mathematical-optimization
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Gurobi Optimization: The value of one percent
Air France found fuel savings in the aircraft schedule. Gurobi’s business rests on a deceptively simple idea: better decisions can be worth more than more data.
Ajay Bidyarthy’s Case for Starting Small
Before founding Blackcoffer, Ajay Bidyarthy worked on network security and mathematical optimization. His route from research to consulting and hyperlocal networking reveals a recurring concern: making complicated information useful.
Alan Sevugan and the hidden mathematics of Monday morning
Before Workforce Optimizer became his company’s name, Alan Sevugan helped build scheduling software used by NASA. His continuing subject is closer to home: how to put people, preferences and the work ahead into a roster that makes sense.
Strangeworks bet on quantum. The customers needed answers.
The Austin company built a doorway to quantum computing. Its more revealing discovery was that customers cared less about the machine than the decision it could improve.
Workforce Optimizer - AI Enabled WFM
Workforce Optimizer is a Singapore-based B2B software company that builds an AI-enabled workforce management (WFM) platform. It uses machine learning and mathematical optimization to predict labour demand, automatically generate optimized staff schedules from millions of complex rules, track time and attendance, and dynamically redeploy people in real time when unplanned events occur. Originally founded as FriarTuck, the company serves healthcare, retail, and public-sector customers - including Singapore General Hospital and National University Hospital - and optimizes more than 20 million assignments each year for tens of thousands of daily users.
Bill Wells
Bill Wells is the CEO of AMPL Optimization Inc., the Mountain View company behind AMPL, the algebraic modeling language born at Bell Labs that has long been a gold standard for large-scale mathematical optimization. A UC Berkeley-trained mathematician, Wells runs the small but globally influential team that turns business-critical decisions in energy, finance, supply chain, and transportation into solvable models, while steering the company from a classic modeling language toward a modern, API-driven optimization platform.