BULORΛ Voice

AI Voice Audit compliant with the EU AI Act – Transparency, Quality & Audio Risk Analysis

Contact us

BULORΛ Voice is the dedicated module of the BULORΛ.ai suite designed for evaluating voice-based AI systems:
transcription, segmentation, audio understanding, coherence of spoken answers, transparency, hallucination detection, and regulatory compliance.

This module allows you to assess voice models (OpenAI, GPT-Voice, Whisper, Gemini Voice, Mistral, internal engines…) according to the requirements of the European Artificial Intelligence Act (AI Act).

‍

Use Cases

  • Analysis of a voice assistant (customer service, banking, public administration).
  • Audit of a voice-to-voice LLM (spoken answers, coherence, tone, safety).
  • Quality control of automatic transcriptions to detect errors and bias.
  • Verification of a voice engine’s stability when exposed to voice variations.
  • QA testing for internal AI products (voice chatbots, call centers).
  • AI Act compliance for high-risk voice-based systems.

‍

Key Features

1. Audio Upload (WAV, MP3, M4A, OGG…)

Up to 200 MB, compatible with automatic API mode or hybrid API mode (manual transcription).

2. Automatic Transcription + Segmentation

  • Silence cleaning
  • Intelligent segmentation
  • Detection of ambiguous or sensitive segments

3. Multi-platform AI Analysis

Choose your AI engine:

  • OpenAI GPT Voice
  • GPT-5 (Thinking)
  • Claude 3.7 Sonnet Voice
  • Google Gemini Voice
  • xAI Grok Voice
  • Custom API (internal voice engine)

4. Automated Scoring

  • Transcription score (accuracy, information loss)
  • Voice quality score (coherence, clarity, tone)
  • AI Act compliance score
  • Detection of vocal anomalies (hallucinations, noise, inconsistencies)

5. Professional Exports

  • Full JSON
  • CSV (transcription + scoring)
  • Premium PDF signed BULORΛ (client-ready)
  • ZIP containing results + analysis logs

‍

Integrated AI Act Compliance

BULORΛ Voice automatically applies the audio-related requirements of Chapter III:

  • Transparency (Articles 13 and 14)
  • Risk management
  • Error and bias detection
  • Explainability of vocal output
  • Test logging

A regulatory report is generated for your compliance teams (GRC / Compliance / Internal Audit).

‍

Who is it for?

Organizations

  • Banks
  • Insurance companies
  • Public sector
  • Contact centers
  • Voice-tech vendors
  • Consulting firms
  • Legal & compliance departments

Roles

  • AI Manager / CIO
  • Head of Compliance / Risk Officer
  • Lead Data Scientist
  • Voice Product Owner
  • QA & Security teams

‍

Why BULORΛ Voice?

  • Multi-model AI analysis (OpenAI / Claude / Gemini / Grok / Custom)
  • Multi-tenant architecture (tokens, quotas, history)
  • AI Act-ready audit reports
  • Full transparency at every step
  • Integrated with the BULORΛ ecosystem (Reasoning, Sources, Robustness…)

‍

Example of a Full Workflow

  1. Audio upload
  2. Transcription + segmentation
  3. AI analysis (automatic or hybrid)
  4. Scoring + qualitative review
  5. JSON/CSV/PDF export
  6. Archiving in the test history

‍

‍

‍