Industry
Financial services and fintech solutions for banking, payments, and wealth management
12 solutions
Real-time ML systems that detect fraudulent transactions by analysing behavioural patterns, graph relationships, and anomaly signals across every payment event.
ML models that forecast market movements, customer behaviour, and portfolio performance — turning historical data and real-time signals into actionable financial insight.
Software systems that monitor transactions, generate regulatory filings, and flag policy breaches automatically — cutting the manual overhead of compliance teams.
ML models that evaluate creditworthiness using bureau data, alternative signals, and cash flow patterns — producing risk scores that outperform traditional scorecards.
OCR and NLP systems that extract, classify, and validate data from invoices, bank statements, contracts, and KYC documents — eliminating manual data entry.
Automated platforms that construct, rebalance, and manage investment portfolios based on each client's risk profile, goals, and time horizon — without requiring a human advisor.
Distributed ledger systems that settle financial transactions without intermediaries — reducing clearing times from days to minutes and creating an immutable audit record.
LLM applications deployed in banking workflows — from customer service and report generation to contract summarisation and internal knowledge retrieval.
Analytical systems that help M&A and credit teams evaluate targets faster — crawling filings, news, litigation, and operational data to surface risks before they become problems.
End-to-end engineering of payment platforms, digital banking apps, lending systems, and open banking APIs — built for compliance, scale, and rapid regulatory change.
Driver-based planning tools and ML forecasting models that replace static spreadsheets with dynamic, continuously updated financial projections for FP&A teams.
Advisory engagements that identify where AI creates measurable value for banks and asset managers — then build the data infrastructure, governance, and models to capture it.
