Banking & fintech
Faster onboarding, sharper risk, fewer false alarms
Example: a transaction, end to end
- 1A payment posts in the core banking system
- 2The risk API scores it in milliseconds
- 3Low-risk payments proceed untouched
- 4High-risk payments are held with the top reasons attached
- 5An analyst reviews, decides and the outcome feeds retraining
The challenges
What gets in the way in banking & fintech
- Challenge 01
Financial crime that adapts
Fraud and laundering typologies change faster than rule sets can be updated, and false positives swamp compliance teams.
- Challenge 02
Branch-bound onboarding
Customers still queue to prove who they are, while competitors open accounts on a phone in minutes.
- Challenge 03
Slow, inconsistent credit decisions
Manual assessments vary between officers and take days, frustrating good customers.
- Challenge 04
Legacy cores and strict audit
Every new capability has to integrate with older core systems and stand up to regulatory scrutiny.
What we build
Solutions engineered for your sector
Transaction risk scoring & AML flagging
Machine learning scores every transaction and explains each flag so analysts focus on real risk.
AI Engineering & Predictive AnalyticsFace & ID verified onboarding
QR-launched digital onboarding with face matching, liveness and OCR on identity documents.
Web Platforms & Internal ToolsCredit decisioning API
Approval predictions and recommended amounts served in real time to your lending workflow.
AI Engineering & Predictive AnalyticsArrears & collections automation
Automated tracking and SMS/email notifications for overdue accounts.
Robotic Process Automation (RPA)Masked, governed data pipelines
Personal data is masked before it reaches models and every access is logged.
Security, Governance & ResiliencePortfolio & risk dashboards
One trusted view of portfolio health, risk exposure and branch performance.
Data Engineering & Intelligence
Designed in from day one
What matters most in this sector
These are not extras. They shape the architecture from the first workshop.
- Explainable decisions for auditors and customers
- Masking of personal data in analytics and AI
- On-premise or private-cloud deployment where required
- Full audit trails for every automated action
Related work
Built and running
- Banking
AI face-verified digital onboarding
A QR-launched onboarding platform that verifies customers with deep-learning face matching and ID document recognition, now running in production.
- Python
- Django
- OpenCV
BankingAI fraud & anti-money-laundering detection
Machine learning that scores transactions for fraud and money-laundering risk and flags suspicious activity with actionable intelligence.
- Python
- Django
- FastAPI
BankingAI loan approval & amount recommendation API
Production-ready CatBoost and NLP models that predict loan approvals and recommend suitable amounts in real time.
- Python
- FastAPI
- CatBoost
Free assessment
Ready to modernise banking & fintech operations? Start with a free assessment.
An engineer, not a salesperson, will reply within one business day. The first assessment is free and there is no obligation.