PredictHQ
- Company typePrivate
- Founded2016
- HeadquartersAuckland, New Zealand
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
PredictHQ firmographics
Firmographics- Name
- PredictHQ
- Legal name
- PredictHQ Ltd
- Website
- https://predicthq.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Ownership category
- akta.pro rank
PredictHQ industry classification
Industry- Product category
- Demand Intelligence / Event Data Analytics
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Scenario Planning, Forecasting Platforms & Planning Intelligence (HDAAAHAL)
- akta.pro secondary industry
- Demand Planning, Forecasting & Inventory Optimization Services (CRAOAOAG)
Keywords
Where PredictHQ is headquartered
LocationHeadquarters
- HQ city
- Auckland
- HQ country
- New Zealand
- HQ region
- Oceania
Markets served
PredictHQ business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- API Access and Subscriptions: PredictHQ generates revenue through subscription-based API access with tiered plans based on API call volume, data access levels, and feature sets. Enterprise customers access the platform via REST APIs and SDKs with pricing based on usage and data requirements.
- Enterprise Platform Licensing: Direct enterprise licensing for large organizations requiring comprehensive event intelligence across multiple business units. Includes dedicated support, custom integrations, and premium features.
Go-to-market motion4 records
Distribution channels6 records
Marketing channels7 records
PredictHQ product offering
Product offeringCore offering
PredictHQ operates an API-first Real-World Context Platform that delivers verified global event data, prebuilt ML features, and event-driven demand forecasts to enterprise customers. The platform covers 19 event categories across 195+ countries, processing 127+ million events correlated to over $7 trillion in demand data, and is accessed via REST APIs, Python SDK, and integrations with Snowflake, AWS Data Exchange, Databricks, Azure, and Tableau. It is sold primarily through tiered API subscriptions and enterprise licensing, with named customers including Uber, Instacart, Domino's, Walgreens, Expedia Group, IHG, and WPP.
Product overview
PredictHQ is a real-world context platform offering a portfolio of interconnected products organized as a core platform with specialized APIs and AI-powered tools. The core Real-World Context Platform serves as the foundation, with three primary data products — Events (verified event data API), Features (100+ prebuilt ML features), and Forecasts (automated event-driven forecasting) — all powered by Beam, the patented relevancy engine that identifies which events matter per location. Supporting tools include Bolt (AI-native developer environment for integration), MCP Connector (for AI agents and LLM workflows), and Predicted Impact Area (geographic catchment analysis). Dedicated APIs cover Events, Features, Demand Surge, and Live TV Events. The Expedia Group partnership integration embeds this intelligence into Expedia's Partner Central platform for lodging partners.
Differentiator
Problem solved
Functional benefit
Products and services
- Real-World Context Platform API-first platform that delivers verified real-world event context to enterprise forecasting models, AI systems, and operational workflows, explaining and predicting over 60% of demand variability.
- Events Verified, enriched real-world event data product covering 19 categories (sports, concerts, severe weather, local disruptions, etc.) with proprietary features including predicted attendance, spend, rankings, radius, and end times for enterprise data science and operations teams.
- Features Prebuilt ML-ready features derived from global events and demand signals. Delivers 100+ production-ready features in 5 categories (attendance predictions, viewership data, impact scoring, etc.) that integrate directly into ML pipelines with a guaranteed minimum 10% improvement in forecast accuracy.
- Forecasts Event-aware automated forecasting product that transforms historical demand data into accurate, explainable, event-driven predictions enriched with verified real-world context. Boosts forecast accuracy by up to 30% and eliminates the complexity of building and maintaining forecasting models.
- Beam Patented relevancy engine that pinpoints which real-world events drive demand at each location using time-series decomposition, automated regression, and feature importance testing, with location-level precision and a reduction of irrelevant signals by up to 90%.
- Bolt AI-native developer environment that turns natural language descriptions of integration needs into production-ready API code. Features persistent notebooks with Visual/Code/Data tabs and shareable team notebooks.
- MCP (Model Context Protocol) Connector Model Context Protocol connector that gives AI assistants (Claude, ChatGPT) access to verified events, demand signals, Beam analyses, and forecasts through a single natural language prompt, embedding real-world context directly into AI agents and LLM-powered workflows at inference time.
- Predicted Impact Area Automated geographic catchment boundary tool that determines where real-world conditions are likely to influence demand around each location by combining $7T+ in real demand data, travel isochrones, and geographic features to generate demand-calibrated, terrain-sensitive polygons tuned to specific industries.
- Events API REST API providing access to individual, verified event data with granular filtering by rank, location, active date, and category. Returns JSON responses with event details including predicted attendance, spend, rank, and impact data.
- Features API API providing prebuilt, ML-ready aggregated features derived from event data, delivering statistical summaries across attendance, rank, viewership, impact, and spend that eliminate the need for data transformation and feature engineering.
- Demand Surge API API that scans any 90-day period for abnormal increases in attendance caused by event clustering within a specific location, returning surge intensity ratings to quickly identify demand anomalies without analyzing individual events.
- Live TV Events API API providing historical and predicted TV viewership data for televised events such as sports, filterable by city or county for granular demand forecasting at store level, covering seven top US sports leagues.
Quantifiable outcome
- 10% to 30% improvement in forecast accuracy
- +4 more outcomes
Companies that use PredictHQ
Customer profileNamed customers12 records
Segments8 records
Ideal customer profiles2 records
PredictHQ technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability9 records
Feature10 records
PredictHQ partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core.
- Expedia GroupcorePredictHQ's first deeply integrated online travel agency partner. Integration brings verified event signals and predictive demand forecasting into Expedia's Partner Central platform, used by lodging partners to manage rates, inventory, and performance. Joint forecasts project over $8.1 billion in sports tourism spending across North American host cities during FIFA World Cup 2026.
- SnowflakecoreNative integration via Snowflake Data Marketplace enabling seamless access to PredictHQ's event intelligence within existing Snowflake data workflows. Part of partner ecosystem for enterprise data integration.
- Amazon Web Services (AWS)coreIntegration via AWS Data Exchange (ADX) providing access to PredictHQ's event data within the AWS ecosystem. Part of enterprise cloud integration strategy.
- DatabrickscoreIntegration partnership enabling PredictHQ's event intelligence to be used with Databricks' data processing and GenAI capabilities. Featured in Data Marketplace for advanced analytics applications.
Scale indicators12 records
Recent moves6 records
Expansion highlights6 records
PredictHQ competitors and assessment
Company assessmentDirect peers
- Foursquare: Foursquare operates a location intelligence platform with visitation and POI data used for demand and audience analytics. It overlaps with PredictHQ in providing location-anchored behavioral data to retailers, QSRs, and travel brands for demand planning and audience understanding.
- Unacast: Unacast aggregates and enriches location data, including foot traffic and event-driven movement, and sells it to retailers and real estate operators. It is comparable because both companies transform third-party event and movement signals into decision-ready demand intelligence for enterprise customers.
- Dataminr: Dataminr ingests real-world event streams (news, social, public sensors) and surfaces real-time alerts and risk intelligence to enterprises. It is comparable because both companies monetize verified real-world event data delivered via APIs to enterprise decision-makers, though Dataminr is more concentrated on real-time corporate risk than demand forecasting.
- Predata: Predata applies behavioral event signals to forecasting and risk prediction, most prominently in geopolitical and financial markets. It is directly comparable because it sells event-driven predictive intelligence as a data/API product to enterprise customers, mirroring PredictHQ's core use case of turning real-world events into demand forecasts.
Broad incumbents
- Anaplan: Anaplan is a large enterprise planning platform covering sales, supply chain, and workforce planning. It overlaps with PredictHQ in the demand and scenario planning categories, though it operates as a broad incumbent across many planning workflows rather than specializing in event-driven context.
- RELEX Solutions: RELEX provides unified retail planning software spanning demand forecasting, inventory, and workforce. It overlaps with PredictHQ on the demand forecasting and inventory optimization use case for retail and QSR, operating as a broader incumbent planning suite rather than a pure event-data layer.
- Blue Yonder: Blue Yonder provides AI-driven supply chain and retail demand forecasting to global enterprises. It is comparable to PredictHQ because both sell demand forecasting into retail, QSR, and logistics customers, though Blue Yonder is a much broader incumbent with end-to-end planning suites.
- Databricks: Databricks is a data and AI platform that distributes PredictHQ via its marketplace and also enables customers to build their own event-aware forecasting. It is comparable as both a partner distribution channel and a potential competitive incumbent that could commoditize event-data analytics inside its lakehouse.
- AWS Data Exchange: AWS Data Exchange is Amazon's third-party data marketplace where PredictHQ distributes event intelligence. It is comparable as both a core distribution channel and a potential competitive incumbent, since AWS could expand its own event and demand datasets to displace third-party providers.
- Snowflake: Snowflake is a cloud data platform that lists PredictHQ in its marketplace and also lets enterprises build demand forecasting natively. It is comparable because the same customers consume PredictHQ through Snowflake, while Snowflake itself could bundle competing event-aware analytics features.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
PredictHQ social profiles
Digital presencePredictHQ financial estimates
Financial estimateRevenue estimate
Valuation estimate
PredictHQ leadership team
Management profileNumber of profiles
Profiles10 records
PredictHQ funding detail
Funding detailFunding overview
Funding rounds5 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
PredictHQ M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about PredictHQ
What does PredictHQ do?
PredictHQ operates an API-first Real-World Context Platform that delivers verified global event data, prebuilt ML features, and event-driven demand forecasts to enterprise customers. The platform covers 19 event categories across 195+ countries, processing 127+ million events correlated to over $7 trillion in demand data, and is accessed via REST APIs, Python SDK, and integrations with Snowflake, AWS Data Exchange, Databricks, Azure, and Tableau. It is sold primarily through tiered API subscriptions and enterprise licensing, with named customers including Uber, Instacart, Domino's, Walgreens, Expedia Group, IHG, and WPP.
Is PredictHQ a public or private company?
PredictHQ is a private company. It is classified as venture growth investor backed and is currently operating.
When was PredictHQ founded?
PredictHQ was founded in 2016. It employs 51 to 100 people.
Where is PredictHQ based?
PredictHQ is headquartered in Auckland, New Zealand, in the Oceania region.
How does PredictHQ make money?
Two revenue lines are on record. API Access and Subscriptions are the primary driver. The others are enterprise Platform Licensing.
Who are PredictHQ's main competitors?
Direct peers on record are Foursquare, Unacast, Dataminr and Predata. Broad incumbents are Anaplan, RELEX Solutions, Blue Yonder, Databricks, AWS Data Exchange and Snowflake.
Does PredictHQ have an API?
Yes. PredictHQ offers a suite of public APIs for accessing event data and demand intelligence. The APIs include: Events API for accessing individual event data and intelligence (supports Python and Curl); Features API for prebuilt ML-ready features to improve forecasting accuracy (supports Python and Curl); Demand Surge API for scanning 90-day periods for abnormal attendance increases; Live TV Events API for historical and predicted TV viewership data to predict demand surges from televised events; and Forecasts API for generating event-driven automated forecasts. All APIs support integration with Snowflake, AWS (Amazon Data Exchange), and Databricks. Developer documentation is at docs.predicthq.com.
What industry is PredictHQ in?
PredictHQ's product category is Demand Intelligence / Event Data Analytics. Its primary akta.pro industry code is HDAAAHAL, Scenario Planning, Forecasting Platforms & Planning Intelligence, with a secondary code of CRAOAOAG, Demand Planning, Forecasting & Inventory Optimization Services. Its NAICS code is 54151 and its SIC code is 7370.