AI Meets Discovery.
From Molecules to Materials.
ODE SCIENCE is a GPU-accelerated research platform for molecular modeling, protein visualization, medical imaging AI, and crystal structure prediction — running entirely on your sovereign hardware. No cloud. No limits.
5
Research Domains
36+
Curated Datasets
16GB
GPU VRAM — T4
$0
Compute Cost / Hour
Five disciplines. One platform.
Select a domain to explore the toolchain, datasets, and typical research workflows. Every pipeline is pre-validated on dedicated hardware.
atom3d: Atoms-to-Structures
Load molecular datasets (QM9, SMP, PIP, LBA, LEP) and run 3D structure prediction, binding affinity analysis, and protein-ligand interaction modeling — all GPU-accelerated on your local hardware.
Toolchain
Research-grade tools. Zero institutional friction.
No Cloud Dependency
Every computation runs on your dedicated GPU GPU. No AWS SageMaker. No Google Colab timeouts. No data upload to external servers. Your research stays inside your perimeter.
Multi-Domain Coverage
Molecular biology, protein science, medical imaging, crystallography, materials science — one platform, five domains. Each with curated datasets and pre-tested pipelines.
Research-Grade Datasets
atom3d (18 datasets), MedMNIST v3 (18 datasets), crystallography benchmarks, QM9 quantum chemistry. All pre-loaded and indexed. No Kaggle downloads or API keys required.
Interactive 3D Visualization
Molecular structures render in browser via WebGL. Protein domain coloring, electron density maps, lattice overlays — interactive and exportable to PDB, CIF, or SDF formats.
AI-Assisted Analysis
ODE SCIENCE pairs computational results with LLM interpretation — explain binding energy scores, suggest follow-up experiments, flag anomalous crystal structures. Research augmented, not replaced.
Publication-Ready Export
Generate ACS-formatted figures, embed interactive 3D viewers in HTML reports, export results to CSV/JSON for downstream tools. From computation to manuscript in one workflow.
Where discovery happens.
Drug Discovery
Protein-ligand docking, binding affinity prediction, ADMET property estimation. Accelerate early-stage hit identification without wet-lab dependency.
Materials Science
Crystal structure prediction, phonon analysis, elastic property calculation. Architector generates valid 3D geometries for novel metal-organic frameworks in seconds.
Medical AI Research
Train and benchmark diagnostic classifiers on standardized medical imaging data. MedMNIST provides 18 clinical imaging tasks without IRB or data access complexity.
Computational Chemistry
QM9 molecular property prediction, energy minimization, reaction pathway modeling. From SMILES to 3D geometry to property prediction — fully automated.
Results that publish.
“I ran a full protein-ligand docking analysis in 22 minutes — locally. The same pipeline took 6 hours on a university cluster and required three months to get queue access.”
PhD Candidate, Computational Biology
“MedMNIST benchmarking that would cost $400 on SageMaker ran in 18 minutes on the T4. The pre-built notebooks saved me a week of environment setup.”
Postdoctoral Researcher, Medical Imaging AI
“Architector generated 200 candidate crystal structures for our catalyst search in under an hour. We found three viable candidates before our wet-lab colleagues had finished ordering reagents.”
Research Scientist, Battery Materials Lab
Tesla T4 GPU.
Yours. Always.
The dedicated GPU delivers 65 TFLOPS of FP16 performance and 130 TOPS of INT8 throughput — more than enough for molecular dynamics, deep learning training, and 3D structure visualization at research scale. At $0/hour. No queue. No timeout.
Request a Demo16 GB
VRAM
65 TFLOPS
FP16 Performance
130 TOPS
INT8 Inference
70W
Passive TDP
CUDA 12
Compute Platform
$0/hr
Your Cost
Science shouldn't wait
for a compute budget.
ODE SCIENCE puts a full research stack on your sovereign hardware. No cloud account. No ethics review for data access. No $400 GPU bills. Just discovery.
Sovereign hardware · 5 research domains · Tesla T4 GPU · $0/hour compute