie is physically present and genuine in both modes. Photographs and pre-recorded videos are rejected automatically before age estimation runs.
Face Match
In the Document Mode, the live selfie is matched against the photo on the uploaded identity document before age is confirmed. Mismatches are flagged before a result is delivered.
White-Label Presentation
The full Age Verification flow carries your brand throughout. Your name, colours, and interface on every screen. No Daksam Analytics branding visible to the customer at any point.
SDK Integration
Age Verification integrates via SDK into your existing onboarding or access flow. Drop it in at the point where age confirmation matters without rebuilding the journey around it.
WHY CHOOSE US
Built for compliance. Designed for scale.
Four reasons compliance and operations teams choose Daksam Analytics Age Verification over a standalone age check solution.
Two Modes, One Platform
Most age verification solutions offer one approach. Daksam Analytics offers two within the same platform, configurable by your operations team without additional integration work. Use biometric estimation where speed matters. Use document-backed verification where precision is required. Switch between them per use case or per customer segment from the same platform instance.
- Biometric estimation and document-backed verification in one platform
- Switch modes per use case without additional integration
White-Label by Default
The Age Verification flow carries your institution’s branding from the first screen to the final result. Your customers see your name, your colours, and your interface throughout the entire check. No third-party product name appears at any point. Banks, EdTech platforms, and digital services maintain complete brand consistency through the age verification step the same way they do across the rest of the onboarding journey.
- Full white-label presentation on every screen in the verification flow
- Your brand, colours, and interface visible at every step
- No Daksam Analytics branding visible to the customer at any point
SDK Integration
Age Verification integrates via SDK into your existing onboarding or access flow. There is no need to rebuild your journey around it. Place the age check at the point where confirmation matters, and the SDK handles the rest. Both modes are available through the same SDK without separate implementations for each.
- SDK integration drops into any existing flow without rebuilding
- Both verification modes available through the same SDK
- Works alongside eKYC, VCIP, and other Daksam Analytics products
Built for Your Markets
Daksam Analytics Age Verification is configured for the document formats, liveness conditions, and regulatory requirements of India, Africa, and the GCC. The biometric age estimation model is trained on the demographic diversity of these markets. The Document mode can be customised to support the national IDs, passports, and driving licences your customers actually carry in these regions.
- Biometric model trained on the demographic diversity of your markets
- Configurable to the age thresholds your regulatory framework requires
FAQ
What compliance and operations teams ask about Age Verification.
Mode 1 uses a liveness selfie only. The AI model estimates the customer’s age range from their biometric data without requiring any identity document. It is fast, frictionless, and suitable for use cases where confirming someone falls within an age range is sufficient. Mode 2 uses a liveness selfie plus an identity document upload. The customer’s date of birth is extracted precisely from the document and their selfie is matched to the document photo. It is suitable for use cases where a precise, confirmed age is required and a document upload is acceptable within the onboarding flow.
If your service requires a fast check that a customer falls within an age range and you want to minimise friction, Mode 1 is the right choice. If your service requires a precise confirmed age backed by an identity document, for example financial account opening or student enrolment with age eligibility requirements, Mode 2 provides that certainty. Your operations team can configure either mode and can run different modes for different customer segments or products within the same platform instance.
No. Both modes include a liveness detection step that confirms the person taking the selfie is physically present and genuine. A photograph held up to the camera or a pre-recorded video cannot pass the liveness step. The age estimation or document matching only runs once liveness is confirmed.
Age Verification integrates via SDK into your existing onboarding or access flow. You place the age check at the point in the journey where age confirmation matters. Both modes are available through the same SDK without requiring separate implementations.
Age verification is one step in the onboarding journey. Getting it wrong creates liability. Getting it right creates confidence. Book 30 minutes and we will show you both modes running, how the SDK integrates, and what the white-label verification screen looks like for your customers.
Or reach us directly: sam@daksam.ai +91 9898 892967