See how 43 companies
use AI for scientific discovery

We monitor how businesses get results with AI, so you don't have to guess what's worth implementing.

Recent case studies from

Harvard Medical School logoH
Harvard Medical SchoolProtein interaction discovery
Novo Nordisk logoN
Novo NordiskClinical trial research
Bristol Myers Squibb logoB
Bristol Myers SquibbClinical trial management
Argonne National Laboratory logoA
Argonne National LaboratoryAstronomical signal detection
Recursion logoR
RecursionDrug discovery
Harvard Medical School logoH
Harvard Medical SchoolProtein interaction discovery
Novo Nordisk logoN
Novo NordiskClinical trial research
Bristol Myers Squibb logoB
Bristol Myers SquibbClinical trial management
Argonne National Laboratory logoA
Argonne National LaboratoryAstronomical signal detection
Recursion logoR
RecursionDrug discovery
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Showing 9 of 43 case studies
myTomorrows logom

myTomorrows

Pharmaceuticals & Biotech|SMB

Clinical trial matching

Matching patients to 10,000 global trials was slow and manual. Now, LLMs cross-reference medical records to find pre-approval therapies.

~90%Time Savings
via aws.amazon.com
Published Mar 18, 2026
Iktos logoI

Iktos

Pharmaceuticals & Biotech|SMB

Drug discovery

Manual synthesis bottlenecked research. Chemists now use conversational AI to configure robots that synthesize and test compounds.

30Chemist Equivalents
via aws.amazon.com
Published Mar 18, 2026
310 AI logo3

310 AI

Pharmaceuticals & Biotech|SMB

Protein design

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

150kCandidates Screened
via amd.com
Published Feb 25, 2026
Prima Mente logoP

Prima Mente

Pharmaceuticals & Biotech|SMB

Early disease detection

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

10xInformation Expansion
via nvidia.com
Published Feb 2, 2026
Harvard Medical School logoH

Harvard Medical School

Pharmaceuticals & Biotech|Enterprise

Protein interaction discovery

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

3 monthsProject Timelinevs years of manual work
via nvidia.com
Published Jan 30, 2026
Tangram Therapeutics logoT

Tangram Therapeutics

Pharmaceuticals & Biotech|SMB
up to

Drug discovery

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

50xAssessment Speed
via aws.amazon.com
Published Jan 25, 2026