Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
One of Europe's largest telemedicine providers connects 2.5 million patients across Switzerland and Germany, handling approximately 3,000 remote consultations daily during peak periods.
Development cycles became bottlenecks as the feature backlog grew and regulatory requirements evolved. Engineers faced pressure to accelerate...
“Our development cycles were becoming bottlenecks to healthcare innovation. We needed to deliver faster while ensuring our existing systems remained bulletproof.”
Medgate's Software development is part of this use case:
Telemedicine platform providing 24/7 medical consultations via phone and video.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Integrated Claude Code into Medgate's development workflows and tested it across four teams.
Related implementations across industries and use cases
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Early AI broke code. Using agents, engineers shipped 15 compliant apps, cutting sales cycles from 90 days to 30.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
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.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
One of Europe's largest telemedicine providers connects 2.5 million patients across Switzerland and Germany, handling approximately 3,000 remote consultations daily during peak periods.
Development cycles became bottlenecks as the feature backlog grew and regulatory requirements evolved. Engineers faced pressure to accelerate...
“Our development cycles were becoming bottlenecks to healthcare innovation. We needed to deliver faster while ensuring our existing systems remained bulletproof.”
Medgate's Software development is part of this use case:
Telemedicine platform providing 24/7 medical consultations via phone and video.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Integrated Claude Code into Medgate's development workflows and tested it across four teams.
Related implementations across industries and use cases
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Early AI broke code. Using agents, engineers shipped 15 compliant apps, cutting sales cycles from 90 days to 30.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
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.