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 (Free trial; quote-based/API subscription pricing for Events, Features and Forecasts)
- Last updated
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
Classification (raw research text)
- Core focus
- Real-world context, demand intelligence and event-aware AI/ML forecasting
- Core industry
- AI infrastructure / Demand forecasting / Data intelligence
- Core category
- Real-world context API and event-aware forecasting platform
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments