Autoset

Market position

Early-stage vertical AI vendor focused specifically on skilled nursing facility documentation rather than general ambient clinical scribing. Sources reviewed do not contain market share, customer counts, or competitive benchmarking data.

Stated differentiators are proprietary speech models tuned to SNF jargon and robust to accents and noise, direct write-back of documentation into major SNF platforms and EHRs, and SNF-specific compliance features such as PDPM validation, MDS accuracy checks, QA/QAPI monitoring with F-tag risk flagging, and audit trail visibility.

Technology

Voice AI and agentic workflow automation. The company states it uses proprietary models tuned for SNF terminology and workflows and designed to handle varied accents and noisy environments. Agents integrate with SNF platforms and EHRs to place charting into the appropriate sections. Security measures described in the terms include a written information security program aligned to HIPAA and HITECH, AES-256 encryption at rest, TLS 1.2 or higher in transit, per-customer data isolation, and immutable audit logging of access, sync, generation and edit events. The company states it does not sell customer data and does not use PHI to train, fine-tune or improve generalized AI models.

Go-to-market

Direct self-serve and sales-assisted motion via the website, which presents "Get started" and "Contact sales" actions. Integration with existing SNF platforms and EHRs is a stated part of the offering; PointClickCare is named in the terms of use as an intended third-party beneficiary of the third-party EHR provisions, indicating an EHR integration relationship.

Skilled nursing facilities and nursing homes, with users including CNAs, directors of nursing (DONs), MDS coordinators and therapy teams.

Geography

Product and compliance framing target the United States market (CMS penalties, MDS 3.0, PDPM, F-tags, HIPAA/HITECH, ICD-10/CPT coding). The terms of use specify New York governing law and JAMS arbitration, and the contracting entity is Qanavi Inc.

History

The legal contracting entity behind the product is Qanavi Inc., which does business as Autoset. Public sources reviewed contain no further corporate history.

Risks & controversies

The company's own terms disclose that AI-generated output may contain errors or omissions and require licensed clinician review before output is used in a patient record or for billing, placing clinical accuracy responsibility on the customer. The platform depends on third-party EHR APIs; the terms state Autoset is not liable for feature degradation caused by a third-party EHR modifying, deprecating or revoking APIs or data access. Handling of PHI creates HIPAA/HITECH exposure, addressed through a separate Business Associate Agreement, breach notification within ten days of discovery, and subcontractor BAAs. Liability is disclaimed and capped at fees paid in the preceding three months, and disputes are subject to binding arbitration with class-action and jury-trial waivers.