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About PredictHQ
Predicthq is the real-world context platform powering enterprise AI decisions. It explains real-world demand variability and predicts when event-driven demand will impact a business, helping enterprises improve forecasting, pricing, staffing, inventory, and operational decisions at decision time. By grounding forecasting models, AI systems, and llm-powered workflows in verified real-world context, predicthq improves inference quality, explainability, and trust in production. Relied on by leading enterprises including uber, expedia, wpp, walgreens, domino’s and more. Predicthq is embedded directly into live operational workflows to fuel smarter AI.
At a glance
| Classification | |
|---|---|
| Website | Log in to view |
| Headquarters | San Francisco, California, United States |
| Founded | 2015 |
| Company size | 51-200 |
| Employees | Log in to view |
| Profiles |
Profile
Specialties: Data As A Service, API, Business Intelligence, Task Management, Data Intelligence, Local Events API, Demand Forecasting, Revenue Management, Dynamic Pricing, Demand Forecasting Model Improvement, Dynamic Pricing, Workforce Optimization, Inventory Management, Predictive Analytics, Data Centralization Strategies, Event Data, Event Visibility, Economic Impact, Predicted Events, Location Intelligence, Data Visualization, And Delivery Optimization, Delivery Optimization, Events API, Real-World Event Database, And Demand Intelligence, Smarter AI, Workforce Optimization, Forecasting, Demand Forecasts, Real-World Signals, Local Event Database, And Feature Engineering, Workforce Management, AI, Data, Feature Engineering, Machine Learning, Model Training, WFM, Local Events Data, Demand Sensing, External Data Sources, Predicting Demand, Model Accuracy, Forecast Accuracy, Features API, And Forecasts API
Technologies: Appnexus, Redash, Pardot, Booking.Com, Sequoia One, Moment.Js, Lottiefiles, Mailchimp, Slack, Google Bigquery ...
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