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Scaling Single-Cell Sequencing Accelerating Cures

Scale single-cell sequencing without compromising performance. Sansimeon’s platform uniquely scales single-cell sequencing, with the ability to directly process complex clinical samples.

About Sansimeon

Our Tools Accelerate Development of Breakthrough Therapies

  • Identify a person’s unique immune response to disease and to treatment.
  • Accelerate development of CRISPR-based therapies.
  • Generate superior drug discovery datasets through scaled, cost-effective & streamlined processing of complex clinical samples.

Sansimeon is led by veterans in the life sciences industry, with a proven track record in bringing innovative technologies to market. Our products are based on ground breaking technologies developed at Massachusetts General Hospital, the largest teaching hospital of Harvard Medical School.

Applications

Unlock the Potential of Scaled Single-Cell Sequencing to Accelerate Cures

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Immune Profiling

Fully characterize the immune response through TCR repertoire profiling to improve the efficacy of T-Cell immunotherapies and identify new therapeutics.

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CRISPR Screening

Perform genome-wide CRISPR screens to accelerate the development of CRISPR-based therapies.

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Tailored Drug Therapies

Design personalized cancer treatments by identifying a person’s unique immune response to disease and to treatment.

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Next Generation Cell Therapies

Utilize cell engineering to design personalized cancer treatments with improved efficacy and at reduced cost.

Powering AI in Pharma and Biotech

Generate More High Quality Datasets for Drug Discovery Through Scaled, Cost-Effective & Streamlined Processing of Complex Clinical Samples

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Data Analysis

Generate multi-modal datasets with unprecedented resolution and scale to power machine learning in drug discovery and drug development.

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Design and Optimize Clinical Trials

Utilize single cell profiling of patient cohorts to identify clinically relevant signatures.

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Biomarker Discovery & Drug Target Identification

Discover new disease biomarkers and identify potential drug targets from single-cell sequencing data.

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Integration & Automation

Generate multi-modal datasets with unprecedented resolution and scale to power machine learning in drug discovery and drug development.

Our Team

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Philipp Spuhler, PhD

Chief Executive Officer
Engineer and entrepreneur with 15 years of experience in technology commercialization.
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Mehmet Toner, PhD

Technology Advisor
Professor of Biomedical Engineering, Massachusetts General Hospital, Harvard Medical School, and Harvard-MIT Health Sciences & Technology.
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Ravi Kapur, PhD

Technology Advisor
Scientist, engineer, and entrepreneur with 30 years of experience in technology commercialization.
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Jon Edd, PhD

Technology Advisor
Scientist, engineer, and inventor with 20 years experience in technology development.

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