Assist info security teams in cutting down risks and boosting their security stance quickly and successfully.

Build a smart cash management system using cash demand predictions. Forecast what cash you'll need and when.

Shift auditing from a quarterly task to a real-time process. Boost quality, precision, and dependability in your audits.

See predictions for which employees might leave. Forecast churn rates and spot key factors in their data.

This time series method checks out future data volumes by studying past trends.

Promote products like accounts and cards more effectively to attract new customers.

Streamline credit portfolios and confirm income proof by automating decisions in a flash. This approach leaves old-school scorecards in the dust for both personal and business loans. Assist underwriters in judging creditworthiness with fresh data sources. Forecast the credit potential of folks with little to no credit history.

Figure out lending risks and chances of payment defaults, even when credit bureau data is scarce. Make it easier to predict if a customer might miss payments, helping to cut down on losses.

Use AI to make Buy Now, Pay Later (BNPL) options ready for tomorrow. Tackle risk, snag new revenue chances, and adapt swiftly to any rule changes. Dive into data beyond the usual credit checks—like behavior scores, phone info, and transaction data. This will help speed up credit checks and bring in more customers and merchants.

Analyze early payment risks and streamline document sorting to foresee the repayment or early payoff risks of high-interest debt like credit cards, and fixed-income assets such as mortgage-backed securities. Forecast if someone will apply for a home loan within specific time frames. Evaluate debt to minimize repayment and default risks.

Grasp how different items in a catalog connect by using past purchase data. Suggest similar products that go well with what customers pick, are often bought together, or can be swapped to better manage stock.

The "Content-Centric" Way. Aid financial institutions' marketing squads in boosting awareness, converting more leads, and enhancing engagement. Reach customers without cookies by delivering ads that matter, all without relying on third-party data. Instead of tracking user behavior, contextual ads focus on the setting where the ad shows up.

The "User-Centric Method". Deliver messages and content precisely when needed, tailored to individual and group customer actions. Assist financial institution marketing teams in boosting awareness, increasing conversions, and driving stronger engagement.

Broaden customer offers quickly and precisely using predictive analytics. Predict what your audience will do by examining their previous actions.

Create sharper customer profiles to fine-tune direct mail campaigns and cut costs on home mailings. Connect with customers just when they need to hear from you.

Real-time training and scoring of 2-way bond pricing models is a game-changer. Spot the gaps between actual prices and rule-based guesses. Fine-tune the rules engine for top-notch accuracy. Sharpen reference price predictions, even on those wild market days. Forecast the Option Adjusted Spread (OAS) for corporate bonds like a pro.

Conduct trade simulations and explore different scenarios. Execute trades using OMS/EMS systems.

Forecast elements like volatility for a set of securities. Pick the ones that produce those sweet alphas.

Guess the chances of a public company being snapped up in certain time periods.

Forecast the rollercoaster ride of the crypto market. Gauge the mood of the crypto crowd by crunching loads of diverse data. Connect users with brokers and banks to trade crypto directly, keeping fees on a diet.

Score applicants more precisely to cut down on manual checks and boost auto-approvals. Drop false alarms so only the real suspicious stuff reaches fraud experts. Make digital sign-ups smoother for users. Start watching for fraud earlier in the account's journey.

Swiftly and precisely spot fakes and forgeries in bank checks. Confirm handwritten checks too.

Spot collusion between buyers and sellers. Dive into activities, accounts, and even device IDs to sniff out fishy patterns and team-ups behind fake orders. Keep an eye on volume and threshold changes, too.

Discover fresh methods to boost fraud detection speed and accuracy for all types of transactions, whether it's CP, CNP, debit, or wire. Let AI cook up new fraud rules. Spot odd patterns in people, accounts, and networks hidden in big data piles. Focus on various groups with a customized method, and compare insights from these groups with those from everyone else. Identify recurring fraud rings and roll out counter-strategies.

Use machine learning to sharpen your eye for shady and illegal activities. Juggle compliance and expenses by evaluating customer risks, cracking down on corruption, and keeping your good name intact. Keep everything above board to satisfy those pesky regulators.