Affectiva Emotion AI
Affectiva Emotion AI: Multimodal emotion analysis for media research and automotive applications, priced by quote. Ranked #1 of 14 in Emotion AI Software by our editors (9.2/10); pricing: Pricing on request; best for enterprise teams needing multimodal emotion AI.
At a glance
- Editor score9.2 / 10
- PricingPricing on request
- Best forEnterprise teams needing multimodal emotion AI
- Real-time analysisYes
- Founded2009 · Boston, Massachusetts, United States
- Facts checked24 Sep 2026
Where it wins
- Analyzes facial expressions in real time using optical sensors
- Measures audience responses to video and other content
- SDK integration supports applications and digital experiences
Where it doesn't
- Project pricing requires a quote rather than a standard subscription
- Automotive voice analysis is focused on automotive applications
- Automotive Emotion AI is integrated into Smart Eye's interior-sensing solution
Our verdict on Affectiva Emotion AI
Affectiva Emotion AI measures emotional and cognitive responses from facial expressions and, in automotive applications, voice signals. Its media analytics are aimed at advertisers, entertainment companies and market researchers studying responses to video and other content. The product also supports automotive interior sensing to understand drivers and occupants. Its focus suits mid-market and enterprise teams whose work depends on interpreting these signals, rather than buyers seeking a general-purpose analytics tool.
The breadth of its input modalities is a key distinction: facial-expression analysis can run in real time using optical sensors, while voice analysis is used in automotive applications. Media research and qualitative research workflows can use its analysis of audience responses to video and other content. Research partners can access media analytics, and SDK integration can bring the technology into applications and digital experiences. Affectiva is part of Smart Eye Group; automotive Emotion AI is now integrated into Smart Eye's Automotive Interior Sensing solution.
Deployment is described as cloud and API, with web and API listed as platforms; self-hosted deployment is also supported. According to Smart Eye, prospective Emotion SDK customers should contact sales for project pricing, rather than choosing from a standard subscription plan. GDPR is listed as a compliance standard, and email is a support channel. Affectiva is a fit for teams seeking emotion analysis for media research or automotive sensing and able to scope a project with the vendor. Buyers who need transparent subscription pricing or a tool outside these focused workflows should consider alternatives.
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Affectiva Emotion AI pricing
Affectiva Emotion AI fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Input modalities | face, voice |
| Deployment | Not verified |
| Real-time analysis | Yes |
| Supported languages | Not verified |
| API access | Yes |
| Data retention control | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Pricing on request |
| Website | affectiva.com |
| Facts checked | 24 Sep 2026 |
Alternatives to Affectiva Emotion AI
- NViso Emotion AIOn-device emotion and behavior analysis spanning faces, bodies, gaze, gestures, and objects.8.8
- RealeyesCreative testing pairs facial-response measures with time-based analysis and optional surveys.8.6
- Behavioral Signals APIAudio analysis API for emotion, behavior, interaction metrics, and voice deepfake detection.8.4
See all Affectiva Emotion AI alternatives →
Affectiva Emotion AI vs the competition
- Affectiva Emotion AI vs NViso Emotion AI
- Affectiva Emotion AI vs Realeyes
- Affectiva Emotion AI vs Behavioral Signals API
- Affectiva Emotion AI vs audEERING devAIce
- Affectiva Emotion AI vs EMOS
- Affectiva Emotion AI vs FacialProof Speech Emotion Recognition API
Compare Affectiva Emotion AI with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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