A drug discovery bench that never leaves your network
A curated catalog of GPU-accelerated biology models, deployable to whichever compute you own from the same console you use for the rest of your AI - plus an assistant that chains them into workflows and shows its reasoning.
A curated catalog of biology models, deployable from one console
Each one is GPU-accelerated and runs on hardware you control. XAIOps handles placement, lifecycle, and result capture, so a computational biologist never has to negotiate with the scheduler.
Structure prediction
Predict how a protein folds from its sequence
Complex prediction
Model how proteins and partners fit together
Molecular docking
Pose candidate molecules against a target
Molecule generation
Generate and refine candidate chemistry
Protein design
Design new backbones and the sequences for them
Genomics
Model DNA at genome scale
Chained, not just cataloged
The biology assistant proposes a plan, explains the parameters it chose, cites the reference material behind them, and refuses tools it has not been granted. You approve the run; it executes on your GPUs.
Virtual screening
Generate candidates, pose them against your target, and rank what is actually worth putting on a bench.
Structure from sequence
Go from a raw sequence to a predicted structure, stored alongside the rest of your research data.
De novo protein design
Draft a novel backbone, design a sequence that folds into it, and check the result before committing.
Built for the way research actually runs
Structure prediction, molecular docking, molecule generation, protein design, and genomics each get a dedicated workspace, with job history and results stored alongside the rest of your platform data.
- Deployed to whichever compute you own, with lifecycle controls for status and teardown
- Job history and results stored alongside the rest of your experiments, not in a separate silo
- The assistant proposes a plan, cites its reference material, and refuses tools it has not been given
Workspaces
Genomics
Genome-scale modeling with a browser over your indexed data.
Structure prediction
Sequence to predicted structure, with the alignment step handled for you.
Molecular docking
Pose candidates against a target and take the complexes away.
Molecule generation
Design and optimize candidate chemistry inside your network.
Protein design
Draft novel backbones and design sequences that fold into them.
Bring us a target
We will run a virtual screening or structure prediction workflow live, on the hardware profile you have available, and talk through GPU sizing honestly.