Add Real-Time Voice
Recognition to Your Product

High-performance, developer-friendly speech-to-text API.
No model training required.
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Densper at a glance

Densper - The Base Layer for Dentistry

A Dental AI Operating Base Layer for Partners

Densper: private & secure dental LLM base layer

Densper is a vertically integrated dental AI platform designed to support advanced speech recognition, natural language processing, generative AI, and workflow automation across dental environments.

Not an API wrapper or automation layer on top of a general-purpose model, Densper combines custom speech-to-text, robust noise-cancellation and private, HIPAA-aligned deployment.

As a Secure Dental Language Model (SDLM), Densper gives software companies, DSOs, universities, and dental technology platforms the opportunity to build AI capabilities on top of a secure, dental-specific model — without relying on generic AI infrastructure that was never designed for clinical dentistry.

Densper AI API

Densper AI APIs - Building Blocks for Voice Intelligence
Densper AI APIs let you instantly add voice intelligence to your systems—enabling automation, faster workflows, and better user experiences.
From transcription to translation, each API is designed for low latency, high accuracy, and seamless integration.
AIzac provides APIs for speech-to-text, voice commands, summarization, and real-time translation—customizable tools to embed voice intelligence into your workflow with minimal effort.

Detects Human Voice and Converts Speech to Text

Convert speech to accurate, real-time text with our fast, multilingual STT API—ideal for voice-driven apps.

Scalable, Real-Time Speech Recognition

Save time and improve accuracy with fast, scalable transcriptions and speaker recognition for real-time and offline use.

Densper AI Makes a Difference

  • Domain-Specific Optimization

    Densper STT model delivers comparable performance in general use, and achieves over 20% higher accuracy in dental terminology.

  • Custom Vocabulary Support

    Custom vocabulary improves recognition accuracy for domain-specific terms and commonly used phrases.

What is Densper™ Voice Engine?

Technical Document (PDF)

AIzac's Voice AI Engine uses groundbreaking technology that combines specialized AI voice recognition for dentistry with advanced solutions. Our AI platform, trained with dental expertise and voice data allows clinicians precise and efficient charting and data management during patient visits, all without the need for additional assistance.

Accuracy

Private Dental AI Infrastructure Built for Clinical Accuracy, Security, and Scale

INBDE 160-question written cognitive examination accuracy: Densper 85.2%

Verified clinical-cognitive accuracy: On the INBDE 160-question written cognitive examination, Densper scored 85.2% — ahead of Gemini, Claude, GPT, and MedGemma.

Efficiency & Cost

Proprietary LLM and AIaaS: Controllable Intelligence at a Rational Cost

While competitors merely act as intermediaries—calling third-party LLM APIs—AIzac owns and operates its own in-house LLM infrastructure, making it a true creator rather than a reseller.

AIaaS cost efficiency:
Because AIzac operates its own infrastructure models, there are no external API usage fees passed on to clients. This creates a sustainable, cost-efficient pricing structure—one of the key enablers of AIzac's long-term market leadership.

As a result, AIzac delivers the ideal balance between speed and performance, ensuring smooth, real-time operation for both translation and clinical charting use cases.

Speech Technology

Industry-leading technology that reconstructs clean speech from noisy input

Speech recognition error rate vs. general ASR and context-biasing error-rate reduction

Densper incorporates a speech recognition engine specifically optimized for the unique acoustic conditions of dental clinics. To achieve stable, accurate performance in this high-noise environment, the system integrates several coordinated stages.

Speech Enhancement (SE) — reconstructing clean speech from noisy input

  • Removes environmental noise, reverberation, and background interference to improve speech quality and intelligibility, enabling high-accuracy recognition.
  • The SE model can be fine-tuned, allowing optimization for specific acoustic environments.
  • A dual-decoder architecture (magnitude and phase) enables high-fidelity speech reconstruction.
  • The service architecture matches the performance of transformer-based models while reducing computational load by approximately 70% (2.26 GFLOPs → 0.76 GFLOPs).
Speech enhancement spectrogram before and after

Noise-Robust Training — modeling dental machine and ambient noise

  • A Phase-Aware Decoding architecture enhances noise robustness while preserving signal fidelity.
  • Complex Linear Layer training learns both magnitude and phase components simultaneously, preserving the full spectral representation compared with magnitude-only approaches.
  • Strengthened temporal coherence enables accurate reconstruction of the attack/decay envelope and improves onset detection accuracy by approximately 5–10%.
Noise-canceling and speaker separation modeling

Voice Activity Detection (VAD) — AI-based detection of speech segments

Conventional VAD tends to misinterpret dental-clinic noise as valid speech, causing recognition errors in real clinical settings. Densper's fine-tuned VAD accurately identifies and suppresses noise specific to dental environments, effectively treating it as silence and preventing misrecognition.

  • Removes unnecessary silent segments, improving recognition accuracy and resource efficiency.
  • Trained on noise patterns commonly observed in clinical environments for robust detection.
  • Supports fine-tuning of the VAD module for environment-specific optimization.
Voice activity detection: speech and non-speech segments
Training & Methodology

Industry-leading technology that reconstructs clean speech from noisy input

AIzac's proprietary STT and LLM were trained on more than 80,000 hours of English speech data.

General data was collected from video and podcasts (~70%), audiobooks (~25%), and additional English audio datasets (~5%, including government-supported initiatives such as AI Hub), along with recorded seminars.

The dental dataset comprises original clinical recordings spanning nine specialty departments.

Additionally, portions of the dental dataset were developed using real-world clinical audio provided by U.S. DSO partners (referenced as C*, A*, W*, and H*), anonymized and used under appropriate data-use agreements.

These contributed to significantly improved domain accuracy, procedure-specific terminology recognition, and real-time charting performance.

Representative dental sources by department

Representative dental training sources by department

Data-use note: All datasets were used under appropriate data-use agreements and in compliance with existing agreements.

FAQ

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    Beyond APIs: Your Enterprise AI Partner

    AIaaS allows your team to access advanced AI functions through cloud APIs, reducing the complexity of building models in-house.
    AIzac customizes these capabilities to fit your product—adapting models, optimizing workflows, and embedding AI where it matters.
    From healthcare to productivity and global platforms, we help deliver intelligent solutions faster.

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