Affectiva provides an Emotion AI platform that uses deep‑learning computer vision and audio models to extract facial expressions, gaze, and vocal affect signals in real time. Delivered through on‑device SDKs and cloud APIs, it enables marketers, media analysts, and automotive OEMs to obtain quantitative emotion, engagement, and attention metrics at scale while complying with GDPR and HIPAA privacy standards.
Funding
$26M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AFounders
Product
Problem
Traditional methods for measuring human affect—such as self‑report surveys or manual video coding—are time‑consuming, costly, and do not scale to large, real‑world audiences. This limits marketers, content creators, and automotive OEMs from obtaining objective, quantitative insights into viewer or driver emotional states.
Solution
Affectiva delivers an Emotion AI platform that extracts affective signals from facial expressions and vocal inflections using deep‑learning‑based computer vision and audio models. The technology is offered via on‑device SDKs and cloud‑hosted APIs, enabling real‑time emotion detection, engagement scoring, and attention tracking across media analytics, ad testing, entertainment content evaluation, and in‑cabin driver monitoring. Its models are trained on a proprietary dataset of over 17 million face videos and 8 billion facial frames, ensuring robustness across demographics and lighting conditions. Results—including valence, arousal, basic emotions, and gaze metrics—are delivered in standardized JSON payloads that can be streamed to dashboards or integrated into existing analytics pipelines. The platform includes built‑in privacy safeguards such as anonymization, end‑to‑end encryption, and compliance with GDPR and HIPAA standards. By automating affect measurement, Affectiva enables rapid iteration, data‑driven optimization, and scalable deployment without the need for specialized operators.
Target Audience
Primary customers are marketers and advertisers seeking consumer affect data, entertainment studios testing audience reactions, and automotive OEMs or Tier‑1 suppliers building driver‑monitoring and in‑cabin experience solutions.
Features
- Real‑time facial expression analysis with 30 fps inference on edge devices (iOS, Android, Unity)
- Vocal affect detection that extracts emotion, stress, and engagement from speech audio streams
- Calibration‑free eye‑tracking for precise attention and gaze metrics in driver‑monitoring scenarios
- Access to the world’s largest emotion database (17.4 M videos, 8 B facial frames) for model fine‑tuning
- RESTful cloud API and batch processing pipelines for large‑scale media analytics workloads
- SDKs with pre‑built pipelines for ad testing, entertainment content evaluation, and in‑cabin sensing
- GDPR‑ and HIPAA‑compliant data handling with end‑to‑end encryption and role‑based access controls
- Integrated analytics dashboard offering heat‑maps, time‑series emotion curves, and automated reporting