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About

Differential Bio is a virtual scale-up platform for bioprocess optimization that makes microbial growth more predictable, scalable, and cost-effective through robotic lab automation and AI-driven insights. Its workflow begins with automated, high-throughput experiments that mimic large-scale stress factors in microliter environments and generate industry-relevant wet-lab data through liquid handling, fermentation, and measurement. Specialized AI models use that data to predict outcomes such as biomass growth, protein expression, cell viability, titer, production rate, yield, and cost. Through the web-based platform, teams can configure optimization goals and parameter ranges, run unlimited in-silico experiments, compare simulated fermentation outcomes, perform multi-objective optimization, and identify process conditions to implement at scale.

About

NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Precision-fermentation process scientists who need to optimize microbial production and reduce uncertainty before industrial scale-up

Audience

Researchers, engineers, and developers who need an open source Python AI framework to build, train, fine-tune, and deploy physics-informed machine learning models for simulation, digital twins, and real-time prediction

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Differential Bio
Germany
www.differential.bio/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo

Alternatives

Alternatives

ESMC

ESMC

Biohub
Alchemite

Alchemite

Intellegens
NeuralWing

NeuralWing

Emmi AI
Evo 2

Evo 2

Arc Institute
FEATool Multiphysics

FEATool Multiphysics

Precise Simulation

Categories

Categories

Integrations

PyTorch
Python

Integrations

PyTorch
Python
Claim Differential Bio and update features and information
Claim Differential Bio and update features and information
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA PhysicsNeMo and update features and information