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Scientists spent hours manually digging through scattered files and outdated systems to find past experiments.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.”
Almirall's Research document search is part of this use case:
Pharmaceutical developer of medical dermatology and skin health treatments.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Drug developers lost days hunting for research across scattered PDFs. Now, they query an AI agent for instant answers, accelerating R&D.
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.
Drug developers lost days hunting for research across scattered PDFs. Now, they query an AI agent for instant answers, accelerating R&D.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Agents manually priced 100-item email requests. AI now extracts data and drafts quotes, leaving humans to validate rather than type.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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Scientists spent hours manually digging through scattered files and outdated systems to find past experiments.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.”
Almirall's Research document search is part of this use case:
Pharmaceutical developer of medical dermatology and skin health treatments.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Drug developers lost days hunting for research across scattered PDFs. Now, they query an AI agent for instant answers, accelerating R&D.
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.
Drug developers lost days hunting for research across scattered PDFs. Now, they query an AI agent for instant answers, accelerating R&D.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Agents manually priced 100-item email requests. AI now extracts data and drafts quotes, leaving humans to validate rather than type.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.