Voicera offers a multimodal AI service that analyzes audio frequencies and facial micro‑expressions in real time to generate a quantifiable Credibility Score for streamed conversations. The API returns a score, risk flag, and inferred intent, enabling platforms such as sales enablement, customer success, hiring, and legal tools to assess truthfulness and intent without building their own video‑audio analysis pipelines.
Funding
Funding not disclosed
Founders
Product
Problem
Digital interactions increasingly lack trust because existing platforms focus on text and transcripts while ignoring tone, emotion, and non‑verbal cues that convey true intent.
Solution
Voicera provides a multimodal AI service that analyzes both audio frequencies and facial micro‑expressions to generate a quantifiable Credibility Score for any streamed conversation. The system processes speech characteristics (400 Hz–2 kHz) and facial action coding system (FACS) data, fuses the signals, and returns a score, risk flag, and inferred intent via a simple API call. This “truth layer” can be integrated into sales training tools, forecasting models, churn‑risk detection, hiring assessments, or legal review platforms, delivering unbiased, real‑time feedback without requiring developers to build their own video‑audio analysis pipelines.
Target Audience
Primary customers are SaaS platforms and enterprise applications that rely on video or audio interactions, such as sales enablement tools, customer success analytics, hiring assessment systems, and legal or compliance software.
Features
- Audio analysis covering key speech frequency bands (400 Hz–2 kHz) to assess tone and stress patterns
- Real‑time facial micro‑expression detection using FACS for emotion and intent inference
- Fusion engine that combines auditory and visual cues into a single Credibility Score
- API endpoint returning score, risk flag, and intent classification in JSON format
- Scalable, developer‑first deployment that runs in the background and integrates with existing platforms
- Topic‑aligned scoring that can be queried against specific script segments or conversation points