
Fintech
AI applied to real financial decisions
Practical use cases for lending, payments, wealth and banking platforms — systems that decide under regulation, not just in a notebook.

AI Agents
Agents that complete KYC, underwriting and ops workflows with full audit trails.

Voice AI
Secure voice channels for support, collections and verification.

Computer Vision
Document and ID vision that feeds decisioning, not just OCR dumps.

Predictive & Forecasting AI
Models that score risk and demand before losses show up.

Generative AI & NLP
Language systems that draft, summarize and explain under policy.

Recommendation & Personalization
Offers and portfolios matched to risk appetite and goals.
Built on modern financial technology stacks
Risk & Fraud
Decisioning
Data Platforms
Core Integration
From risk assessment to model governance
Risk Assessment
Map data lineage, model risk and regulatory constraints before any build starts.
Sandbox Pilot
Prove value in a controlled environment with synthetic or limited production data.
Core Banking Integration
Connect into core banking, payment rails and KYC stacks with audit trails.
Controlled Rollout
Expand to production cohorts with kill-switches, monitoring and change control.
Model Governance
Ongoing monitoring, drift detection and documentation that holds up under audit.
Engineering that understands risk
Risk-First Delivery
Every engagement starts with model risk, data lineage and control points — not a flashy demo.
Audit-Ready by Default
Logging, explainability hooks and change history are designed in, not bolted on after review.
Integrates With Core Systems
We connect into core banking, payments and KYC platforms without fragile screen-scraping.
Security & Compliance Culture
Access control, encryption and segregation of duties are non-negotiable from day one.
Outcomes, not just deliverables
Selected work from our case studies.

AI Fraud Detection for a Neobank Startup
Graph + behavioral fraud scoring that cut false declines while catching account-takeover rings for an early-stage neobank.
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AI Credit Underwriting for a Lending Startup
Real-time underwriting models that helped a Series A lending startup approve more good borrowers without raising loss rates.
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Data Engineering and Analytics for Insurance Risk Assessment
Pipelines and analytics for insurance risk scoring and fraud detection.
Read case study →