Physics-Informed forecasting
Models that reason over demand, lead times, weather, and operational movement across time and space.
Company
AI Foresight Agent
GistFlow helps organizations shift from reactive analytics to proactive, decision-centric intelligence at scale.
Research
Start from an operating question and gather source-backed facts, constraints, and signals teams can inspect.
Forecast
Predict demand, lead time, and manage risks and disruptions with confidence.
Decide
Turn research and forecasts into actionable insights that drive decisions.
Why we built it
Data science is hard, GistFlow made it easy.
Organizations have more data than ever, but turning scattered signals into timely decisions still requires expert analysts, custom models, and slow handoffs across tools.
GistFlow was created to make that work accessible: ask in natural language, conduct in-depth research, forecast what comes next, run what-if scenarios, and act with a shared evidence trail.
Initially focused on supply chain operations, GistFlow pioneers a fundamentally new category of AI — the foresight agent that doesn't just support decisions, but anticipates what's coming and acts on it.
Research foundations
Forecasting, credible AI, and agentic systems applied to operations.
Credible AI
Forecasts and recommendations need uncertainty, calibration, and evidence teams can inspect.
Multimodal Agentic systems
Research workflows that plan, decompose, execute, verify, and return structured outputs across texts and spatiotemporal data.
Founding team
Founders with research and production AI experience.
Rose Yu
Co-Founder & CEO
Faculty, Computer Science at UC San Diego; physical AI and spatiotemporal learning; MIT Technology Review Innovators Under 35 in AI; 2025 Samsung AI Researcher of the Year; traffic forecasting model deployed in Google Maps.
Physical AI · spatiotemporal learning
Yian Ma
Co-Founder & Chief AI Officer
Faculty, Data Science at UC San Diego; credible AI and scalable inference; COVID-19 forecasting model ranked #1 nationally.
Credible AI · scalable inference
Zihao Zhou
Co-Founder & CTO
PhD, Computer Science at UC San Diego; previously developed agentic systems at Apple; 1st paper on LLMs for time series anomaly detection.
Multimodal AI · agentic systems
Advisors & Investors
Guided by leaders in AI, supply chain, and enterprise software.
Global Supply Chain
Tom Linton
Former CSCO, Flex
Supply chain operator and author guiding enterprise operations strategy.
Background
- Former CPO at IBM and LG Electronics
- ISM J. Shipman Gold Medal recipient and McKinsey senior advisor
- Author of The Living Supply Chain
Foundation Models & ML Systems
Christopher Re
Professor of Computer Science, Stanford
Machine learning systems researcher and company builder in enterprise AI.
Background
- MacArthur Fellow
- Co-founder of SambaNova, Snorkel AI, and Lattice
- Pioneer in foundation models and machine learning systems
Enterprise SaaS Revenue
Craig Lewis
Former CSO, project44
Enterprise revenue leader across supply chain technology and SaaS.
Background
- 25+ years in enterprise SaaS go-to-market leadership
- Five exits, including one IPO
- Scaled Cadence from $150M to $600M and Wind River from $250M to $500M
Venture & Innovation Ecosystems
Greg Horowitt
Director of Innovation Design, UC San Diego
Venture ecosystem leader connecting research, founders, and markets.
Background
- Managing Director at T2 Venture Capital
- Co-author of The Rainforest and co-founder of Global CONNECT
- Kauffman Fellow and venture lecturer at Stanford and UC San Diego
Company facts
Based in San Diego. Built for foresight at operational scale.
- Founded
- 2026
- Headquarters
- San Diego, California
- Focus
- AI foresight agent platform, initially focused on supply chain operations
- Contact
- contact@gistflow.ai
Get in touch