Listen
better
Reading tension, trust, resistance, empathy, and friction.

We analyze how each conversation unfolds to find concrete opportunities in sales, service, and collections.
Choosing the right words is not enough. How you say them can bring people closer, build trust, or create distance. Discover which signals appear in your own voice with a short trial.
We make visible the emotional layer that shapes every conversation, turning it into capabilities, metrics, and decisions.
See applicationsReading tension, trust, resistance, empathy, and friction.
Diagnostic, metrics, team development, and ongoing support.
Connecting emotion with conversion, retention, and experience.
Technology detects signals. Our method turns them into a system of evolution for agents, supervisors, and leaders.

Analysis of real interactions to identify patterns of tension, trust, resistance, empathy, and friction.

Building KPIs correlated with conversion, recovery, retention, escalation, and experience.

Coaching programs, evolving QA, and behavioral training for agents, supervisors, and leaders.

Monthly follow-up, metric refinement, executive sessions, and sustained change.
We organize acoustic signals to prioritize human review, coaching, and operational improvements without turning a metric into a verdict.
The example combines high trust and persuasion with low commercial activation: the relationship may be on track while still requiring another stimulus to move forward.
Connect vocal patterns with commercial context to review where a conversation gains or loses strength.
Model objective: create connection, build trust, sustain persuasion, and facilitate closing.
The advisor notices distance or irritation but keeps the same pace and approach. The issue is not necessarily the script, but how the interaction is conducted.
The advisor listens, adjusts pace and emphasis, and follows the state of the conversation. That alignment can support closeness, empathy, and trust before proposing the next step.
The index summarizes the example's emotional health and flags effort as the first point to review before scaling other actions.
Observe changes in stress, effort, and trust to review moments of friction and develop service capabilities.
Model objective: facilitate, reassure, build trust, and resolve.
Irritation mixes with stress and the whole interaction is built on that tension. The customer may leave without a solution and feeling that nobody tried to understand them.
The advisor maintains empathetic listening and regulates the conversation. Even without an immediate resolution, they seek to close with closeness, clarity, and a concrete path.
The example contrasts high trust with low commitment: the relationship appears stable, but closing must be verified through explicit actions and agreements.
Review tension, trust, and conversational effort to train clear, respectful, and non-coercive negotiation.
Model objective: reduce friction, maintain trust, facilitate readiness, and establish a verifiable commitment.
The advisor's stress dominates how alternatives are delivered. The customer responds with greater defensive effort, and payment commitment is displaced by tension.
The advisor regulates pressure, presents alternatives clearly, and checks understanding. Trust is sustained without treating an acoustic signal as a conclusion about ability to pay.

More than two decades working with human interactions make it possible to turn observation, training, and measurement into improvements organizations can track.
Historical results reported for specific projects and sectors. Scope, sample, and conditions vary; these figures do not guarantee future results.
Designed for contexts where conversation quality defines value, retention, and trust.
High interaction frequency and strong sensitivity to experience and retention.
Connecting service, recovery, loyalty, and relational risk management.
Sophisticated QA, conversational quality, and differentiation with clients.
Digital experiences that need a precise, measurable human layer.
Relationships where perceived value defines retention and trust.
We combine analysis, strategic design, training, and follow-up to guarantee sustainable results.
Representative sample of interactions and an initial executive report.
Emotional metrics, correlations, dashboards, and usage protocols.
Coaching, evolving QA, training, and first measurable results.
Follow-up, trends, model refinement, and action plans.

Full diagnostic, design, and implementation with knowledge transfer to strengthen internal capabilities.
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Monthly follow-up to drive the model's evolution, support leaders, and speed up strategic decisions.
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Analytics technology, indicators, dashboards, and team development integrated into a single solution.
Discuss this modelEvery project defines purpose, authorization, access, and retention before analysis. Voice Feeling applies technical and contractual controls appropriate to the context.
The organization must inform recorded people and have consent or another valid legal basis, including Colombia's Law 1581 where applicable.
Project audio and reports are protected through organization-scoped access, secure communications, and operational traceability.
The public trial is not saved in the Voice Feeling library. For projects, retention and deletion are agreed according to purpose, contract, and legal duties.
Projects that require it include confidentiality agreements and specific conditions for processing, access, and deletion.
Deletion first restricts access and schedules asynchronous cleanup. We do not promise immediate deletion from every medium or third-party system.
We address the most common operational and data questions before designing a pilot.
A pilot can begin with an authorized sample without changing operations. We then define secure upload, result exchange, or a specific technical integration as needed.
Not to start a pilot. Voice Feeling supports the diagnostic, interpretation, and model design. A permanent integration is scoped with the organization's technical and security owners.
Retention, return, and deletion are agreed before the project. Access is restricted to authorized people, and deletion requests follow a traceable process.
Speech analytics usually focuses on what was said. Voice Feeling adds acoustic signals about how the interaction unfolded and connects them with context, human review, training, and business metrics.
Tell us what kind of conversations you want to understand. We'll design an initial diagnostic for your context.