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Sentient Machines launches Emotional API, making emotional intelligence available to any application
TelAve News/10908204
Emotion analysis, longitudinal emotional profiling, and deepfake voice detection are now unified in a single API — available from a free developer sandbox through to full white‑label enterprise licensing
LONDON - TelAve -- Emotion analysis detects emotions, behaviours and events in calls, chats, emails, voice notes and AI-agent conversations, analysing tone of voice and language together rather than reading words alone. Longitudinal Emotional Profiling builds a personal emotional benchmark for every customer, so organisations can identify the people who have moved away from their own normal rather than from a population average. Voice Authenticity identifies synthetic and cloned voices, examining whether emotional reactions are consistent with genuine human behaviour.
Unlike conversation analytics platforms that require organisations to adopt a new dashboard, the Emotional API is designed to be embedded in systems companies already run — CRM, contact-centre platforms, business intelligence tools, mobile and web applications, and AI agents. It is delivered as a REST API with real-time webhooks, short-lived client tokens for consumer apps, and drop-in tool definitions for large language model agents.
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"Every organisation is sitting on an untapped potential hidden inside the emotional history of its customers, recorded and stored, and almost none of it is used today," said Danica Damljanovic, the Founder and CTO at Sentient Machines. "We've spent years teaching machines to hear what people actually mean. Opening that up as an API means a two-person start-up and a global bank can both build with it — and the person on the phone finally gets the context they need before the call connects."
https://emotional-api.com/press
About Sentient Machines
Sentient Machines builds emotional AI for organisations whose customers talk, type or speak to an AI. The Sentient Emotional API analyses voice and text together to detect emotions, behaviours and events; builds a longitudinal emotional profile for every customer so teams can see who has drifted from their own normal; and identifies synthetic or cloned voices. It is delivered as a REST API with webhooks, client tokens, no-code connectors and tools for AI agents. Available from a free sandbox to enterprise and white-label terms. https://emotional-api.com
Unlike conversation analytics platforms that require organisations to adopt a new dashboard, the Emotional API is designed to be embedded in systems companies already run — CRM, contact-centre platforms, business intelligence tools, mobile and web applications, and AI agents. It is delivered as a REST API with real-time webhooks, short-lived client tokens for consumer apps, and drop-in tool definitions for large language model agents.
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"Every organisation is sitting on an untapped potential hidden inside the emotional history of its customers, recorded and stored, and almost none of it is used today," said Danica Damljanovic, the Founder and CTO at Sentient Machines. "We've spent years teaching machines to hear what people actually mean. Opening that up as an API means a two-person start-up and a global bank can both build with it — and the person on the phone finally gets the context they need before the call connects."
https://emotional-api.com/press
About Sentient Machines
Sentient Machines builds emotional AI for organisations whose customers talk, type or speak to an AI. The Sentient Emotional API analyses voice and text together to detect emotions, behaviours and events; builds a longitudinal emotional profile for every customer so teams can see who has drifted from their own normal; and identifies synthetic or cloned voices. It is delivered as a REST API with webhooks, client tokens, no-code connectors and tools for AI agents. Available from a free sandbox to enterprise and white-label terms. https://emotional-api.com
Source: Sentient Machines
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