Efficiency at scale:
industrial-grade speech-to-text
High-velocity streaming and batch transcription tuned for complex acoustic environments and built on sovereign, compressed models.
The bottleneck: high-volume voice processing & API dependencies
Scaling high-volume audio transcription through traditional cloud APIs quickly hits a financial wall. Simultaneously, routing sensitive corporate data and legal recordings through third-party networks creates severe compliance risks. Organizations need a high-performance speech-to-text engine that ensures absolute data containment.
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7.48% WER (French): demonstrating competitive precision on standard benchmarks like CommonVoice 24.
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70x Real-time velocity: engineered for high-velocity workflows, processing massive audio files or live streams at unprecedented throughput speeds.
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Optimized structural TCO: radical parameter reduction under 1 billion parameters to minimize required compute power.
Q&A
AlphaAudio is specifically optimized for high-volume enterprise audio pipelines where layout clarity and data isolation are mandatory. It excels in structuring multi-speaker corporate boardrooms, automating customer service call logs, transcribing field audio in noisy industrial settings, and handling specialized medical or legal dictation. Thanks to its native speaker diarization layer, the system reliably differentiates individual participants to output a clean, structured conversational flow.
Our ongoing research focuses heavily on reducing computational redundancy. By restricting our core architecture to a sub-1B parameter blueprint, the model requires significantly less compute power than generalized models. AlphaAudio can be deployed On-Premise on standard corporate hardware or hosted via high-security French partner clouds. This flexibility allows your IT department to eliminate recurring, unpredictable per-hour cloud taxes, creating a stable, cost-effective infrastructure.
Yes. With an inference throughput engineered to process audio up to 70x faster than real-time, AlphaAudio is perfectly suited for live closed-circuit monitoring, instant dictation, and immediate post-processing summaries. Because acoustic quality and regional accents vary heavily across industries, we believe in empirical proof. We invite your technical team to explore our API Documentation, join our developer community on Discord, or reach out through our Contact Page to coordinate a tailored benchmark or a structured Proof of Concept (PoC) on a subset of your enterprise audio data.
Take full control of your AI strategy
Connect with our deeptech engineers to discuss deploying our specialized speech models within your secure enterprise environment.