Who it’s for
For Academic Researchers

Rigor and reproducibility, built in.

Transparent methodology, reviewable source quotes, and honest quality controls — not a black box. Built for researchers who need the study, data, and methods to hold up under review.

The academic problem

Most AI research tools are black boxes.

Proprietary AI-moderated tools promise speed but hide the method. Prompts, probing logic, and quality rules are invisible — which means studies aren't reproducible, and reviewers have no way to evaluate the methodology.

Academic research needs the opposite: transparent methods, inspectable settings, and data you can defend at peer review. Not a vendor's promise.

Methods you can publish. Data you can defend.
What academic research actually needs
What you get

Why academic teams use it.

Transparent methodology

Every prompt, probe rule, and quality check is visible and exportable. Studies are reproducible by design, not by accident.

Reviewable source data

Raw responses, attention flags, and themed reports export together. Reviewers see the evidence, not just the conclusion.

Quality you can report

Attention check rates, completion times, and response quality scores — all captured automatically.

IRB-friendly workflows

Anonymity, consent flows, and data residency controls are built in. Configure once, apply to every study.

Research that holds up.

Run your first study free. Twenty responses on the house. No credit card.