Industries

Cross-industry deployments.

The same foundational architecture has been adapted to ten regulated, data-heavy verticals. The use cases below are abstracted from active and recent engagements with anonymized clients.

Why the foundational + downstream pattern travels.

Customer behavior in retail banking, wealth management, insurance, and retail share more structure than they appear to. Foundational models trained across them learn the common signal — propensity, attrition, profitability — and downstream models apply each client's specific schema and rules. New industries become onboarding exercises, not greenfield builds.

01 · Industry
Banking
Predictive AI for credit cards, personal loans, and channel optimization. Foundational behavior models trained on millions of customer interactions, downstream heads tuned per institution.
- Credit card up- and cross-selling
- Premium card response and portfolio mix shift
- Personal loan and savings placement at branch
+44% premium credit card response in a top 10 NA bank; +21% conversion on cross-sell.
02 · Industry
Wealth Management
Investor and advisor intelligence — predicting cash withdrawals, transfers out, account closures, and advisor attrition months in advance, then routing the next best retention action.
- Investor attrition prediction (significant cash withdrawals, transfers, account closures)
- Advisor attrition prediction and AUM retention
- Product propensity and next-best investment suggestion
92% holdout performance on attrition; $4.3B mid- and high-risk retention opportunity identified.
03 · Industry
Insurance
Lead scoring and conversion lift for personal and corporate lines — turning prospect prioritization into a measurable revenue lever.
- Prospect-to-customer conversion via lead scoring
- Cross-sell across insurance products
- Renewal and retention strategy
+98% lift in prospect-to-customer conversion at a top 10 global insurer.
04 · Industry
Retirement
Up- and cross-selling voluntary retirement and investment solutions to existing plan holders, plus attrition prevention in pension portfolios.
- Voluntary retirement up- and cross-sell to 403(b) holders
- Attrition prevention in pension and life portfolios
- Up-sell from mandatory to voluntary plans
$11.17B AUM up- and cross-sell opportunity identified at a top US financial services and insurance company.
05 · Industry
Retail
Demand forecasting, recommendation systems, store segmentation, and channel optimization. Foundational models trained on years of transaction history.
- 14-month sales forecasting
- Product mix optimization across regions
- Store segmentation and clustering
90% minimum prediction accuracy at a top Brazilian supermarket chain; 21% revenue lift in a top 10 chemical company.
06 · Industry
Telecommunications
Customer churn prediction, retention strategy, and collection optimization across SMB and consumer segments.
- Portability churn — retention plays within 72 hours of request
- SMB payment and non-payment prediction
- Customer churn with sentiment-analysis enrichment
+12% conversion on portability retention at a top 3 Brazilian telco; 10.7% potential collection lift at a top 5 Peruvian telco.
07 · Industry
FMCG
Demand forecasting and consumer-sentiment integration across alcoholic and non-alcoholic beverages and packaged goods.
- Demand forecasting across on- and off-premise channels
- Real-time social listening and sentiment integration
- New-product launch reaction modeling
300% improvement vs. industry-average forecast accuracy at a top global beverages company.
08 · Industry
Energy
AI applied to operational and commercial optimization in energy and utilities.
09 · Industry
Automotive
Cross-selling auto loan customers into broader banking products; predictive AI applied to financing and aftermarket revenue.
10 · Industry
Mass Media
Up- and cross-selling streaming and video products to existing subscribers.
+47% ARPU lift at a top Latam mass media conglomerate.