Systematic Literature Reviews (SLRs) and evidence extraction workflows are the scientific backbone of life sciences, providing evidence-based insights for R&D, medical strategy, market access, and patient safety.
They are resource-intensive and difficult to keep up to date, especially when screening criteria, extraction fields, and citation trails are managed manually or outsourced.
Biolevate helps teams scale literature screening and evidence extraction while preserving control, traceability, and repeatable expert-reviewed outputs.
16× faster SLR cycles
Shorten SLR and evidence extraction cycles from weeks to days by automating retrieval, deduplication, screening support, structured extraction, and synthesis generation.
9× broader screening coverage
Apply expert-defined screening and extraction logic across larger corpora — for example, from 180 to 2,000+ papers/year — while keeping review decisions traceable.
Up to 99% extraction agreement
Achieve up to 99% agreement with expert-reviewed extraction on defined fields, compared with a documented baseline, using standardized templates, source-linked claims, and full audit trails.
How it works
1
Retrieve & filter documents from internal repositories or external sources (PubMed, arXiv, OpenAI-ready corpora). Biolevate automates query expansion and deduplication to build a complete, traceable corpus.
2
Define a screening logic (inclusion/exclusion criteria) on a small sample set. Biolevate then applies this logic at scale across the corpus to produce a curated, auditable selection.
3
Define an extraction logic (fields, tables, outcomes, endpoints). Biolevate extracts structured evidence from each selected article and compiles it into standardized datasets.
4
Generate the synthesis (report, slide-ready summary, evidence tables) using your templates and extracted data. Every claim stays linked to sources with a full run record and audit trail.
Regulatory-grade traceability: every screening decision, extracted field, and generated claim is linked to source passages, review logic, and a complete run record.
Reusable evidence base: expert-reviewed extracted evidence becomes a living asset for downstream projects such as HTA, safety, medical affairs, and clinical strategy.