SMEs & retailers
Shops, wholesalers and service businesses handling daily card, cash and mobile payments.
Fraud & anomaly intelligence for African SMEs
Find suspicious transactions before they become losses.
Anolix helps SMEs review transaction exports for duplicate payments, unusual behaviour and suspicious patterns using batch CSV analysis and machine-learning-assisted review — no banking integration required.
No customer personal data
CSV-only — no integration
Client-ready audit report
Risk ConsoleHealth-check preview
Fraud rate0%Watch
Reviewed TX0Batch
Duplicates0Review
Anomaly type mixtransparent risk bands
- Duplicate payments
- Velocity / card testing
- Unusual behaviour
- Legitimate
TX-80421BLOCKvelocity anomaly
TX-80422APPROVEnormal pattern
TX-80423REVIEWduplicate payment
Built for businesses that handle payments, not just banks.
Free sample review
Test Anolix without sharing full business data.
Start with a small anonymised file before committing to a full review. Send 50–100 transaction rows and receive a short findings preview showing possible duplicates, anomaly flags and recommended next steps.
- No customer names, phone numbers, addresses or IDs
- No login access to POS, bank, wallet or website systems
- Only transaction fields such as ID, date, amount, status, channel and account reference
- Clear sample output showing duplicate groups, anomaly flags and review recommendations
Low-risk pilot50–100 anonymised rows
1Share demo or anonymised sample
2Anolix checks duplicates and anomalies
3You receive a short findings preview
This first step helps your team understand the output before sharing a full export or requesting a complete report.
Who it's for
If money moves through your business, Anolix can review it.
Any organisation that handles payments builds up transaction data — and hidden risk. Anolix turns that data into clear answers, whatever tools you use today.
Fintechs & payment agents
Mobile-money agents, aggregators and wallets that need a fast second opinion on transaction flow.
E-commerce & marketplaces
Online sellers exposed to card testing, chargebacks and duplicate or repeated orders.
Microfinance & SACCOs
Lenders and savings groups that need lightweight controls without a core-banking overhaul.
Schools & churches
Fee, tithe and donation collections where duplicates and leakage are easy to miss.
Subscription businesses
Recurring billing operations watching for failed-retry abuse and duplicate charges.
The problem
Most SMEs only investigate fraud after the money is gone.
Spreadsheets, payment exports and manual checks make it hard to spot patterns like repeated failed attempts, unusual transaction velocity, duplicate payments, risky locations or sudden category changes.
Hidden fraud
Suspicious behaviour hides inside thousands of ordinary-looking rows across processors and statements.
Duplicate payments
The same payment slips through twice — a silent, recurring leak that manual review rarely catches.
Weak internal controls
Small teams review rows by hand, without risk scoring, evidence trails or an audit report to show for it.
Fraud & Anomaly Health Check
Start with a single CSV export. No integration required.
Send one transaction export — without customer personal details — and Anolix produces a practical fraud-risk report your team or client can act on. It's a one-off engagement, not a software subscription.
- Duplicate transaction detection
- Isolation Forest anomaly scoring
- Risk bands: low, medium, high and critical
- Suspicious merchant, account, device and category patterns
- Client-ready PDF audit report for decision makers
Health Check ReportGenerated by Anolix
82Risk Score
Recommendation: review duplicate groups, card-testing probes and high-velocity accounts before approving pending payments.
Why trust Anolix
Evidence you can defend — without touching customer data.
Anolix is built to be safe to adopt: it works from an anonymised CSV, and every flag comes with a reason and a risk band you can show an auditor.
No personal data required
Run a full review on a CSV that carries no customer names, IDs or contact details.
CSV-only, no integration
Nothing plugs into your banking or POS systems — you stay in control of the data you share.
Duplicate detection
Exact and near-duplicate payments surfaced and grouped, so leakage is easy to prove.
Anomaly scoring
Isolation-Forest and machine-learning-assisted scoring rank every transaction by risk.
Review queue
Flagged cases land in a clear queue with the factors that made each one suspicious.
Audit report
A reproducible, hashed audit report — the same file always produces the same findings.
Platform
A dashboard for batch analysis, live monitoring and investigation.
Use Anolix as a consulting tool today, then grow it into a live fraud operations platform as your business matures.
Batch CSV Analysis
Upload a transaction file, map the columns, detect anomalies, identify duplicates and generate a report.
Live Console
Monitor transaction volume, fraud rate, alert levels and decision flow from a clean operational dashboard.
Case Investigation
Open a transaction, inspect user history, device links, risk factors and related suspicious behaviour.
AI Insights Page
Separate plain-English system insights from the live console so the monitoring view stays focused.
How it works
From raw export to action plan in four steps.
1
Collect data
Export transactions as CSV without customer personal details.
2
Run analysis
Anolix detects duplicates, outliers, risky categories and suspicious behaviour.
3
Review evidence
Open flagged cases and explain why a transaction needs attention.
4
Deliver report
Share a concise health-check report with recommended next actions.
Services
Choose the level of review your business needs.
Begin with a small anonymised sample or request a full fraud and anomaly review for a complete transaction export.
Sample Review
A low-risk first step using a small anonymised transaction sample.
Free sample- 50–100 anonymised rows
- Duplicate and anomaly preview
- Short summary of findings
Most requested
Fraud & Anomaly Review
A detailed review of one transaction export with clear risk evidence.
Full report- Risk bands and flagged cases
- Duplicate payment groups
- PDF report for management
- 30-minute review call
Ongoing Monitoring
Regular checks for organisations that export transaction data every month.
Monthly review- Monthly CSV review
- Trend and risk comparison
- Improvement recommendations
Questions business owners ask
Built to reduce the trust barrier.
Fraud review is sensitive. These answers make it clear that Anolix starts with limited, anonymised data and produces review flags, not unsupported accusations.
Do you need access to our system?
No. Anolix works from a CSV export only. We do not need login access to your POS, bank, wallet, website or accounting system.
Do you need customer personal data?
No. Remove names, phone numbers, addresses, national IDs and other sensitive details before sharing the file.
Does Anolix prove fraud?
No. Anolix flags suspicious transactions and unusual patterns for review. Final decisions remain with the business team.
What file should we send?
A CSV with fields such as transaction ID, date, amount, payment method, status, account or customer reference, channel and transaction type.
What do we receive?
A fraud and anomaly health-check report showing duplicate groups, unusual transactions, risk bands and recommended next actions.
Can we start small?
Yes. Start with 50–100 anonymised rows or request a demo-data sample report before sharing a full export.
About
Fraud intelligence built for how African businesses actually operate.
Big banks have whole fraud departments. The shops, agents, schools and fintechs that move most of Africa's everyday payments don't — yet they carry the same risks.
Anolix closes that gap. Instead of asking small businesses to buy and integrate heavy software, we start with a single anonymised CSV and return a practical, defensible view of their fraud and anomaly risk — with a clear path to grow into live monitoring when they're ready.
Batch CSV analysis
ML-assisted review
Client-ready reports
Ready to test Anolix safely?
Request a sample report or free small pilot.
Start by asking for a demo report, or send 50–100 anonymised rows for a free sample review. No customer personal data or system access needed.