Prototyping tools took weeks of planning. Now, clinical teams generate working mockups in minutes during live meetings to test ideas.
A leading Japanese pharmaceutical company sought to modernize workflows across its clinical research, software engineering, and data science departments.
Creating internal tools required weeks of planning and strict approvals, making it impossible for clinical teams to quickly test new ideas....
“ビジネスサイドである臨床部門では、アプリケーション開発ができる人材が限られており、新しいアプリケーション開発に対する心理的なハードルが高かった。従来は 1 つのアプリケーションを開発するだけでも相当な工数がかかり、じっくりと要件をヒアリングして、効果があるものなのかを精査した上で企画書にまとめてから作り始めるというプロセスを踏んでいました。特に外部へ委託する案件では、効果の定量化やマネジメント承認といったハードルがさらに高くなるため、気軽に『作ってみよう』とは言えない状況でした。”
Pharmaceutical company specializing in biotechnology and drug discovery.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Chugai Pharmaceutical's Software development is part of this use case:
Related implementations across industries and use cases
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Medicinal chemists had no way into binding simulations—that was computational chemistry's territory. AI gave them a browser and a button.
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Prototyping tools took weeks of planning. Now, clinical teams generate working mockups in minutes during live meetings to test ideas.
A leading Japanese pharmaceutical company sought to modernize workflows across its clinical research, software engineering, and data science departments.
Creating internal tools required weeks of planning and strict approvals, making it impossible for clinical teams to quickly test new ideas....
“ビジネスサイドである臨床部門では、アプリケーション開発ができる人材が限られており、新しいアプリケーション開発に対する心理的なハードルが高かった。従来は 1 つのアプリケーションを開発するだけでも相当な工数がかかり、じっくりと要件をヒアリングして、効果があるものなのかを精査した上で企画書にまとめてから作り始めるというプロセスを踏んでいました。特に外部へ委託する案件では、効果の定量化やマネジメント承認といったハードルがさらに高くなるため、気軽に『作ってみよう』とは言えない状況でした。”
Pharmaceutical company specializing in biotechnology and drug discovery.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Chugai Pharmaceutical's Software development is part of this use case:
Related implementations across industries and use cases
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Medicinal chemists had no way into binding simulations—that was computational chemistry's territory. AI gave them a browser and a button.
Hand-coding simulation models delayed R&D. Now, an AI partner generates complex code from human rules, freeing experts to focus on theory.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.