With numbers to prove it.
Explore all industriesAnalyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Fixed servers slowed parallel biomarker discovery. SageMaker now processes hundreds of images in under an hour, doubling team productivity.
Manual 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.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Legacy NLP buried doctors in noise. AI now standardizes messy charts into audit-ready risk predictions, cutting false positives by 50%.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Clinicians struggled to stitch together charts. Claude now delivers instant, cited summaries, cutting latency by 61%.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Fragmented data made manual review impossible. Now, AI scans clinical notes to surface at-risk patients for life-saving intervention.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
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