Speechmatics and Sully.ai announced a strategic partnership to power the next generation of autonomous healthcare agents and scribes. Built on NVIDIA AI infrastructure, the collaboration combines best in class medical-grade speech models with autonomous agent workflows to deliver AI receptionists and clinical scribes that handle real operational tasks and deliver tangible ROI across clinical settings.
The partnership arrives as global healthcare faces acute staffing shortages and mounting administrative costs. Sully, which scaled from single-doctor clinics to enterprise customers with 500+ providers in under a year, is already driving significant efficiency back into healthcare. Their north star metric of Minutes Added to Workforce (MAW) measures how agentic AI drives efficiency within healthcare use cases. As of December 2025, Sully has added more than 30 million minutes back to the healthcare workforce and current customers include Oshi Health, Tebra and Midi.
21x ROI: Autonomous agents delivering measurable workforce impact, soon to benefit more patients around the globe
Sully’s partners are seeing 21x ROI in early case studies with autonomous operating systems capitalising on a suite of multiple agents working in coordination. Typical ROIs include: 5%+ increase in patient retention, 2.4+ hours time saving per physician per day and 18.5% increase in capacity for patient appointments. Building upon these early positive signals, Sully is seeing rapid expansion across large, multi-site provider networks, hence the requirement for Speechmatics – highly accurate, medical grade speech models that scale across different clinical environments.
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Sully.ai selected Speechmatics after extensive internal testing across multiple speech model providers. Evaluation focused on clinical accuracy, handling ambiguous medical pronunciations, and real-time performance in noisy environments. Speechmatics’ English Medical Model set benchmark results in 2025, delivering 93% general real-time accuracy (7% WER) and 96% medical keyword recall, with a medical keyword error rate 50% lower than the nearest competitor. These gains reduce corrections, improve downstream documentation quality, and support more reliable automation in patient access and clinical workflows.
“We needed best-in-class speech models that work in real clinical environments: complex medical terminology, fast overlapping dialogue, accents, imperfect audio, not just clean test clips. Speechmatics has been the most responsive provider with solutioning for us, and we’ve seen them handle medications better on our troublesome audio than any competitor.”— Ahmed Omar, Founder and CEO, Sully.ai.
Speechmatics and Sully.ai plan to expand into new global markets including the Middle East following the launch of an English-Arabic bilingual model in early 2026. Bilingual, code-switching conversations are expected to be a defining requirement for voice automation in care delivery and patient access within this region. Speechmatics’ Arabic capabilities are designed to perform across Modern Standard Arabic as well as Egyptian, Gulf, and Levantine dialects, supporting consistent performance across varied speakers and accents.
SOURCE: Businesswire