Stop extracting data by hand.
No credit card. No setup. Just early access.
4,000 abstracts. 40 minutes. Rationale for every single one.
Apply your inclusion and exclusion criteria once. Oryn screens every abstract against them and writes a decision rationale for each one — so you're reviewing reasoning, not reading thousands of abstracts yourself.
Full-text screening when abstracts aren't enough. Liberal inclusion at the abstract stage so nothing relevant gets missed. And it flows directly into extraction — no exporting CSVs to another tool.
AI that extracts like a trained researcher — on every paper, every time.
Paper #200 gets the exact same precision as Paper #1. No fatigue. No drift. No degradation.
Oryn uses a 5-layer prompt system — combining codebook rules, variable-specific instructions, learned examples, and the full paper context — to extract each variable with the same care your best reviewer would on their best day.
Table-aware extraction that reads complex tables, not just running text. Section detection — it knows Methods from Results from Discussion. Every extracted value comes with a confidence score and the exact source text it was pulled from.
Same paper. Same variables.
Real extraction from a Phase III oncology trial
3 errors · 1 missing value
All values with source citations
1,300+ variables. 30+ domains. Your codebook is already built.
From oncology and cardiology to epidemiology and health economics — every domain includes ready-to-use variable sets with extraction prompts and edge case handling. 66 starter kit templates for common study types get you extracting in minutes.
Need something custom? Build your own variables with types, extraction prompts, validation rules, and conditional logic. If Variable A = X, then Variable B = Y. The kind of codebook rules that used to live in a 40-page manual.
Teach it once. It remembers forever.
Every correction you make is stored with its full context — the paper text, the variable, what went wrong, and the right answer. Next time a similar paper comes through, Oryn retrieves relevant corrections and applies them automatically.
The more you use it, the smarter it gets. Per-project learning by default. Cross-project learning when you opt in. And when the same correction keeps recurring, Oryn suggests new rules so you don't have to keep fixing the same thing.
PRISMA compliance without the paperwork.
Every step follows PRISMA guidelines — from screening criteria to extraction audit trails to decision logging. Compliance is built into the workflow, not bolted on after the fact.
Oryn generates PRISMA flow diagrams from your actual screening data. Every decision is logged: who reviewed, what was decided, when. Export in formats ready for journal submission.
We looked at what's out there. Nothing else does this.
| Feature | Oryn | Covidence | Rayyan | Elicit |
|---|---|---|---|---|
| Data extraction | ||||
| AI screening with rationale | ||||
| 4,000+ abstracts in 40 min | ||||
| Screening → Extraction integrated | ||||
| 1,300+ pre-built variables | ||||
| Learns from corrections | ||||
| PRISMA compliance built-in | ||||
| Confidence scores per variable | ||||
| IPD extraction mode |
“We extracted data from 150 papers in a fraction of the time it would have taken manually. The accuracy was remarkable — especially on complex oncology endpoints.”
Stop extracting by hand. Start publishing faster.
Join the waitlist for early access. We're onboarding researchers this spring.
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