Vision
Powering the Next Generation of Scientific Breakthroughs
We’re rethinking data analysis with accessible, intelligent tools that help researchers reach discovery faster and with confidence.
The Challenge: Massive Datasets, Elusive Insights
Today’s experiments generate massive datasets — from mass spectrometry to other high-throughput assays.
But extracting meaningful signals from the data can be challenging and often limited by the availability of expert analysts. Valuable insights get delayed or lost, and promising research can stall.
Our Belief
Tesorai was born out of a shared belief: that the next generation of breakthroughs in life sciences would come not just from better experiments, but from better understanding of the data they produce.
Who we are
At Tesorai, we’ve assembled a team of engineers, researchers, and scientists who share a deep respect for the complexity of biology and a passion for building tools that make science faster, smarter, and more scalable.

Where we started
Our founding team came from Verily, an Alphabet company at the intersection of healthcare, biology, and data science. There, we tackled some of the most complex problems in medicine and science using leading AI advances. But we also saw firsthand how difficult it was for scientists — across academia, biotech, and pharma — to extract meaningful insight from the increasing amount of data being generated.
Why We Started
We knew there had to be a better way. So we set out to build it.

Our Vision
Accelerating Discovery for Every Scientist by Leveraging Every Byte of Data
Tesorai is building a new kind of platform—one that helps researchers move faster from raw data to real insight. By building powerful AI models that are accessible, we make it easier to analyze complex datasets, identify meaningful patterns, and apply best practices consistently. Whether you’re exploring new biology, finding new targets or biomarkers, Tesorai helps you get there faster -- with confidence and clarity.
Our Departments
Tesorai’s team represents the best of both worlds – tech and life sciences – working together to transform research.
AI/ML Researchers
Top-tier talent from prestigious institutions, including Alphabet/Google, Meta, and MIT, Stanford, UCSF.

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Software Engineers
Individuals with extensive big-data expertise, including former Alphabet/Google engineers.

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Data Scientists
Team has decades of experience in analyzing life science datasets, including -omics, medical imaging, text, and device data.

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Scientists and Advisors
Thought leaders in both science and machine learning from prominent academic and biotech institutions.

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Leadership Team
A team blending deep expertise in AI and biology to reimagine a new approach for scientific research.

Melissa Miao
Co-Founder/CEO
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Peter Cimermancic
Co-Founder/CAIO
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Charlie Kim
Co-Founder/CSO
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Bryan Crampton
Head of Engineering
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Max Burq
Head of Data Science
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Dejan Stepec
AI/ML Engineering Lead
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Join Our Team
We've assembled a world-class team and are always looking for new talent. We would love to hear from you!