Centrillion's wafer-scale DNA chip platform can support programs across healthcare, diagnostics, precision medicine, pathogen surveillance, predictive genomics, oncology, pharmaceutical development, agriculture, microbiome research, genomics, spatial biology, and more. Each program combines molecular content, assay design, readout, and a data workflow built around the biological question.
Areas enabled
One molecular platform. Many places to apply it.
Applications extend across healthcare, agriculture, genomics, spatial biology, diagnostics, surveillance, and related research.
The animated query shows a model reading DNA context. The curves represent example model signals—pathogenicity, evolutionary conservation, regulatory activity, and variant effect—not application categories.
Query position0
Self attention—
From DNA context to model evidence.Potential application areas are described below. The plotted tracks represent model outputs, not healthcare, agriculture, or other markets.
Healthcare, diagnostics, precision medicine and pathogen surveillance
Measure many biological signals in parallel.
Programmable probe content can support focused diagnostic research, population-health programs, pathogen detection, resistance monitoring, variant surveillance, and assays designed around a patient's or cohort's molecular profile.
Compact formats can bring high-density measurement into workflows where throughput, cost, and rapid reconfiguration matter.
Many targets, one structured readout. Conceptual visualization; assay content and intended use are program specific.
Oncology, spatial biology and pharmaceutical development
Keep molecular signals connected to tissue context.
Spatially addressed measurements can connect genes and other molecular signals to tissue structure, cellular neighborhoods, and disease microenvironments.
That context can support oncology research, biomarker discovery, target validation, translational studies, and pharmaceutical development workflows.
Recover molecular organization in place. Procedural anatomy illustrates the workflow and is not experimental or clinical data.
Predictive genomics, agriculture and microbiome
Turn dense molecular measurements into structured data.
Known probe content at known locations creates structured measurements that can support statistical analysis and predictive models.
The same platform logic can be adapted to human population studies, crop and livestock genomics, breeding programs, agricultural pathogens, microbial communities, microbiome research, and other complex biological systems.
Array to structured measurements to model. A conceptual data path for analysis and prediction; performance depends on the assay, study, and model.
Genomics, sequencing and long-range context
Preserve order before fragmenting long DNA.
A genome carries meaning in its long-range structure. Recording position before cutting can help neighboring reads return to their original molecular neighborhood.
This early research direction explores how spatial addresses can preserve more sequence context for genome analysis and predictive genomics.
Order recorded before cutting. Conceptual animation of the research approach. Detailed methods and results will follow publication.
And more
Bring the next application area.
Healthcare, agriculture, oncology, microbiome, and genomics are examples—not limits. Centrillion can help shape the probe content, chip format, assay workflow, and data path around a new biological question.
