Financial Services

Identity Verification and Fraud Detection Trained on the Populations and Documents Your Stack Misses

We trained our identity engines on African faces, documents, and fraud patterns. Built for banks, fintechs, mobile money operators, crypto exchanges, insurers, and the global identity platforms serving African markets.

ISO 27001 Certified · GDPR Aligned · Ghana Data Protection Act 2012

The Threat Landscape

Why Identity Fraud Has Outpaced Verification Across African Markets

Mobile money transaction volume across sub Saharan Africa crossed 1.1 trillion USD in 2024, up 15 percent year over year. Identity fraud and synthetic identity attacks have grown faster. The KYC stacks deployed across the continent were almost entirely trained on global identity data, which means they over flag legitimate African customers and miss attacks built specifically for these markets.

Synthetic Identity Attacks

A synthetic identity combines real and fabricated data, often pairing a real national ID number with an AI generated face or fabricated supporting documents. These attacks are hard to catch with global vendor models that have not been trained on African examples.

The result is fraud that clears KYC and customer experience friction that drives legitimate users away.

Deepfake Injection Attacks

A deepfake injection attack feeds pre recorded or AI generated video directly into a verification flow, defeating the assumption that camera input is live.

Liveness detection requires models updated continuously against new generation techniques and calibrated for African biometric characteristics.

Document fraud At Scale

Forged national IDs, manipulated utility bills, and fabricated bank statements clear manual review by sheer volume.

Manual KYC review queues across the continent routinely run days behind, which is where the loss happens.

By The Numbers

The African Identity Fraud Landscape by the Numbers

A few data points that frame the operating environment for any institution running identity verification across African markets in 2026.

1.1 trillion USD

Mobile money transaction volume across sub Saharan Africa in 2024, up 15 percent year over year.

54

African countries, each with its own national ID format, regulatory framework, and fraud pattern profile.

2,000 plus

Identity document variants in active circulation across African markets.

99.9 percent

Platform uptime SLA across customer deployments.

What We Deliver

What We Deliver

Four product layers built specifically for African financial services. Each one integrates with your existing stack as an additional capability layer that adds detection without forcing platform replacement.

Nokore AI, Identity Verification Trained on African Data

Identity verification calibrated for African identity documents across the continent, including national IDs, passport variants, and regional driver licenses. Returns a confidence score in seconds. Detects synthetic identities, deepfake injection attacks, and document tampering.

Capabilities include real time confidence scoring, spoof and liveness detection, biometric matching, continuous model updates, and API first integration with existing onboarding flows.

Learn about Nokore AI

African Language Datasets for Fraud and Customer Experience

Annotated datasets and language models in Twi, Ga, Ewe, Hausa, Yoruba, and Swahili that fold into transaction monitoring, contact center analytics, and KYC review queues.

Use cases span fraud signal extraction from dispute notes, voice channel analytics, customer experience translation, and code switched English plus vernacular annotation.

Learn about African language services

Fraud Detection Datasets

Training data for transaction monitoring and fraud pattern recognition built from African financial contexts, including mobile money fraud patterns, SIM swap, account takeover, and corridor specific cross border flows.

Global fraud datasets miss African transaction shapes. Our datasets give your existing fraud model the local pattern recognition it needs.

Document intelligence and digitization

OCR, extraction, tampering detection, and cross document validation across African document types, regional utility documentation, jurisdiction specific business records, and bank statements.

Use cases include legacy document digitization, KYC document verification, high risk customer review, and insurance claim documentation digitization.

Production Workflow

How Nokore AI Works In Production

A Nokore verification call moves from client side capture through detection checks to a structured confidence score, with most verifications completing in under three seconds end to end.

Stage 1, image capture and quality validation

Your front end captures the customer's identity document and selfie through your existing onboarding flow. Image quality is evaluated in real time for blur, glare, lighting, and resolution.

Stage 2, document classification and OCR

The document image is classified against the full lineage of African document types. OCR extracts structured fields with field level confidence scores written to the audit log.

Stage 3, multi point security check

The document runs through data consistency, layout, colorization, security feature, holographic, microprint, and screen capture checks calibrated for African document security features.

Stage 4, biometric match and liveness

The selfie is matched against the document portrait using a face recognition model trained on African biometric data. Liveness detection identifies deepfake injection, replay, and mask attacks.

Stage 5, fraud signal scoring and response

Identity, document, biometric, and optional contextual signals combine into a configurable composite confidence score returned in structured JSON.

Stage 6, audit log and explainability

Every verification writes model inputs, outputs, confidence scores, and versions to a queryable audit log for review, examination, and dispute investigation.

Market Fit

How Institutions Deploy AdwumaTech Across African Markets

Digital onboarding at scale

Nokore AI runs alongside existing KYC stacks as a second pass detection layer for mobile money operators, neobanks, fintechs, and pan African super apps.

Fit: mobile money operators, neobanks, fintechs, pan African super apps.

Crypto exchange onboarding and ongoing monitoring

Nokore AI strengthens onboarding verification while fraud detection datasets give transaction monitoring corridor specific pattern recognition.

Fit: crypto exchanges, custodians, on ramp and off ramp providers, Web3 infrastructure platforms.

Bank compliance team alert load

African language datasets fold into transaction monitoring so dispute context survives the pipeline. Nokore AI sharpens identity calls so analysts see fewer low quality alerts.

Fit: AML teams, transaction monitoring upgrades, branch compliance operations.

Global identity platforms operating into Africa

AdwumaTech provides the African identity layer as a partnered capability for global IDV vendors and KYC orchestration platforms expanding African coverage.

Fit: global IDV vendors, KYC orchestration platforms, RegTech companies, BPO and shared services providers.

Security

Security and Compliance

Information security

Encryption at rest and in transit using AES 256 and TLS 1.3. Role based access control across the platform. Comprehensive audit logging of every model decision and data access event. ISO 27001 certified information security management system.

Regulatory alignment

Designed for major African data protection frameworks including the Ghana Data Protection Act 2012, GDPR for clients with European data flows, and central bank cybersecurity directives across the markets we serve.

Auditability

Full processing records, model documentation, performance metrics, and update protocols available for internal audit and regulatory examination. Every score Nokore returns is accompanied by an explainability layer.

Who we work with

Banks, fintechs, neobanks, mobile money operators, crypto exchanges, insurers, InsurTech companies, and global identity platforms operating into Africa.

Frequently Asked Questions

Common Questions

Nokore AI is trained from the ground up on African identity documents and biometric data. The practical difference shows up in false reject rates on legitimate African IDs and detection rates on synthetic identities specifically targeted at African institutions. Nokore integrates alongside your existing vendor stack as an additional detection layer.
We provide annotated datasets and language models for Twi, Ga, Ewe, Hausa, Yoruba, and Swahili, with active expansion into additional West and East African languages. Coverage includes text and voice channels, with code switched English plus vernacular handling for chat based interfaces.
Yes. AdwumaTech holds ISO 27001 certification covering our information security management system. Documentation is available under NDA for procurement review. We also align with the Ghana Data Protection Act 2012 and GDPR for clients with European data flows.
Data residency is configurable per deployment. We support in country residency for African customers, EU residency for clients with GDPR requirements, and on premises deployment for institutions with sovereign data requirements.
API first. Nokore AI returns a confidence score that your existing decisioning layer consumes alongside other vendor outputs. Typical integration timelines run 4 to 6 weeks from kick off to production, depending on your internal change management cadence.
We are deployed across West Africa with active expansion into East African markets. We work with banks, fintechs, mobile money operators, crypto exchanges, insurers, and global identity platforms operating into African markets. Country and document specific coverage is confirmed during scoping.
Yes. Standard pilot structure runs 6 to 8 weeks against a defined sample of your KYC traffic, with measurable false reject and false accept benchmarks reported at completion. Most pilots convert to production deployment within one quarter of completion.

See where the leakage is in your operation

Book a call. We walk through where document fraud, false rejects, and language blind alerts are hitting your operation. If the fit is there, we run a live demo on the same call against sample documents from your jurisdiction.