Features

  • Measures emotional and cognitive states from video
  • Multimodal analysis of facial expressions, voice, posture and optional heart rate variability
  • Quantifies valence, arousal, cognitive load, focus and engagement
  • Works with webcams, security cameras or specialized hardware
  • Processes via cloud APIs or local edge devices
  • Second-by-second audience engagement graphs
  • Real-time alerts for driver fatigue or high stress
  • APIs and SDKs for embedding in existing apps
  • Use cases in market research, automotive, e-learning and digital health

Pricing Details

💰 Pricing Model Item Details: Enterprise B2B software-as-a-service (SaaS) and private cloud licensing model. Pricing is custom-tailored based on implementation style, recording volume, data metrics required, and deployment scale (API vs. Local Edge SDKs). General Concept: Because affective computing demands strict compliance, high technical accuracy, and customized hardware setups, there are no instant click-and-buy public consumer tiers. Access requires a direct corporate consultation. 🆓 Free Plan Details Feature: Guided Technical Consultation & Sandbox Proof-of-Concept. Details: Corporate innovation leads, researchers, and product developers can schedule a live platform demonstration to view real-time emotion analytics tracking, explore the dashboard features, and discuss custom pilot parameters. Cost: Free ($0 to request a strategic evaluation and technical pilot outline). 💳 Paid Plans (Official 2026 Standards) Architecture Track Price Structure Focus, Processing Models & Core Deliverables 🏢 Enterprise Behavioral Platform Custom Commercial Contract(Annual/Multi-Year Agreements) Custom-configured to the client's infrastructure needs. Unlocks complete Multimodal Emotion AI engine access, live web/edge SDK integrations, continuous API data streams, dedicated security compliance layers, and comprehensive data visualization dashboards.