Planning one product took four experts a month. Automated AI pipelines now let non-experts complete the work in a single day.
A global molecular diagnostics provider creates proprietary syndromic tests capable of detecting 14 pathogens in a single tube, generating 90% of its revenue internationally.
Manual analysis required four experts working for a full month to plan a single diagnostic product. On-premises infrastructure faced physical...
“Azure AI drives automation of Seegene’s core research, enabling global experts—even without PCR experience—to contribute based on their expertise. Azure HPC also accelerates genome analysis, supporting simultaneous global collaboration.”
Medical diagnostic laboratory specializing in molecular and clinical testing.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Seegene Medical Foundation's Genomic research is part of this use case:
Related implementations across industries and use cases
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Researchers spent months scouring medical literature. GenAI now mines insights in minutes, accelerating cancer test development.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Researchers spent months scouring medical literature. GenAI now mines insights in minutes, accelerating cancer test development.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
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.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
Planning one product took four experts a month. Automated AI pipelines now let non-experts complete the work in a single day.
A global molecular diagnostics provider creates proprietary syndromic tests capable of detecting 14 pathogens in a single tube, generating 90% of its revenue internationally.
Manual analysis required four experts working for a full month to plan a single diagnostic product. On-premises infrastructure faced physical...
“Azure AI drives automation of Seegene’s core research, enabling global experts—even without PCR experience—to contribute based on their expertise. Azure HPC also accelerates genome analysis, supporting simultaneous global collaboration.”
Medical diagnostic laboratory specializing in molecular and clinical testing.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Seegene Medical Foundation's Genomic research is part of this use case:
Related implementations across industries and use cases
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Researchers spent months scouring medical literature. GenAI now mines insights in minutes, accelerating cancer test development.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Researchers spent months scouring medical literature. GenAI now mines insights in minutes, accelerating cancer test development.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
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.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.