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PredictHQ

https://www.predicthq.com Research Team Data
Active

API-first real-world context and demand intelligence platform that embeds verified event/context signals into forecasting models, AI systems and operational workflows.

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 (51-200)
Funding stage
Series B
Company type
Private (Private)
Pricing model
Custom Quote Freemium Subscription (Free trial; quote-based/API subscription pricing for Events, Features and Forecasts)
Last updated
Jun 21, 2026

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)

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 segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • System / API Integration Primary focus
  • AI / LLM Data Pipeline Primary focus
  • Traditional Machine Learning Primary focus
  • Sales / Revenue Intelligence Secondary feature
  • Analytics / BI / Decision Intelligence Primary focus
  • Vertical-Specific AI Primary focus
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Not emphasized
  • Multi-agent Orchestration / Runtime Not emphasized
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Not emphasized
  • Retrieval-Augmented Generation Not emphasized
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Not emphasized
  • AI / LLM Data Pipeline Primary focus
  • Document AI / Document Processing Not emphasized
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Primary focus
  • AI Quality Assurance / LLM Evaluation Not emphasized
  • AI Observability / Monitoring Not emphasized
  • AI Security / Guardrails Not emphasized
  • Data Privacy / PII / Confidential AI Not emphasized
  • AI Governance / Policy Management Not emphasized
  • AI Risk / Compliance Not emphasized
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Not emphasized
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Not emphasized
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Secondary feature
  • Analytics / BI / Decision Intelligence Primary focus
  • Enterprise App / Internal Tool Builder Not emphasized
  • Vertical-Specific AI Primary focus