Scientific data is full of signal. But it’s not easy to find.
Most researchers explore datasets manually, following hypotheses informed by intuition, assumptions, and a literature that often doesn’t replicate. They spend weeks or months wrangling spreadsheets and running analyses. And yet, they access only a tiny fraction of the discoveries in their data.
But science doesn’t have to be so uncertain. Our Discovery Engine systematically finds complex patterns in data at unprecedented speed and scale, allowing researchers to fully explore the space of possible discoveries in any given dataset.
It’s data-driven, unbiased and completely reproducible – and has already helped scientists make novel discoveries 100x faster than usual, from materials science to meteorology.
A new paradigm of data-driven science
What does this mean for scientists?
A new paradigm of data-driven science
+ From data to insight 100x faster. Data exploration that used to take months is done in hours, completely automatically.
+ Hidden interactions made clear. Discovery Engine surfaces non‑linear, combinatorial relationships that you’d otherwise miss.
+ Evidence that scientists trust. P‑values, reproducible code, and the data subsets that prove each finding.
+ Data efficiency. Hundreds of samples are often enough.
+ Smart contextualisation. Findings are automatically related to existing literature, so research teams can see whether they're replicating existing knowledge, or in the midst of a novel discovery.
+ More data = more discoveries. Experiments can be expensive, but you don't need to leave return on that investment up to chance. Discovery Engine systematically extracts maximum value from any dataset.
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“It would take us one postdoc year to analyze this data…and you found something that we may never have found, that could be worth billions.”
