Rigid SQL databases hid critical therapeutic networks. Now, scientists visually explore 643M validated links to find new treatments.
A life sciences digital insights provider curates a Biomedical Knowledge Base containing 643 million validated links between genes, diseases, drugs, and pathways, built from over 25 years of manual PhD-level literature review.
The organization previously delivered this curated content through relational SQL databases, which severely limited researchers. Identifying complex...
“Our customers today face just a deluge of data. Ultimately they are faced with lots of different forms of data, and it’s non-trivial to go from there to answers they can digest and use.”
Bioinformatics software and molecular diagnostics for life sciences and clinical research.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Rigid SQL databases hid critical therapeutic networks. Now, scientists visually explore 643M validated links to find new treatments.
A life sciences digital insights provider curates a Biomedical Knowledge Base containing 643 million validated links between genes, diseases, drugs, and pathways, built from over 25 years of manual PhD-level literature review.
The organization previously delivered this curated content through relational SQL databases, which severely limited researchers. Identifying complex...
“Our customers today face just a deluge of data. Ultimately they are faced with lots of different forms of data, and it’s non-trivial to go from there to answers they can digest and use.”
Bioinformatics software and molecular diagnostics for life sciences and clinical research.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.