Sequentify is a spin-off from Weizmann Institute, developing products in the field of Next Generation Sequencing (NGS) library preparation, offering up to 50x less expensive and 10x quicker kits and services for targeted sequencing.


Our Representatives

Ophir Herbst

CEO, Sequentify Ltd.

CEO

Sequentify Ltd.

Sequentify provide next generation targeted DNA sequencing library prep kits that are 10x faster and 10x-100x less expensive.

Tamir Biezuner

Chief Scientific Officer, Sequentify Ltd.

Chief Scientific Officer

Sequentify Ltd.

Sequentify develops genomics tools that enable cost effective sequencing, at scale.

Tom Fleischer

CEO, Sequentify

CEO

Sequentify

Sequentify specializes in making library preparation for Next Generation Sequencing, faster and more affordable by up to 10X. Our products have been technically validated by clients and o...

About

Sequentify is a spin-off from Weizmann institute, developing products in the field of Next Generation Sequencing (NGS) library preparation, offering up to 50x less expensive and 10x quicker kits and services for targeted sequencing.
Our mission is to make NGS as affordable and ubiquitous as complete blood counts.

Segments

  • Cancer diagnostics
  • Carrier screening
  • Agri-tech and food-tech
  • Virology and microbiology
  • Heart disease diagnostics
  • Precision and companion diagnostics
  • cfDNA and Liquid Biopsy
  • Veterinary Medicine

Solutions

  • Off-the-shelf panels for specific applications
  • Custom panels per customer specifications
  • Post-sequencing bioinformatics analysis and reports

Benefits

  • Lowest cost - Significantly less expensive than other solutions - save $M’s
  • Short lab time - Shortest turnaround time; Save equipment & personnel costs
  • One-pot reaction - Automation friendly; Cuts down on consumables
  • High quality - Robust uniformity, specificity, tackles GC-rich regions
  • Fast panel design - Receive custom-tailored panels within weeks
  • Low allele frequency - Supports somatic mutations sequencing and low signal-to-noise use-cases