About Tesorai

More biological insight from proteomics data

We’re building tools that help researchers turn complex proteomics data into evidence they can explore, interpret, and test across studies.

Generating data is only the beginning

Proteomics experiments now produce more data than many teams can readily analyze. Turning raw files into interpretable results often takes specialized expertise, separate tools, and substantial time.

Relevant public data can add evidence, but finding the right studies and preparing them for reuse is a barrier of its own.

From biology and computation to Tesorai

Tesorai’s founding team came from Verily, an Alphabet company, where they worked across healthcare, biology, data science, and AI. That work showed how difficult it can be for researchers in academia, biotech, and pharma to extract useful insight from complex biological data.

We started Tesorai to make that work more accessible, while keeping the underlying methods and evidence open to inspection.

Connect the experiment to a broader body of evidence

Tesorai brings three connected capabilities into one platform.

Search

Process raw DDA and DIA mass spectrometry data with sensitive, scalable search.

Explore Tesorai Search →

Chat

Perform quality control, statistical analysis, visualization, and biological interpretation through conversation, with inspectable code and exportable results.

Explore Tesorai Chat →

Trove

Find curated public proteomics datasets and bring selected studies into your analysis.

Explore Tesorai Trove →

Together, they let researchers analyze their own experiments, then investigate whether a finding is supported across relevant published studies.

Built through research. Evaluated through evidence.

Tesorai’s methods come from ongoing research and method development. We evaluate them with benchmarks, share the work through publications, and learn from how independent research groups apply them to their own questions.

Publications Case Studies