TrustLayer Africa · SME financial inclusion

The credit African SMEs deserve.

TrustScore assesses SME creditworthiness from their mobile money transactions — MTN MoMo, Orange Money — not their collateral. An objective, fair and transparent score that unlocks credit access, including for the informal sector and women entrepreneurs.

290 M+ mobile money subscribers (Sub-Saharan Africa)AUC ≥ 0,78 performance target39 alternative data
$8.7 B
financing gap for Cameroonian SMEs (IFC)
290 M+
mobile money subscribers in Sub-Saharan Africa
77%
of CEMAC MSMEs outside formal credit
6 countries
targeted CEMAC zone (expansion planned)
The challenge

$8.7 billion of credit wrongly denied in Cameroon

In Cameroon and the CEMAC region, SMEs — especially women-led ones — are seen as 'high risk'. Yet this is not a bankability problem, but a perception gap.

📋

No formal collateral

60–70% of women-led SMEs operate without a trade register or real-estate collateral — automatically excluded from traditional credit.

📱

Ignored data

Mobile money transactions, tontines, bill payments: a wealth of real financial data, never valued by banks.

⚖️

Gender bias

Lending processes reproduce systemic biases that unfairly penalize women entrepreneurs, despite a genuinely low risk.

Our solution

TrustScore — scoring built for Africa

A scoring engine designed for African realities: native mobile data, with a gender-fairness module and per-score explanations being integrated.

📱

Native mobile money

Integration underway with MTN MoMo and Orange Money, with the customer's consent. TrustScore rates SMEs even without a formal bank account — from their real financial activity.

⚖️

Gender fairness

Algorithmic fairness module (IBM AIF360) being integrated, to detect and correct gender bias in every score.

🔍

Transparency & formalization

Per-score explanations (SHAP) are being integrated. A formalization journey guides informal SMEs toward bankability.

Process

From mobile data to credit — in 3 steps

A simple, fast and secure process. Result in under 2 seconds.

01
📱

Consent & data

The SME shares its MoMo data via explicit consent. No data without agreement.

02
🤖

Real-time AI analysis

TrustScore analyzes 39 alternative variables in under 2 seconds — GradientBoosting, 300 estimators.

03
🏦

Score + fairness report

The bank receives a 0–100 score; the SHAP explanation and fairness report are being integrated.

Second product · CEMAC region

AKUM — saving that starts at 1,000 FCFA

TrustScore unlocks credit. AKUM unlocks saving. A digital savings platform in preparation for Central Africa: regulated investment products reachable from a mobile money account, from 1,000 FCFA (about US$1.60).

📲

Subscribe through mobile money

Money in and money out through mobile money, both ways. It is the rail nearly every payment transaction in the region already runs on — and the one savings does not use yet.

💧

Redemption on the next business day

Savers get their money back the business day after they ask. It is the promise whose failure would be irreparable, so it comes before growth in our commitments.

🏛️

Within a regulated framework

Distribution of collective investment fund units under the mandate of a licensed brokerage firm, within the framework set by COSUMAF. AKUM neither takes deposits nor holds client assets.

StatusIn preparation
Entry ticket1,000 FCFA
Pilot marketCameroon
Planned reach6 CEMAC states
RegulatorCOSUMAF
RedemptionNext business day

Why both products together

Savings built on AKUM become the down payment for credit scored by TrustScore: same customers, same payment rail, same demand for transparency. That is the group's logic — making visible what the financial system does not see: creditworthiness on one side, savings on the other.

Interactive demo

Simulate your TrustScore

Enter data representative of your business to estimate your alternative credit score.

Your estimated TrustScore
48/100
Intermediate profile

Illustrative simulator — synthetic data. The real score uses 39 variables and requires your explicit consent.

Technology

Explainable AI, built for francophone Africa

TrustScore (prototype) is powered by an AI model trained on 10,000 reference records, currently in field validation, able to rate an SME within seconds from its mobile money data. Built in Canada by a team from the African diaspora.

Python 3.11FastAPIscikit-learnJava 17 · Spring Boot 3Angular 21PostgreSQL 16Docker ComposeHetzner
Performance target (AUC-ROC)≥ 0.68 → ≥ 0.78
Variables analyzed39
Mobile money operatorsMTN · Orange
Scoring time< 2 s
Target zoneCEMAC → Africa
Gender fairnessIBM AIF360 (being integrated)
Impact

Aligned with the AFAWA initiative

TrustLayer Africa supports the economic empowerment of women entrepreneurs, in line with the African Development Bank's AFAWA program.

1,000
SMEs onboarded — year-1 target (pilot)
500
SMEs scored and paying — year-1 target
1–2
partner financial institutions — pilot target
≥ 40%
women-led SMEs targeted
Use scenarios

What TrustScore will make possible

TrustScore could let us assess hundreds of women-led SMEs in a few days, where loan processing takes us months today.
DKCredit department
Exploratory discussion · financial institution · Douala
For the first time, a bank could see my real potential — my work, not my collateral — and open up credit access thanks to my MoMo score.
ANAmina N.
Illustrative SME scenario · Yaoundé
The team

A diaspora fintech, for Africa

TrustLayer is driven by a Cameroonian-born founder, combining Canadian technical expertise and direct knowledge of the African field.

PMK

Patrick Martin KENFACK

Founder · Chief Executive Officer · Technical Architect
🇨🇲 Cameroun🇨🇦 Canada15+ ans TI

Cameroonian-born software architect holding a Master's degree in web technology (2011) and 15+ years of experience in information technology (Hydro-Québec, CGI, Devoteam). Based in Canada, he maintains close ties with the African entrepreneurial fabric.

He designed TrustScore precisely to solve the paradox documented by AFAWA: financially sound SMEs perceived as risky for lack of suitable measurement tools. A solution built BY the diaspora, FOR Africa.

Areas of expertise

Applied AI · credit scoring
Mobile Money (CEMAC / UEMOA)
Java · Python · Cloud
Algorithmic fairness (AIF360)
Financial inclusion
Francophone African markets

A partnership approach

TrustLayer Africa builds partnerships with local financial institutions, development programs (AFAWA / AfDB) and mobile money operators to deploy scoring at scale for the benefit of SMEs.

Partners

Let's build financial inclusion together

Financial institutions, development programs, mobile money operators: join the TrustLayer Africa ecosystem.

Financial institutions
Grow your SME portfolio while keeping risk in check — an $8.7B underfunded segment in Cameroon (IFC), scored by an engine targeting AUC-ROC ≥ 0.78.
AFAWA / AfDB
A gender-sensitive scoring infrastructure aligned with AFAWA's 3 pillars: access to finance, technical assistance, capacity building.
Mobile money operators
Leverage your subscribers' transaction data in the service of their financial inclusion.
Partner banks
Simple API integration, score in under 2 seconds; fairness report coming.

Become a pilot partner

We are seeking financial institutions and development partners to deploy gender-sensitive scoring in Cameroon and the CEMAC region.

Discuss a partnership
Contact

Let's talk about your project

SME, financial institution or development partner? Write to us and we'll get back to you quickly.