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Sonder Health

Sonder Health provides an AI-powered platform that automates and parallelizes hospital discharge coordination, reducing excess bed days and freeing case managers to focus on patient care. The platform's AI agents handle outreach calls, paperwork generation, and follow-ups across multiple post-acute placement options simultaneously, while a referral intelligence engine improves future placement recommendations with validated data.

Traction –/10
New York, United States · HQ
5500+ followers
  • Healthcare Technology
  • AI Agents
  • Digital Health
  • Artificial Intelligence
  • Software Only
  • Data & Analytics
Updated 14 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Hospitals face significant operational and financial strain from inefficient discharge processes, with patients experiencing delays of days waiting for post-acute placement. The manual, fragmented referral process—involving e-faxes, 20-50 phone calls per patient, and printed facility lists not filtered by insurance—creates bottlenecks that increase length of stay, elevate readmission risk, and compress already-thin hospital margins.

Solution

Sonder Health provides an AI-powered platform that connects every point of care during the transition from hospital to post-acute settings. The platform automates referral coordination through AI agents that handle faxing, follow-ups, and documentation, while a facility finder matches patients to appropriate care based on bed availability, clinical needs, insurance, and personal preferences. Sonder's agents execute multiple disposition paths in parallel, keeping referrals moving even when care needs change. The system generates referral packets, prior authorization forms, and Medicaid documents directly from the patient chart, and agents follow each hospital's specific playbook. Mission Control centralizes discharge workflows, Care Continuum enables post-discharge tracking and provider communication, and Network Analytics helps hospitals build high-performing preferred networks using historical outcome data.

Target Audience

Primary customers are hospitals and health systems seeking to reduce length of stay and improve discharge efficiency, as well as post-acute care facilities looking to increase occupancy and streamline intake workflows.

Features

  • AI-powered facility finder that matches patients to post-acute care based on real-time bed availability, clinical needs, insurance coverage, and personal preferences
  • Outreach agents that handle inbound and outbound communication with every facility, verifying bed availability, insurance, and clinical capabilities without phone holds
  • Automated paperwork generation for referral packets, prior auths, and Medicaid forms directly from the patient chart, with appeal drafting support for denials
  • Disposition planning that keeps multiple care paths in motion simultaneously and redirects immediately when patient needs change
  • Referral intelligence engine that tracks acceptance rates and payer behavior to improve future placement recommendations with validated data
  • Playbook system that codifies a hospital's standard operating procedures so agents follow team-specific processes without retraining
  • Network Analytics dashboard identifying high-performing post-acute partners using historical referral and outcome data
  • Payer integration to streamline prior authorization and appeal processes
This profile is AI-generated and may contain inaccuracies.