Bussiness Ideas

Moodemetric is a SaaS platform that detects and interprets human emotion from speech by combining acoustic CNN‑based sentiment analysis, NLP, and LLM‑driven contextual reasoning, and exposes results via secure APIs and SDKs for third‑party integration. The product targets enterprises that need real‑time emotional insights from voice channels—contact centers, telehealth, coaching, and market research—while keeping data residency and privacy controls in the cloud. In short What it is A PaaS service that detects emotion from voice calls and returns clear, actionable insights via APIs and SDKs. Why it matters Helps teams improve customer experience, coach agents, and spot risk by turning spoken interactions into emotion labels, confidence scores, and short summaries. More serious this helps clinicians and care teams monitor mood, detect deterioration early, and support therapy by turning spoken interactions into emotion scores, trend reports, and short summaries. Core features Real‑time streaming emotion detection and confidence. Batch analytics for trends and reports. Explainable outputs: short, human‑readable summaries. Easy integration: REST APIs and lightweight SDKs. Privacy controls: consent, deletion, and encryption. Close to real‑time streaming emotion detection for telehealth and calls. Input for clinical dashboards with longitudinal mood trends and alerts. Session summaries and explainable outputs to support clinical notes. EHR integration and consent controls for secure patient workflows. Batch analytics for population health and research. Primary Customers Contact centers, telehealth providers, coaching platforms, market research firms. Mental health clinics, telepsychiatry platforms, remote patient monitoring services, clinical research teams. Business model MoodMetric will charge based on processing units similar to tokens: Per‑second voice processing → converted into “emotion tokens” Each token represents audio frames + emotional inference + scoring + text analysis Monthly subscription fee (with number of tokens guarantee) One‑line tech Acoustic CNN + ASR + text models, with cloud LLMs for summaries and explanations.

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Startup Teams

• 1 Abhinav Abhishek (Director)
• 2 Sanjiva Kumar (Director)

Incubation Details

Not Incubated