Propensity & churn models
Score each customer’s likelihood to buy, renew, upgrade, or leave, so sales and retention teams focus where it counts.
Industries
Deep roots in financial services - Built for any industry
Our founders built their careers in banking, mortgage, insurance, and telecom. The same methods help companies in any industry predict what customers will do and put AI to work.
Our strongest area
Financial services
Banks, fintechs, mortgage lenders, and insurance companies. Our co-founder Ahmad Salahuddin has spent more than ten years in financial services, at Capital One, JPMorgan Chase, Rocket Mortgage, IBM’s financial-services practice, and AmTrust Financial. Ayesha Khan advised fintech, startup, and banking clients at Deloitte.
That means we already speak the language of credit, servicing, fraud, and compliance teams. We understand why a model that is 2% more accurate but impossible to explain may never reach production.
Problems our founders have worked on
- Propensity models that score conversion likelihood across a mortgage pipeline
- Identifying high-risk bank customers and detecting fraud and anomalies
- Predicting attrition among life-insurance customers
- An LLM that helps card-servicing agents find the right information quickly
- A model that flags privileged documents for legal and regulatory review
- Branch-network ranking to inform consolidation strategy
- Counterparty tagging for customer transaction analysis
- Label-quality tooling that finds manual labeling errors in training data
Model risk & documentation
Models are built and documented to stand up to independent validation, audit, and examiner review.
Sensitive data
We work within your access controls and environments, and we minimize the data we touch.
Explainability
We favor approaches whose decisions can be explained to customers, regulators, and the business.
Beyond financial services
Private-sector companies in any industry
Most companies have the same core questions: who will buy, who will leave, what demand to plan for, and where AI can save time. Our founders have applied these methods in telecommunications, consulting, real estate, and energy.
Forecasting & planning
Forecast demand, volumes, and staffing needs from your own history, with clear ranges instead of single guesses.
Fraud, risk & anomaly detection
Find unusual transactions, claims, or activity early, and replace manual risk tracking with automated monitoring.
AI tools for your team
Assistants, search, and automation built on your documents and data, then supported and improved after launch.
AI and model evaluation
An independent check on an AI product or model before you buy it, build on it, or rely on it.
Customer & survey analytics
Turn survey responses, reviews, and support tickets into clear priorities using text analytics.
Public sector
Government & public sector
The same methods apply to federal programs: payment integrity, loan and credit programs, financial regulation, and independent evaluation of AI tools.
Our Government page covers the missions we’re built for and how to buy from us. If you’re a prime contractor, see how we team.
Have a hard data problem? Let’s talk it through.
Tell us what you’re trying to decide, build, or evaluate. A few sentences are enough to start, and we’ll tell you plainly whether we can help.