Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
A multinational pharmaceutical company producing therapies for chronic diseases like diabetes and obesity.
Employees identified opportunities to apply generative AI to business problems but lacked the technical skills and infrastructure to build secure...
“We want to make it possible for our colleagues to use this technology safely, securely, and in a compliant manner to improve processes to bring more value to our patients. We want our teams to be accustomed to and prepared to use this technology as it starts arriving everywhere.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Validated Novo Nordisk's architectural designs to ensure the platform was secure and scalable.
Cloud computing platform and on-demand infrastructure services.
Novo Nordisk's Internal AI platform is part of this use case:
Related implementations across industries and use cases
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Manually analyzing hundreds of transcripts took 21 days. A GenAI chatbot now surfaces insights in just two.
Manual analysis limited teams to three scenarios. Now, 1,000+ AI agents run 100,000+ real-time simulations to automate decisions.
Fragmented tools held back GenAI. Unifying on one platform let teams build contract and insight prototypes in under 48 hours.
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.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
A multinational pharmaceutical company producing therapies for chronic diseases like diabetes and obesity.
Employees identified opportunities to apply generative AI to business problems but lacked the technical skills and infrastructure to build secure...
“We want to make it possible for our colleagues to use this technology safely, securely, and in a compliant manner to improve processes to bring more value to our patients. We want our teams to be accustomed to and prepared to use this technology as it starts arriving everywhere.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Validated Novo Nordisk's architectural designs to ensure the platform was secure and scalable.
Cloud computing platform and on-demand infrastructure services.
Novo Nordisk's Internal AI platform is part of this use case:
Related implementations across industries and use cases
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Manually analyzing hundreds of transcripts took 21 days. A GenAI chatbot now surfaces insights in just two.
Manual analysis limited teams to three scenarios. Now, 1,000+ AI agents run 100,000+ real-time simulations to automate decisions.
Fragmented tools held back GenAI. Unifying on one platform let teams build contract and insight prototypes in under 48 hours.
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.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.