Test more hypotheses. Publish faster. Do the science.
Stop waiting weeks for statistical results. Start your next study tomorrow.
ResearchQ AI handles clinical trials, epidemiological studies, and biological experiment data so you can focus on the research. We clean your data with domain experts, let you explore hypotheses with AI, and verify results when you're ready to publish.
How it works
A human on both ends. AI in the middle. No black boxes.
We prepare your data for AI analysis
This isn’t normal data cleaning. LLMs need data structured in ways that preserve statistical meaning: explicit variable types, codebook-aligned labels, documented missingness patterns, proper survey design metadata. Our domain experts transform raw clinical trials, epi surveys, EHR exports, and lab data into datasets that AI can analyze correctly, not just read.
AI tests if the data supports your hypotheses
Ask research questions in plain English. The ResearchQ agent selects the right statistical methods, writes the code, runs the models, and shows you whether your data supports each hypothesis, with effect sizes, confidence intervals, and visualizations.
Verification when you’re ready to publish
Found a result worth publishing? A PhD statistician audits the code, checks clinical logic, validates assumptions, and signs off. You get a verified publication package with reproducible code and an audit trail.
What happens after data collection ends
Without ResearchQ
Clinical trial data locked. Researcher spends days cleaning exports, reconciling variables across sites, figuring out the right survival analysis approach.
Waits for a biostatistician consult. Back-and-forth over email about endpoint definitions, censoring rules, and covariate selection.
Gets results for the primary endpoint. Wants to explore a subgroup analysis. The cycle starts over.
Still on the first dataset. Two other studies are waiting for analysis. The research program has stalled.
1 hypothesis tested in 5+ months. Research program bottlenecked by analysis.
With ResearchQ
Upload raw clinical data, epi survey exports, or lab results. ResearchQ data scientists clean, validate, and structure it with proper study design metadata.
Researcher explores hypotheses with the ResearchQ agent. Tests 15 questions in a single afternoon: survival curves, subgroup analyses, dose-response relationships. AI shows which hypotheses the data supports.
Researcher selects the most promising findings. PhD statistician verifies the analysis and delivers a publication package with reproducible code.
Researcher moves on to the next study, informed by verified results from the last one.
15 hypotheses tested in 3 days. On to the next study by day 4.
The bottleneck in most research programs isn't the studies. It's waiting for the analysis. ResearchQ eliminates the wait so researchers can keep doing research.
What you get: a complete publication package
A single, self-contained report that satisfies journal requirements, IRB audits, and NIH reproducibility mandates.
Publication-ready tables and figures
Formatted to AMA/APA style. Survival curves, forest plots, regression tables. Copy directly into your manuscript.
Complete reproducible code
R and Python scripts with pinned package versions. Any reviewer can re-run the exact analysis.
Verification certificate
PhD statistician signature, methodology review, version hash. Satisfies journal AI disclosure requirements.
Your next experiment is waiting on your last one's data
Send us a dataset. We'll show you how fast you can go from raw data to verified results, and get back to the bench.