Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
A global pharmaceutical company with 80 years of medical dermatology experience has accumulated over 50 years of research data across 400,000 documents in three different languages.
Scientists spent hours manually digging through scattered files and outdated systems to find past experiments. This inefficient process buried...
“Making new discoveries is key. A new discovery later becomes a potential treatment for our patients, improving their quality of life and even potentially healing the disease.”
Pharmaceutical developer of medical dermatology and skin health treatments.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Almirall's Research document search is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Manual medical drafting and code translation bottlenecked clinical experts. Now, secure AI generates first drafts for human review.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
A global pharmaceutical company with 80 years of medical dermatology experience has accumulated over 50 years of research data across 400,000 documents in three different languages.
Scientists spent hours manually digging through scattered files and outdated systems to find past experiments. This inefficient process buried...
“Making new discoveries is key. A new discovery later becomes a potential treatment for our patients, improving their quality of life and even potentially healing the disease.”
Pharmaceutical developer of medical dermatology and skin health treatments.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Almirall's Research document search is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Manual medical drafting and code translation bottlenecked clinical experts. Now, secure AI generates first drafts for human review.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.