Manual estimates risked $300k units not fitting. Teams now simulate layouts in a digital twin, verifying fit before physical install.
A biotechnology company aiming to map disease pathway signatures for all known diseases to accelerate drug discovery timelines from years to months.
Integrating lab automation units costing up to $300k requires precise spatial planning, but traditional manual estimation often led to layout errors...
“The digital twin allowed us to plan our lab expansion with confidence. In the past, we would have had to imagine how instruments might fit into the space, leaving little margin for error. Now, we can simulate and test different configurations before making changes, which helps us avoid costly mistakes.”
AI-driven drug discovery using transcriptomic atlases to predict biological responses.
Developed a digital twin solution for Transcripta Bio to virtually design and validate lab layouts.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Transcripta Bio's Laboratory design simulation is part of this use case:
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Manual estimates risked $300k units not fitting. Teams now simulate layouts in a digital twin, verifying fit before physical install.
A biotechnology company aiming to map disease pathway signatures for all known diseases to accelerate drug discovery timelines from years to months.
Integrating lab automation units costing up to $300k requires precise spatial planning, but traditional manual estimation often led to layout errors...
“The digital twin allowed us to plan our lab expansion with confidence. In the past, we would have had to imagine how instruments might fit into the space, leaving little margin for error. Now, we can simulate and test different configurations before making changes, which helps us avoid costly mistakes.”
AI-driven drug discovery using transcriptomic atlases to predict biological responses.
Developed a digital twin solution for Transcripta Bio to virtually design and validate lab layouts.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Transcripta Bio's Laboratory design simulation is part of this use case:
Related implementations across industries and use cases
Physics simulations took weeks to screen libraries. Boltz-2 runs 1,000x faster, cutting this to hours with 2x precision.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Mapping interactions took years. A custom AI pipeline analyzed 1.7M predictions in 3 months, finding 40,000 high-confidence pairs.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.