Research
Advancing the state of conversational voice AI for business. Our research team works on making AI phone agents faster, more natural, and more reliable.
Research areas
Every conversation is a research problem. Here is where we are focused right now.
Building AI that handles the nuances of real business phone conversations including accents, interruptions, background noise, and complex multi-turn dialogues.
Developing low-latency voice models that sound natural and maintain consistent personality across thousands of concurrent conversations.
Training models to dynamically draw from business-specific knowledge bases like menus, services, schedules, and FAQs during live calls.
Expanding language support with auto-detection, code-switching, and dialect awareness to serve diverse caller populations.
Publications
Open papers, benchmarks, and technical write-ups from the OmniGreet Research team.
February 2026
OmniGreet Research Team
We measured end-to-end response latencies across 100K+ production calls and identified the key bottlenecks affecting conversational quality.
Read paperJanuary 2026
OmniGreet Research Team
How targeted fine-tuning on industry-specific call data improves appointment booking accuracy by 34% compared to general-purpose models.
Read paperWe are hiring researchers and engineers who want to push the boundaries of conversational voice AI.