With numbers to prove it.
Explore all industriesManual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
Physicians prioritized typing over treatment. Ambient AI now drafts notes from audio, so they simply review and sign off.
Legacy NLP buried doctors in noise. AI now standardizes messy charts into audit-ready risk predictions, cutting false positives by 50%.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Clinicians struggled to stitch together charts. Claude now delivers instant, cited summaries, cutting latency by 61%.
Fragmented data made manual review impossible. Now, AI scans clinical notes to surface at-risk patients for life-saving intervention.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Legacy units required repeated wake words. Now, robots read lip movements to sustain natural conversations without constant prompts.
Building speech tools threatened product focus. Integrating models handled the backend, freeing engineers to build clinical workflows.
Legal reviews delayed data sharing for months. Isolated compute enclaves cut approvals to days, slashing analysis timelines by 91%.
Nurses relied on paper schedules to manage hundreds. AI tools now optimize flow and discharge, saving 50,000 unnecessary inpatient days.