An illustrated blue-hour view of Philadelphia and the Schuylkill River.

Built for the city
that moves science.

Bring the literature, the protocol, the question.
We’re building Nemotron API access for research teams ready to put AI to work.

Discuss your project Explore the work

Start with the work.

01 / READ

Literature synthesis

Research notesSynthetic sources

When does a second measurement help?

Study A · controlled setting

In this synthetic comparison, duplicate measurements reduced average error from 8% to 3%.

Follow a finding back to the passage that supports it. See where the sources agree—and where they don’t.

02 / STRUCTURE

Protocol extraction

A study, made legible.

Synthetic protocol · excerpt

This observational study follows 120 adult volunteers over 12 weeks.

The primary endpoint is change in six-minute walking distance at week 12.

Select a field to trace it to the source.

Turn a protocol into fields you can inspect. Keep the source one click away.

03 / BUILD

Research code

from statistics import mean

cohorts = {
    "A": [2, 4, 6],
    "B": [4, 6, 8],
    "C": [6, 8, 10],
}

summary = {
    name: mean(values)
    for name, values in cohorts.items()
}
# Expected: {"A": 4, "B": 6, "C": 8}

Expected cohort meansSynthetic data

A · 4

B · 6

C · 8

From a research question to an analysis you can read, review, and reproduce.

Prepared examples · evaluation pending

Explore the sources, change the view, inspect the result. These examples use synthetic material and do not make live model calls.

An illustrated night view of the Philadelphia Museum of Art.

Your next study deserves a considered starting point.

Tell us what you’re working on. Let’s find a useful first experiment.

Discuss your project