Research you can trust. Bystro is the most accurate agentic answer engine for serious research. Every claim is traced to its source or to an analysis you can rerun, across the literature and petabyte-scale data.
You bring the questions. Bystro finds the data.
Already have data? Run Bystro on your own servers and analyze it at petabyte scale, alongside the literature.
“To have it actually generate, on the fly, pages of fully valid statistical analysis code, execute that code locally for security, generate volcano plots, and interpret the results was astonishing. This will be transformative for the field.”
Charles DeCarli, MD
Distinguished Professor of Neurology, Victor and Genevieve Orsi Chair in Alzheimer's Research, Co-Director, Alzheimer's Disease Research Center, Chief, Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis
“Bystro AI lets an investigator use the best available algorithms in the most sophisticated ways with the simplest possible interface by asking the question the same way they would to a colleague.”
David Cutler, PhD
Professor, Emory University
“It's Claude code in the cloud, best bioinformatics vibecoding app out right now. I'm always impressed by the stats chops of the Bystro agent, whereas out-of-the-box LLMs tend to have more limited stats input, unless you really push for more.”
Jacob Boysen, PhD
Researcher
“Bystro is special - For a CEO who needs to get up to speed quickly in detailed areas, Bystro's THiNK has allowed me to get rapid, reliable information and analysis with an impressive amount of error checking. I am a fan.”
David de Graaf, PhD
Co-Founder, CEO & President at Reverb Therapeutics
You don't need a dataset to get value from Bystro. Ask what you'd ask a research team, and it finds the evidence, runs the analysis and shows its work.
“Compare and contrast the business models of [Company A] and [Company B], then create a table of areas of synergy with rank, area and suggested strategy.”
What you get back: A ranked synergy table with a strategy for each area, every claim cited.
“What is the diagnostic accuracy of different biomarkers for early detection of Alzheimer’s disease? Review the latest research.”
What you get back: A comparison of biomarker accuracy across recent studies, every figure cited.
“Analyze [Company C]’s patent portfolio over the past 15 years. Bin patents by focus area, sort them, and identify shifts in focus over time at 95% confidence.”
What you get back: Focus-area bins, sorted patents and statistically tested shifts over time.
“Pool every registered trial of this drug class. What’s the effect on all-cause mortality, and how much is publication bias?”
What you get back: A pooled effect estimate with a publication-bias assessment.
“Using the attached dataset, identify genomic mutations and methylation changes, linked to higher or lower expression of the associated protein, that correlate with progression-free or disease-free survival in basal-cell breast cancers only. Create ROC and Kaplan–Meier plots for the top 3 markers.”
What you get back: Ranked survival-linked markers, with ROC and Kaplan–Meier plots for the top three.
Used by
Emory School of Medicine
Department of Neurology
Read our whitepaper where we test our own leakage-free benchmark.
Read the whitepaper
Bystro Enterprise
Bystro Enterprise runs entirely inside your infrastructure, so proprietary, governed and sponsor-restricted data never leaves it. For genetics, that means petabyte-scale cohorts with unmatched annotation speed.
It's how most of our customers use Bystro today.
Bring a question you haven’t been able to answer, whether it’s research, strategy or IP. We’ll walk you through how Bystro finds the data, runs the analysis and verifies every claim.
Prefer email? team@bystro.io
