
PredictHQ
Level 2, 23 Customs Street East, Auckland Central, Auckland, 1010, New Zealand
Overview
PredictHQ is a demand intelligence company based in Auckland, New Zealand that aggregates and verifies more than two billion data points to enrich nearly 25 million events across 30,000 cities into a single API. The platform correlates historical demand with upcoming events to help businesses identify which events will drive demand and to pinpoint causes behind fluctuations. PredictHQ serves major organizations in the airline, accommodation, retail and transport sectors and counts customers such as Accenture, Booking.com, Domino’s, goPuff, Legion Technologies, Qantas, Sonder and Uber. Led by CEO and co-founder Campbell Brown, the company provides one global events API that surfaces intelligence on concerts, sporting events, conferences, school holidays, severe weather and more. In December 2020 PredictHQ raised $22M in a Series B and said it would use the funds to expand operations and business reach and to enhance product development. The company also plans an upcoming release of a correlation and prediction engine to extend its product capabilities. PredictHQ builds a real-world event intelligence platform and API that aggregates and verifies more than 2 billion data points to enrich nearly 20 million events across 30,000 cities. Its dataset covers concerts, sports, conferences, performances, public holidays, severe weather and terrorist attacks, standardized for use in forecasting, planning and marketing models. Developers, product leaders and data scientists at companies such as Uber, Booking.com, Domino’s, airlines and ride-sharing firms use PredictHQ to adjust services, supply chains, features, messaging and pricing. The company is led by CEO and co-founder Campbell Brown and is based in San Francisco, CA. PredictHQ recently raised $10m in a Series A and intends to use the funds to expand operations. Its platform is positioned to enable customers to build forecasting and planning models at scale using enriched real-world event data.
- Total raised
- $32M
- Funding rounds
- 2
- Latest round
- Series B
- Latest activity
- Feb 2020
Industries
- Big Data
- Business Intelligence
- Data Integration
- Developer APIs
Recent funding
Series B
Feb 2020
$22M
Series A
Nov 2018
$10M