48
Total
31
Done
3
Running
0
Failed
Smith et al. 2024
NEJM
Done
Johnson et al. 2023
Lancet
Running
Williams et al. 2024
JAMA
Running
Chen et al. 2023
BMJ
Queued
eviStreams automatically generates AI pipelines that extract structured data from hundreds of research papers — in minutes, not months.
Start extracting →From initial form creation to structured output — automated end-to-end.
Define your form once. eviStreams's AI decomposes it into atomic extraction tasks, generates DSPy signatures and modules, then assembles a staged pipeline — automatically.
Every extracted field is compared against human annotation at the field level. Semantic matching catches paraphrasing. Exact matching flags discrepancies.
Every extracted value links back to the exact sentence in the paper that supports it. Export to JSON, CSV, or connect to your review management tool.
AI extraction meets dual human review. Compare AI, Reviewer 1, and Reviewer 2 side-by-side. Resolve disagreements field-by-field with majority suggestions and full audit trail.
Every tool your systematic review team needs, in one platform.
Build extraction forms with any field type — numeric, text, categorical, nested subforms.
form-builderStream real-time extraction logs directly in the browser. Full visibility into every step.
websocketAsk questions about any paper directly. Responses grounded in extracted data.
rag · groundedFull provenance tracking. Every field links to its source sentence and confidence score.
provenanceCompare AI, R1, and R2 side-by-side. Resolve conflicts with majority-vote suggestions.
adjudication · consensusDownload as JSON or CSV. Field-level metadata and source text included in every export.
json · csv"Cut extraction time by 80%.
Without cutting corners."