Ground your AI in verified real-world context

Give your models, assistants, and agents the context they can't see on their own. The result is AI you can trust at decision time, from the models you train to the assistants you run in production.

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The Challenge

Confident AI is making operational decisions on incomplete context

Your teams increasingly trust AI to answer questions and drive decisions about each location, but most AI runs on internal datasets and synthetic data alone, blind to the events and conditions driving demand around each site. The answer comes back confident, and wrong. At one location that's an inconvenience. Across your network, you're scaling decisions built on what the AI never saw.

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

Chatbots & Assistants that see demand shifts coming

Confident local decisions at every site, without the wait

AI chatbots and assistants give the people running your locations the answers they need to act on the spot, without waiting on a central team. When a site manager asks what's impacting their site this month, PredictHQ grounds the AI in verified real-world context, tying the answer to the demand, footfall, and disruptions shaping staffing, inventory, and pricing. Every location finally makes local decisions based on what's actually happening around it.

NEW: Build with Bolt, our own real-world aware AIArticle: Reshaping the LLM Landscape
02

Demand-driven automation and AI workflows

Responsiveness that scales across every site, without the overhead

AI workflows and augmented automation let your routine operations respond to changing conditions automatically, so staffing, inventory, and pricing stay aligned with demand instead of lagging behind it. PredictHQ supplies the verified real-world context these workflows act on, so you can scale how fast you respond across every location, without scaling the cost to manage it.

NEW: Rapidly integrate with our MCPExplore our APIs
03

Unleash Smarter Agents & A2A Workflows

Network-wide decisions, made faster than any team could

Agentic workflows can optimize decisions across your entire network, such as cross-location or cross-system tradeoffs no team could weigh quickly enough on its own. With agents coordinating with each other, grounded in PredictHQ's shared real-world context, inventory can efficiently route between stores, staff can be rebalanced across regions, and products repriced ahead of demand surges. You unlock network-wide decisions that simply weren't possible at human speed before.

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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 $7 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.

  • $7.2 Trillion
    of demand data correlated to
  • 127 Million
    events via
  • 1.19 Billion
    predictions, across
  • 0
    countries, territories, and special areas, unlocking
  • $150 Billion
    in potential ROI
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