Enabling high precision cellular enrichment for reliable molecular analysis
Unified annotation to mask pipeline. Batch processing. Fault tolerant execution on standard on premises workstations.
Problem we solve
Small or heterogeneous biopsies often do not yield enough tumor nucleic acid for downstream analysis.
Teams move data between many tools and wait for hours for each run.
Annotations can reach 15 to 18 GB. Manual transfers slow work and increase failure risk.
Turnaround time grows and monthly throughput stays flat.
Our solution
One desktop app invokes the AI annotation, turns JSON into print masks, and drives the microdissection step.
It batches slides, shows progress, and retries failed items automatically.
Out of process execution with auto retries improves stability.
On premises scaling across CPUs with dynamic thread pools.
Impact and numbers
How it fits your lab
Works with common slide scanners and annotation engines.
Modular design supports new biopsy types and updated algorithms.
Windows based UI with supporting Python utilities and JSON logs.
Minimal data movement and simple install for secure environments.
Workflow snapshot
Security and compliance notes
On premises by default with minimal data movement.
Role based access in the app and redacted logs by default.
No screenshots or external vendor names are used in this material.
All claims are framed as a capability example for Sequoia.
Get started
Talk to our engineering team about your workflow needs.