Platform 01
Compute cluster
On-site HPC with cloud burst capacity for genome assembly, molecular simulation, model training, and batch evaluation.
Technology
The platforms our research runs on
These systems are not consumer products. They are internal tools used daily by researchers to move from raw samples to auditable computational results.
Platform 02
Model registry
Versioned storage for sequence and structure models, linking every result back to training data, parameters, and evaluation records.
Platform 03
Sample-prep robotics
Automated liquid handling for library preparation, reducing repetitive manual work and run-to-run variance.
Platform 04
Data ingestion pipeline
Quality checks and standardizes sequencer and sensor output before it enters shared storage.
Platform 05
Provenance graph
Tracks samples, transformations, analysis runs, and review decisions so teams can audit conclusions.
Platform 06
Field telemetry
Captures pilot-site environmental readings and device status for research teams working outside the lab.
4core platforms
7research disciplines served
3stage labels
1shared provenance model