Neuroscience has spent years confirming what business practice often ignores: people make decisions predominantly emotionally and rationalize them afterwards. Conventional surveys capture that rationalization, not the original emotion.
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Artificial intelligence specialized in understanding human emotions to improve strategic decisions
We are an artificial intelligence company specialized in understanding human emotions to improve strategic decisions. We help organizations in Latin America and around the world hear what their customers, users and stakeholders really feel—beyond what they say—and turn that emotional understanding into actionable intelligence before investing, launching or deciding.
EmotionMetrics is an artificial intelligence company headquartered in Miami, with regional offices in Buenos Aires and São Paulo.
The difference between conventional research and EmotionMetrics research is not in the type of questions we ask: it is in the layer of reality we can access. While traditional methods capture what people say, our AI agent swarm reads what they feel.
Detects in real time the emotion behind every response: confidence, doubt, genuine enthusiasm, unexpressed resistance. We reach where others cannot because we listen in a way others cannot.
Analyzes facial expressions, vocal tone, body language and verbal content in a coordinated way, crossing signals to detect inconsistencies between what is said and what is felt.
Emotional feedback in hours, not weeks. Integrate emotional evidence in every agile development sprint: what generates attraction, doubt, abandonment and why.
Learn faster. Decide with more precision. Scale further. Our AI-first approach converts your users' emotions into precise data in the time of a sprint, accelerating the organizational learning cycle.
From isolated studies to permanent listening. A continuous intelligence system that monitors perceptions, emotions and expectations of your stakeholders in real time, anticipating changes before they become crises.
What students feel about their institution, their teacher and their learning experience. Emotional intelligence for institutional and classroom management based on real evidence.
Real perception, not declared responses. Large-scale analysis integrating interactive interviews with deep natural language analysis, voice tone and emotional patterns.
Knowing what's being said about you isn't the same as knowing what people feel about it. We monitor mentions, coverage and public reaction to your organization's key events in real time, measuring the emotional impact behind the numbers — with early warnings that feed directly into your contingency response.
At EmotionMetrics we operate under an AI-first methodology where artificial intelligence is part of the core of our processes, not an auxiliary tool.
AI is the infrastructure on which all work is built. Real-time analysis with a depth that surpasses any manual methodology.
Multiple specialized agents work in parallel: one conducts the interview, others simultaneously analyze expressions, voice and language. Multidimensional understanding in real time.
We integrate facial expressions, vocal tone, body language and verbal content simultaneously to build a high-fidelity emotional reading.
Co-design → parallel execution → real-time monitoring → decision-oriented executive presentation. Results in hours, not weeks.
Alert thresholds that automatically trigger an executive contingency brief when perception or sentiment toward the organization shifts significantly, so the communications team can act while there's still room to maneuver.
Emotional intelligence applied where it matters most. We have experience working with companies and brands across Latin America and international markets.
EmotionMetrics acts as an emotional intelligence partner across the entire product cycle — from concept to launch. We capture what customers truly feel at every stage, turning emotional evidence into precise, actionable data that drives better decisions.
That same partnership extends to continuous monitoring of brand perception and reputation, using emotional analysis tools that flag early any event that could affect the company's public image — giving the team room to maneuver before the situation escalates.
Citizen perception and the emotional impact of public management, measured with the same rigor as any other government indicator.
In the public sector, decisions affect large populations — and the cost of misreading them is high. EmotionMetrics provides governments, agencies and multilateral organizations with deep intelligence on citizen perceptions and the emotional impact of public policies, enabling communications and services that genuinely connect with the people they serve.
We don't position this as a sole indicator, but as a complement to traditional public management metrics — budget execution, coverage, outcomes — capturing the dimension of citizen experience those metrics can't reach on their own. This includes continuous monitoring of mentions and media coverage, with early detection of reputational risk around sensitive institutional events and communications that could affect the agency's public image.
Technological perspectives for strategic decision-making. Explore our vision on the global AI ecosystem. We analyze structural shifts in technology, emerging agent methodologies, and how environmental variables —from infrastructure to data science— transform strategic decisions.
Neuroscience has spent years confirming what business practice often ignores: people make decisions predominantly emotionally and rationalize them afterwards. Conventional surveys capture that rationalization, not the original emotion.
Read article
What if Agile's real advantage was never speed? Organizations don't win by developing faster, but by learning before their competitors do. Discover how emotional feedback is redefining the speed of organizational learning.
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Two users can do exactly the same thing —the same journey, the same pause, the same click— and be living completely different experiences. If metrics can't tell them apart, how much do we really know about our users' experience? Multimodal emotional analysis is beginning to open a window onto what happens around the click.
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When a student drops out, the data finally becomes unambiguous. But by then we can only reconstruct what happened. The uncomfortable question is a different one: what signals did they give off during the previous weeks or months that our systems failed to recognize? Emotional AI and multimodal analysis make it possible to look for changes that used to be scattered across language, interaction and experience — not to replace educational analytics, but to attempt something harder: detecting early symptoms while there's still time to act.
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Political reputation can deteriorate while every management indicator stays green. Long before it shows up in a survey, the problem leaves signals that rarely appear on public-sector dashboards. Can AI applied to emotional analysis help spot them before it's too late?
Read articleDoes your organization need to better understand what your customers, users or stakeholders feel before making an important decision? Our team in Miami, Buenos Aires and São Paulo is ready to help.