Evidence

See the study.
Inspect the work.

Study examples show the research decisions. Technical benchmarks test specific system capabilities. They answer different questions.

Inside an analysis

A finding is only as useful as the evidence behind it.

Open the work, not just the pitch. This is actual saved output from a Sutrix benchmark on synthetic data. It is not a customer study.

Sutrix / Open work

Synthetic benchmark

predictor-pain / run 01

When pain takes up more of someone’s thoughts, does it disrupt more of their life?

The benchmark pairs Pain Catastrophizing Scale totals with PROMIS Pain Interference T-scores in 400 synthetic observations.

Predictor
PCS total
Outcome
PROMIS pain interference
Also examined
Pain-duration groups

A generated research fixture, not patient observations. Use the Finding step to inspect the saved result.

For your study

The deliverable is a report.
The difference is what stands behind it.

Tables, findings, methods text, and figures your team can review, cite, and share, with a traceable record of the analysis. Start with a conversation about the question you need to answer.

Discuss your study

Let’s talk about your study

What do you want
your data to answer?

Bring your research question and where the analysis is getting stuck. We’ll discuss the data you have, the work you need, and whether Sutrix is a fit.

Book a study call

30 minutes with Supratik, co-founder · Google Meet

How is my project priced?

We scope the work around your data, instruments, research questions, and the materials you need. We agree the deliverables, timing, project price, and included follow-up before analysis begins. The call is where we establish what your study needs.

Who checks the analysis?

Sutrix is a managed service with human review. Our team checks scoring, analytical choices, and interpretation; your team supplies the study context. The delivered methods and code let you inspect the work. Meet the founders.

What should I bring to the call?

Your research question, the kind of data you collected, where you’re stuck, and any deadline. No account or dataset is needed. We agree on data-sharing arrangements before requesting de-identified study data. Read about data handling.