| Description |
| Summary |
API-first real-world context and demand intelligence platform that embeds verified event/context signals into forecasting models, AI systems and operational workflows.
|
|
|
|
| Description |
PredictHQ provides Events, Features, Forecasts, Beam, Bolt and MCP capabilities for embedding real-world context into AI/ML forecasting, pricing, workforce planning and demand intelligence workflows.
|
|
|
|
| Positioning |
Real-world context platform for AI and forecasting
|
|
|
|
| Key facts |
| HQ location |
San Francisco, CA, USA; Auckland, New Zealand
|
|
|
|
| Founded |
2015
|
|
|
|
| Employee range |
51-200
|
|
|
|
| Funding stage |
Series B
|
|
|
|
| Company type |
Private
|
|
|
|
| Pricing model |
custom quote, freemium, subscription
|
|
|
|
| Last updated |
Jun 21, 2026
|
|
|
|
| Financials |
| Revenue estimate |
Undisclosed; third-party estimates vary (~$3.8M ARR to ~$12M annual revenue)
|
|
|
|
| Valuation estimate |
Undisclosed
|
|
|
|
| Investments |
$32M total disclosed funding (Series A $10M in 2018; Series B $22M in 2020 led by Sutter Hill Ventures)
|
|
|
|
| Relationships |
| Target customers |
Data science, forecasting, operations, pricing, workforce, inventory, retail, travel, hospitality, QSR, transportation and delivery teams
|
|
|
|
| Key competitors |
Ticketmaster, Eventbrite, SeatGeek, StubHub, Data Appeal, Gravy Analytics, Weather Source, SafeGraph
|
|
|
|
| Known customers |
Uber, Expedia, WPP, Walgreens, Domino's, Instacart, Booking.com, Accenture, Amadeus
|
|
|
|
| Segments & Industries |
| Segments |
AI Workflows, AI Developer Tools, Traditional ML, Analytics & BI
|
|
|
|
