
Sarang Jagdale is a PhD engineer turned supply chain AI co-founder who spent over two decades cracking some of the world's hardest logistics problems - from IBM's global consulting floors to the startup that eventually became Lyric. As Head of Decision Science at Lyric, he architects the algorithmic core of a platform now trusted by Coca-Cola, Google, and Mondelez to make their supply chains think for themselves. Lyric raised $43.5M in Series B funding in August 2025, bringing total funding to $67M.
AMPL Optimization builds the algebraic modeling language of the same name - a tool that lets engineers and analysts describe huge, messy real-world decision problems in clean mathematical notation and then hand them to any of dozens of solvers. Born at Bell Labs in the 1980s and now an independent California company, AMPL is used by more than 100 corporations across 40-plus industries to run optimization in production, from power grids and supply chains to portfolios and airline schedules.
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.
Penny Chen is the co-founder and CEO of Pax, the Y Combinator (S24) startup rebuilding duty drawback - the U.S. program that refunds import tariffs - as an AI-native brokerage. An MIT PhD and former research scientist at Amazon and Flexport, she stumbled on duty drawback while building supply-chain algorithms and saw a math problem hiding inside a bureaucratic one: each year roughly $10-15 billion in eligible refunds go unclaimed because legacy brokers take 10-20% and won't touch claims under $100k. Pax turns the rulebook into algorithms and LLM data extraction, promising a TurboTax-style experience that cuts filing from 9-12 months to a few weeks. The company raised $4.5M in seed funding led by Initialized Capital in April 2025.
Carolyn Mooney is the co-founder and CEO of Nextmv, a Philadelphia-based developer platform for building, testing, and deploying decision models - everything from vehicle routing to staff scheduling. A systems engineer by training, she ran missile simulations at Lockheed Martin, optimized pizza deliveries at Zoomer, and led Grubhub's systems engineering team before deciding the messy gap between data science and operations needed its own discipline. She calls it DecisionOps. In May 2026, FICO acquired Nextmv, vindicating the bet she and co-founder Ryan O'Neil made that optimization deserved the same engineering rigor as software.
Nextmv is a DecisionOps platform that gives developers and operations-research teams the tooling to build, test, deploy, monitor, and govern optimization and decision models - things like vehicle routing, scheduling, and packing. It treats decision models the way DevOps treats software: version control, CI/CD, scenario testing, shadow production tests, and a system of record for every decision. Founded in 2019 by ex-Grubhub engineers Carolyn Mooney and Ryan O'Neil, the company raised an $8M Series A led by FirstMark Capital and was acquired by FICO in May 2026.
Lyric is a Sunnyvale-based AI platform built for the people who actually run supply chains. Its Lyric Studio harmonizes data, algorithms, configurable workflows, and accelerated compute so that planners, engineers, and data scientists can model, test, and deploy decision intelligence apps - from demand forecasting and inventory to network design and transportation. Fortune 500 customers use it to compress months-long modeling cycles into days.
Jinlin Wang arrived in the United States in 1996 with $50 in his pocket and a borrowed one-way ticket to pursue a PhD in electrical engineering. Three decades later, he is General Partner at Foothill Ventures, an early-stage fund that has backed seven seed-stage unicorns - five of them founded by Chinese immigrant engineers. Wang's career spans big tech (PeopleSoft, Oracle, Yahoo, Microsoft), startup founding (Auryc, acquired by Heap in 2022), and venture investing through three successive funds totaling over $311M. He holds 7 patents and a cross-disciplinary worldview shaped by Tsinghua University, the University of Connecticut, and Stanford - a combination that informs his conviction that the most interesting startups sit at the edges between fields.

Cameron R. Wolfe, Ph.D. is a Senior Research Scientist at Netflix's Globalization team and the author of Deep (Learning) Focus, a twice-weekly Substack newsletter with 60,000+ subscribers that translates cutting-edge ML research into approachable long-form essays. A Rice University computer science PhD, he has built a reputation as one of the clearest explainers of large language models, RLHF, and AI agents in the field, bridging academia and industry with methodical depth and intellectual generosity.