Embeddable eKYC engine

Identity verification that fits into your business flow.

Add localized document OCR, face matching, and liveness detection to your existing customer journeys through flexible APIs and SDKs. Built for wallets, telecom operators, banks, PSPs, and regulated digital services.

Multi country, document, language, and integration adaptation
2 SaaS and private deployment models for different compliance needs
Edge lightweight model options for selected OCR and liveness capabilities
Localization Arabic + local scripts
Identity Check 02:14
Document OCR extracted fields
Face matching completed
Liveness check completed
Verification result Returned to business system
Deployment SaaS or Private
Market challenges

Generic eKYC is not enough for emerging-market identity checks.

Remote identity verification depends on local documents, languages, user channels, device conditions, and how verification fits into the service journey.

01

Local documents are hard to standardize

Different ID layouts, Arabic text, local Latin-based languages, handwriting, and inconsistent image quality can slow market launch.

02

Financial and telecom flows are different

Wallet onboarding, account upgrades, SIM registration, and remote SIM replacement trigger identity checks at different points in the customer journey.

03

Deployment and data control matter

Banks, telecom operators, and government-related services may need private deployment, data residency, auditability, and controlled integration.

Business scenarios

One embeddable verification layer for customer, subscriber, and merchant scenarios.

BambooDT provides localized identity verification capabilities that can be called from customer apps, agent channels, wallet systems, telecom systems, and merchant platforms.

W

Wallet onboarding

  • Remote registration
  • KYC level upgrade
  • KYC input for account tiering
  • Result callback to wallet system
B

Bank account opening

  • Customer identity verification
  • Account opening support
  • Result callback to banking system
  • Integration with banking systems
T

Telecom subscriber verification

  • Real-name SIM registration
  • SIM activation
  • Remote SIM replacement
  • Subscriber re-verification
M

Merchant onboarding

  • Business document capture
  • Representative verification
  • Structured verification result
  • Callback to merchant system
Product capabilities

From document capture to structured verification output.

The engine combines document OCR, face matching, liveness detection, result codes, confidence signals, and customer-system callback into an embeddable identity verification layer.

Adapt to local ID documents instead of forcing one generic template.

Support ID capture, OCR field extraction, document type recognition, image quality checks, and country-specific document adaptation after sample collection and validation.

Arabic OCR Local Latin scripts Selected handwriting Image quality check

Strengthen remote identity checks with face matching and liveness.

Face matching compares the ID portrait and live capture where document quality allows. Static and action-based liveness options support different user experience and risk-level requirements.

Face matching Static liveness Action-based liveness Lightweight models

Return verification signals for customer-side decisions.

BambooDT eKYC returns structured results to the customer’s business system, which then applies business rules, review operations, approval logic, and service activation.

Verification status OCR confidence Face match score Reason codes

Connect verification results to the systems that open accounts or activate services.

API, SDK, and callback integration can connect BambooDT eKYC with wallet cores, banking systems, telecom BSS/OSS, CRM, merchant systems, or approved customer-side data services.

API / SDK Callback API Session ID Business-system handoff
Solution architecture

A modular verification layer that connects channels with business systems.

BambooDT eKYC provides identity verification capabilities and structured results, while your business system orchestrates the customer journey and makes the final business decision.

Customer Channels Mobile app, web portal, agent app, branch tablet, or assisted registration channel.
Capture SDK / API ID image capture, guided capture, selfie capture, and data submission.
Customer Workflow Onboarding journey, retry handling, account tiering, review queue, or service request flow owned by the customer.
BambooDT eKYC Engine Document OCR, face matching, liveness detection, result generation, and callback API.
Business Systems Wallet, core banking, telecom BSS/OSS, CRM, customer profile, or merchant system.
Customer Decisioning Business rules, approval logic, manual review, AML, sanctions, blacklist, or customer risk system where available.
Service Activation Account opening, SIM activation, merchant activation, profile update, or request rejection by the customer system.
Reference flow

A clear handoff from identity capture to verification result.

Use this best-practice flow as a starting point, then adapt each step to the business scenario, channel, and local requirements.

Start KYC Customer app, agent channel, wallet, telecom, or merchant system starts a verification session.
Capture ID Collect ID image, document type, and required identity information.
Extract fields OCR extracts structured fields and checks capture quality.
Verify face Face capture, face matching, and liveness detection are applied as configured.
Return result eKYC returns status, extracted fields, confidence scores, result codes, and evidence metadata.
Customer decides The business system uses the verification result in its own onboarding or service process.
Deployment flexibility

SaaS or private deployment, with the same API/SDK integration model.

BambooDT eKYC supports both on-premises private deployment and SaaS service models, allowing customers to choose the model that fits their integration, data-control, and rollout requirements.

SaaS deployment for faster launch Suitable for a lighter infrastructure path and faster service rollout.
Private deployment for customer-controlled environments Suitable for stricter data residency, security, or integration requirements.
Project validation before production rollout Document coverage, language scope, handwriting, liveness flow, device conditions, and data-source availability should be validated for each market.
Implementation approach

A practical rollout path from document validation to go-live.

Successful eKYC rollout starts with target-country validation, sample documents, API/SDK integration design, result-field definition, deployment choice, and production readiness.

1 Confirm scope Target country, business scenario, document types, user journey, and verification requirements.
2 Validate documents Sample collection, OCR validation, language/script scope, handwriting needs, and image quality review.
3 Define integration API/SDK flow, session creation, result fields, callback behavior, customer-side rules, and deployment model.
4 Launch and improve API/SDK integration, UAT, security review, production launch, and continuous model improvement.
FAQ

Frequently asked questions

Who is BambooDT eKYC built for?

It is designed for financial institutions, telecom operators, digital wallets, PSPs, merchant platforms, and regulated digital-service providers that need embeddable identity verification through API/SDK integration.

Does it support telecom scenarios?

Yes. BambooDT eKYC can support identity verification for real-name SIM registration, SIM activation, remote SIM replacement, agent-assisted registration, and subscriber profile re-verification through integration with telecom channels and systems.

Is BambooDT eKYC a full anti-fraud database platform?

No. It focuses on identity verification controls such as document OCR, face matching, liveness detection, and structured verification results. External fraud, AML, blacklist, or screening databases require customer-side or third-party integrations where available.

Can it adapt to local ID documents?

The platform is designed for document localization and can adapt to country-specific ID layouts after sample collection and project validation. Recent progress includes Arabic OCR, local Latin-based OCR, and selected handwritten ID scenarios such as Myanmar ID documents.

How should a customer start evaluation?

Start with a focused PoC: confirm target country and use case, review ID samples, select deployment model, define API/SDK integration and callback fields, then validate OCR, face matching, liveness, and result behavior.

Embed localized identity verification into your customer journey.

Validate document coverage, API/SDK integration, result callback, and deployment model before production rollout.