Skip to content
Companies

Inso Biosciences

Microfluidic DNA extraction for long-read sequencing

Raised to date

$750K

of $3M offered across 1 Form D filing

Still open
$2.3M
Investors
9
Last filed
Apr 10, 2026

About

Inso Biosciences is an early-stage Ithaca, New York biotechnology company building hardware and tools for genomic sample preparation. Its patented microfluidic 'micropillar' technology, invented and developed at Cornell University, captures DNA physically rather than through traditional affinity binding, extracting high molecular weight DNA from raw cells, blood, or tissue in 8-10 minutes. The company targets long-read DNA sequencing, multi-omic sample processing, and pathogen surveillance. It was founded around 2020 and has backing from investors including SOSV, Whitecap Venture Partners, Ataraxia, and CRCM Ventures, alongside non-dilutive New York State and federal awards.

Physical micropillar capture instead of affinity binding preserves very long DNA fragments — 50 kb to over 1,000 kb — which conventional column and bead chemistries shear, and it extracts DNA and RNA together losslessly from the same sample in under ten minutes.

Funding

  • Security to be acquiredFiled Apr 10, 2026Form D
    $750K/ $3M

Product

Micropillar microfluidic DNA extraction system

Life science research instrumentation

An automated sample-preparation platform that runs raw biological samples through a microfluidic chip of patented micropillars, physically capturing and purifying DNA rather than binding it chemically. It produces high molecular weight DNA suitable for long-read sequencing and supports combined DNA plus RNA extraction from a single input.

  • Patented micropillar technology captures DNA physically, not by affinity binding
  • 8-10 minute extraction directly from raw samples
  • High molecular weight fragments from 50 kb to over 1,000 kb

Built for

Genomics and sequencing laboratories — academic core facilities, clinical genomics labs, and biotech R&D groups running long-read and multi-omic workflows

People on file