Decisions you can bet on.

Cut overruns and delays before the first pour. We build models that forecast cost, schedule, and material risk.

• Cost forecasting — predict budgets from historical project data and flag overruns early.
• Resource planning — optimize crew, equipment, and sequencing.
• Demand forecasting — anticipate material needs and prevent shortages.
• Waste reduction — identify where excess and rework are eating margin.

Better care, lower waste. We help hospitals forecast demand, catch fraud, and deploy capacity where it matters.

• Patient-flow forecasting — staffing and capacity plans driven by admission predictions.
• Fraud & claims review — anomaly detection for billing and medical coding.
• Budget optimization — inventory and spend models that cut waste without cutting care.
• ICU bed management — forecast demand and avoid costly over- or under-capacity.
• ER wait-time reduction — predict peak hours and match staffing to real demand.

AI and blockchain tooling for valuation, transactions, and underwriting.

• Market trend modeling — forecast prices and surface investment signals.
• Automated valuation — price properties from location, demand, and market data.
• Smart contracts — transparent, auditable property transactions on-chain.
• Mortgage risk scoring — sharper lending decisions, faster approvals.
• Tenant screening — surface risk without relying on noisy proxies.

Cut delivery cost, reduce stockouts, and keep fleets moving.

• Demand forecasting — balance stock against real demand signals.
• Fleet & route optimization — lower fuel burn and on-time misses.
• Live shipment tracking — ML-backed ETAs and exception alerts.
• Predictive maintenance — catch failures before they ground a truck.
• Autonomous operations — from smart sortation to last-mile automation.

We integrate blockchain where it actually earns its keep — transparency, provenance, and settlement.

• Secure transactions — decentralized ledgers for auditable payments.
• Smart contracts — self-executing agreements that remove reconciliation work.
• Supply-chain tracking — provenance for food safety and pharmaceuticals.
• Identity verification — stronger KYC without hoarding personal data.
• DeFi integrations — selectively, when they solve a real cost or access problem.

Statistical models for traders, funds, and treasuries that need to measure risk, not guess it.

• Market prediction — trend, sentiment, and macro signals combined in one model.
• Algorithmic trading — ML- and probability-driven strategies from research to live.
• Risk management — VaR, stress tests, and drawdown controls built to hold up.
• Anomaly detection — spot unusual market or account behavior before it costs you.
• Portfolio optimization — Monte Carlo and Bayesian allocation, not naive mean-variance.

Reduce waste, tighten margins, and price smarter with models built for real operators.

• Demand forecasting — order what you'll sell, not what you hope to.
• Dynamic pricing — menu pricing that responds to cost and demand.
• Table turnover — seating strategies that lift revenue at peak.
• Supply-chain planning — avoid 86ing items and prevent spoilage.
• Loss prevention — detect unusual transactions and shrink patterns.