We codify the mathematical laws of optimization into private, autonomous agents. Solving for maximum efficiency, minimizing latency, and respecting your data sovereignty.
Deep Learning provides perception; Operations Research provides direction. Our agents don't just "generate" text â they solve complex Objective Functions subject to your real-world Constraints.
Maximize profit. Minimize waste. Respect cash flow, lead time, and capacity. This is not probabilistic guesswork â this is mathematical certainty applied to your business.
See How It Works →"AI is the engine. Operations Research is the steering wheel. Together, they navigate your business toward the global optimum."
We translate your most intractable business problems into optimization models with provable solutions.
Stochastic inventory control powered by Monte Carlo simulations. Dynamically balance service rates against holding costs in real-time.
Private, sovereign AI agents that operate within your infrastructure. No data leaves your perimeter. Full auditability, zero dependency on third-party APIs.
Transform executive intuition into data-driven strategy. Our models quantify trade-offs and prescribe optimal actions across multi-variable decision spaces.
Every engagement follows a rigorous, mathematically-grounded framework. We don't guess â we prove.
We work with your leadership to mathematically formalize what "success" means â in precise, measurable terms.
Every real-world limitation â budget, capacity, lead time, regulation â becomes a constraint in our optimization model.
We deploy autonomous agents that continuously solve the optimization problem in real-time, adapting as conditions change.
Monte Carlo simulations for dynamic safety stock optimization across your supply network.
Fuse internal data with macroeconomic signals for probabilistic demand forecasting.
Jointly optimize SKU-level safety stock across every node in the value chain.
Aggregate DERs for automated demand response. Predict spot prices for charge/discharge arbitrage.
Orchestrate solar, battery, and HVAC systems as a unified, revenue-generating grid asset.
Minimize demand charges through algorithmic load shifting and predictive scheduling.
Calculate per-user propensity scores to trigger mathematically optimal conversion actions.
Real-time price optimization that maximizes margin while respecting competitive positioning.
Detect at-risk customers before they leave and automatically deploy retention strategies.
SDEs for real-time market/credit/operational risk. Autonomous hedging under tail-risk scenarios.
Monte Carlo + Finite Difference IPV for illiquid instruments. IFRS 13 / ASC 820 compliant.
Simulate interest rate paths for Duration Gap and Convexity optimization. Maximize yield under LCR constraints.
Schedule a confidential consultation with our team of PhD researchers and Fortune 100 architects.
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