See how 56 companies
use AI for scientific discovery

CPU bottlenecks delayed urgent post-surgery biopsies. GPU-accelerated pipelines now empower lab teams to meet strict delivery targets.

Traditional discovery yields 0.1% success. 310 AI used high-memory GPUs to screen 150k candidates in days, reaching 67% success.

Fixed servers slowed parallel biomarker discovery. SageMaker now processes hundreds of images in under an hour, doubling team productivity.

Standard DNA tests miss early Alzheimer’s signals. An AI model now detects these invisible chemical markers with 0.89 accuracy.

Mapping interactions took years. A custom AI pipeline analyzed 1.7M predictions in 3 months, finding 40,000 high-confidence pairs.

Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.