Rich AI platform
Densper is a vertically integrated dental LLM designed to support advanced speech recognition, natural language processing, generative AI, and workflow AI platform automation across dental environments.
Densper - The AI Intelligence Layer for Dentistry
A Dental AI Operating Base Layer for Software, DSOs and Dental Schools
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.
HIPAA-aligned deployment
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.
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.
Densper AI API - 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.
What is Densper™?
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
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
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).
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%.
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.
Training & Methodology
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.
FAQ
Is AIzac's Densper a 'real' LLM or an AI agent or RAG model?
This is where we're different. Densper is a true LLM built from scratch over
6+ years and 80,000+ hours. Learn more about
Densper here
What makes Densper faster, more accurate and more cost effective?
It's simple. Densper is 50B parameters while frontier LLMs are 800B (or
bigger). This is a case of bigger isn't always better. Densper outperforms frontier LLMs since it's
trained in dentistry and doesn't 'hallucinate' and give long, rambling answers that lose context.
Why would we need this if we already use Claude, ChatGPT or Gemini?
Using and uploading your data to any LLM doesn't train models directly.
However, it's unclear if they 'store' your data, anonymize it, sell it or use it for training.
Knowing historically how big-tech and social media companies use personal data, don't assume it's
safe to upload your private data (if you want it to stay private).
It also helps elevate your current automation level and strengthens your ability to communicate in real time with global users.
It also helps elevate your current automation level and strengthens your ability to communicate in real time with global users.
Is Densper SOC-2 and HIPAA-compliant?
Yes. Densper is HIPAA certified and SOC-2 is moving toward finalization,
ensuring our technology is ready for deployment in compliant environments.
How does Densper compare on cost to frontier models like ChatGPT, Claude and
Gemini?
Similar to frontier models, we charge based on token usage and on average,
Densper is 20-40% cheaper than frontier models.