our technology

Cellular resolution rebuilt for clinical complexity

Sampling Human cellular-resolution sequencing is built from the ground up for clinical samples. Our platform handles variable inputs and application-specific biology to generate standardized, structured data at production scale.
Stable sample collection
Proprietary encoding chemistry
Scalable barcode architecture
Ultra-high-throughput sequencing
AI decoding into structured data
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Production Layer

Integrated end-to-end for operational performance

Our workflows run inside automated molecular lab infrastructure, integrating optimized sample collection, proprietary encoding chemistry, decoding models, and quality control to make cellular-resolution data possible with the consistency required for products, models, and clinical deployment.

Build on production systems from Sampling Human.

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measurement layer

Encoding

Sampling Human’s encoding enables programmable measurement of relevant biology. By building intelligence into the barcoding chemistry, we achieve a step change in specificity and sensitivity with scalable barcode capacity.

01

Start from complex samples

We design for clinical samples to preserve molecular signal and limit noise introduced by storage, handling, and processing.

02

Singulate target biology

We use selective singulation to focus sequencing capacity on the cells and signals relevant to each application.

03

Encode into barcode space

We use proprietary multidimensional encoding to overcome current barcoding limits and scale the capacity to each sample.

Computational layer

Decoding

Sampling Human’s decoding models convert sequencing reads into structured cellular data. Our encoding and decoding architecture shifts manual processing into computation, reducing technical noise. Built-in physical tokenization generalizes representations across novel, patient-specific cellular states.

01

Input encoded sequencing data

We build on ultra-high-throughput sequencing platforms to reduce costs.

02

Generate sample embedding

Our foundation model maps barcode space into sample-level representations, shifting assay complexity to computation.

03 A

Evaluate cell profiles

We construct cell-level omic profiles from mapped barcodes.
03 B

Identify biological mechanisms

Our physical tokenization automates quality controlled annotations.
04

Integrate patient-level outputs

Our patient-level data objects integrate cellular profiles with downstream products, models, and clinical workflows.