Vail Research
Unlock Cutting-Edge AI/ML Research for Enterprise Voice Tech
We investigate and innovate solutions to complex challenges in speaker recognition, liveness detection, and AI—empowering enterprise contact centers to deliver smarter, more secure customer experiences.
Bridging the Language Gap Between Humans, AI, and Enterprises
We're advancing AI research in linguistics and systems to develop scalable solutions that excel in real-world complexity. Our advanced models help businesses enhance CX, improve automation, and bolster defenses against identity fraud.
Explore research breakthroughs advancing natural language understanding, voice biometrics, and transcription accuracy at scale.
Enter the Next Era of ASR and LLMs
Explore research breakthroughs advancing natural language understanding, voice biometrics, and transcription accuracy at scale.
Boost Voice Model Accuracy by 10% with Bespoke ASR
Discover how custom ASR models can improve accuracy by up to 10% and lower licensing costs for your business.
How LLMs Can Create Better Caller Experiences
Gain insight into the foundation of large language models in telecom, and how they're driving innovation in call centers.
Industry Leadership
Addressing AI-Driven Threats to Telecom: Insights from FCC's CSRIC IX Panel
AI/ML can reshape telecommunication networks, but it also introduces complex security risks. To address this, the U.S. FCC chartered a working group under the 9th CSRIC. Co-chaired by Vail's Chief Data Scientist Dr. Vijay K. Gurbani, the group assesses AI/ML's impact on threat surfaces and recommends defenses for the nation's communications networks.
Voice Security
Better Spoof Detection for Synthetic Voices
Voices can be cloned with just 30 seconds of audio, creating challenges for systems and agents to distinguish real from fake. Our advanced model quickly adapts to new voices and changing conditions—even with limited training data—providing businesses with more reliable protection against AI-driven voice fraud.
Our Focus Areas
Vail Research investigates and innovates solutions to complex challenges in speaker recognition, liveness detection, and AI—empowering enterprise contact centers to deliver smarter, more secure customer experiences.
Custom ASR
Custom ASR models designed for your specific domain or application.
Conversational AI
Human-like virtual agents that understand and resolve customer needs.
Insights & Automation
Surface insights, automate workflows, and drive better decision-making.
From Research to Real World
Featured papers that turn lab breakthroughs into practical gains for enterprise voice systems.
LLM Selection: Improving ASR Transcript Quality via Zero-Shot Prompting
ASR systems often struggle to accurately transcribe audio, especially in noisy environments. By leveraging LLMs, we select the optimal ASR output, reducing word error rates and improving transcription quality.
Sparse Autoencoder Insights on Voice Embeddings
Using sparse autoencoders (SAEs), we uncover hidden features in audio data to enhance speech recognition and voice authentication systems, enabling businesses to break down complex data into insights.
A Low Latency Technique for Speaker Detection from a Large Negative List
Traditional systems have difficulty differentiating speakers in group settings. Our new technique increases speed and accuracy of multi-speaker detection—enabling better voice biometrics, diarization, and forensics.
Vail Research FAQs
Questions? Contact the Research Team atresearch@vailsys.com.
Let's Start a Conversation
Talk with our team about how Vail Research advances enterprise voice technology—or explore careers with the people behind the breakthroughs.