Momento solutions was born in San Diego in 2017. After our founder, david jiménez burgos, won a cash price in a entrepreneurship…
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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.
Leadership
- Andy Kellam Chief Revenue Officer (Cro) San Francisco, California, United States LinkedIn profile
- Campbell Brown Chief Executive Officer & Co-Founder San Francisco, California, United States LinkedIn profile
- Charlotte Walker Product Owner Auckland, Auckland, New Zealand LinkedIn profile
- Glen Alexander Chief Operating Officer Auckland, Auckland, New Zealand LinkedIn profile
- Jade Lemon Head Of People & Culture Auckland, Auckland, New Zealand LinkedIn profile
- John Milo Vice President Of Marketing Foster City, California, United States LinkedIn profile
- Matthew Hicks Director Of Data Assurance Auckland, Auckland, New Zealand LinkedIn profile
- Robert Kern Chief Technical Officer & Co-Founder Auckland, Auckland, New Zealand LinkedIn profile
- Thomas Joseph Head Of Data Science Auckland, Auckland, New Zealand LinkedIn profile
- Tony Hickman Sales Director Richmond, California, United States LinkedIn profile
- Xuxu Wang Chief Data Officer Auckland, Auckland, New Zealand LinkedIn profile
At a glance
| Classification | |
|---|---|
| Headquarters | San Francisco, California, United States |
| Founded | 2015 |
| Company size | 51-200 |
| Revenue | $10 - 50m |
| Customer Stories | 22 |
| Profiles | Log in to view |
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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