Our Motivation
Outside our San Francisco office, empty cars autonomously drive the roads. Computers now easily pass the bar exam, beat humans at Go, and generate awe-inspiring art.
But while some industries leap forward, life science lags behind. Our mission is to help people live longer, healthier lives by advancing technology for life sciences.
We are building a multi-disciplinary team dedicated to the intersection of biotechnology and software engineering. As a software company, we focus on creating state-of-the-art tools our users love. Through close partnerships with biotech companies, we bring those tools to research groups advancing science.
Our Goal
Biotech generates a tremendous amount of data. High-throughput sequencing and screening have become the norm, and biotech is estimated to have the largest volume of data of any industry by 2025.
Recent breakthroughs in computer science and machine learning have the opportunity to profoundly impact scientific research. However, the majority of biotech companies lack the tools or software team necessary to fully utilize these advances and the data they have.
Our goal is to bridge the gap between biological data and cutting-edge technology by building modern data engineering software for the biotech industry.
Emily Damato
Emily is an engineer with over ten years of experience at the intersection of computer science and life science.
She developed cloud infrastructure at GRAIL that supported the analysis of over 35 petabytes of genomics data.
She has done biology research at MIT in both the wet lab and dry lab. In industry she worked in drug discovery, cell therapy, diagnostics, molecular dynamics simulations, and patient health records.
Madeline Schade
Madeline is a software engineer with experience at Google and multiple biotech companies.
At GRAIL she developed an EDC that supported one of the largest clinical trials ever performed (over 200k patients), and at Google worked on a system supporting 10 billion queries per day.
She studied computer science and computer engineering at UC Santa Cruz.
We're not new here
Our team has built software for…
Single Cell Analysis
Automated analysis of 10x workflows
Drug Discovery
Small molecule drug discovery
Machine Learning
Developed ML models for microscopy images
Cryo Electron Microscopy
Single particle reconstruction
High Throughput Sequencing
Managed over 35 PB of NGS data and 280k analyses per year
PHI Management
Secure data management for patient health information
Cell Therapy
Cell therapy research and development
Transcriptomics
Developed transcriptomic analysis pipelines
Backed by
we love what we do
Scientific Curiosity
We embed ourselves in the science, and constantly ask how we can help make a difference.
Engineering Ethics
We take pride in what we build, and prioritize integrity while leveraging cutting-edge technology.
Collaboration
Dedication
We are dedicated to what we do, but also to our coworkers and customers.
