Build smarter AI with real-world awareness

Train and tune models with dynamic, verified event data and ML-ready features. PredictHQ is the real-world intelligence layer for AI systems, transforming global events into structured, contextual features that power more adaptive, accurate, and impactful models.

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The Challenge

Static AI Models Miss Real-World Disruption

AI and ML models are only as good as the data they learn from. Most rely heavily on static internal datasets or synthetic sources, which leaves them blind to real-world conditions. When concerts, weather events, natural disasters, or holidays impact demand patterns, these models can’t adapt quickly. The result is lower accuracy, slower response times, and missed business opportunities.

Our Solution

Verified event signals and features for context-aware AI

PredictHQ bridges the gap between static models and dynamic environments. Our platform provides a rich intelligence layer of verified, real-world event data, prebuilt features, and demand context. These are designed for seamless integration into ML pipelines and AI systems, enabling them to learn from the drivers that influence demand in the physical world. Whether you are building predictive models for staffing, forecasting, pricing, or supply chain, real-world AI begins with real-world context.

01

Gain relevance with Beam

Remove the guesswork with Beam, which identifies exactly which events impact your business. Get fast, localized insights to train, tune, or explain your models with confidence.

02

Train models faster with Features

Rapidly and cost effectively prove events impact your locations of interest with our Features API built on live real-world data, which is better than synthetic data.

03

Achieve explainability for what is impacting demand

Once you have proven the accuracy of events on your demand, you can now seamlessly bring in specific events for more granular explainability on demand patterns.

01

Centralize and aggregate

Have full context of upcoming events that may impact demand

Contextual data trains your models to adapt to changing conditions and unforeseen events so you can respond to real-world disruptions and opportunities in real time. PredictHQ curates a massive dataset of 19 categories of events across 30,000+ cities worldwide, with details including:

Learn more about data enrichmentArticle: Reshaping the LLM Landscape
02

Train AI models with real-world context

Seamlessly integrate with your existing AI infrastructure to rapidly and accurately train your models, leveraging the world’s most trusted source of intelligent event data through a layered approach:

  • Events: The world’s only accurate and intelligent source of real-world event data, enabling detailed analysis of specific events and explainability impacting your business.
  • Features: Machine learning-ready features based on live events, saving development time.
  • Beam: Identifies which events have a clear, measurable impact on your unique business and specific locations.

Customize data access to match your infrastructure and development goals. Use PredictHQ Features as the foundation, and integrate PredictHQ Events for comprehensive visibility of event impact.

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03

Unleash the power of context-aware Generative AI

Context-rich AI training data and ML-engineered features become more critical as you deploy LLMs and machine learning models in digital products and services. Contextual event data and ML-engineered features give your AI systems deeper contextual awareness, driving business agility, operational efficiency, and AI-powered growth opportunities.

Consider retail demand forecasting AI models gain context awareness through real-world event data integration. With PredictHQ, the system could automatically adjust forecasts based on upcoming local events, impacting each location. This enables more accurate demand planning, leading to better inventory management and customer satisfaction.

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Customer Example

Databricks and PredictHQ: Event-Aware GenAI at Scale

We partner with leading data analytics platforms like Databricks, to integrate PredictHQ’s unique real-world intelligence into a familiar, consumable format, enabling speed and scale. Databricks' powerful data processing and PredictHQ's rich event data enable the usage of advanced generative AI applications that provide valuable insights by understanding and anticipating the impact of global events. This integration is an example of how you can enable and improve generative AI models to uncover nuanced patterns, understand global event impacts, and predict trends with greater precision.

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Give your AI models the real-world context they need

AI and forecasting models don’t operate in a vacuum. With a deeper understanding of the world around them, your models can power more informed decisions. Companies across industries are using this data to unlock higher levels of model accuracy and revenue. PredictHQ is trusted by organizations powering the next generation of Real-World AI for demand forecasting, workforce optimization, and targeted marketing.

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Over $5 Trillion of Demand Processed

We know which events will impact your business. Fact.

PredictHQ is the only platform in the world that uncovers the impact that real-world events have on business, at scale. Shaping the next generation of real-world AI/ML models, and unlocking Billions in potential upside.

  • $5.2 Trillion
    of demand data correlated to
  • 105 Million
    events via
  • 1.19 Billion
    predictions, across
  • 0
    countries, territories, and special areas, unlocking
  • $150 Billion
    in potential ROI
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