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SPECIFICTION
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LASER AI vs LitFlow

LASER AI

laser.ai

LitFlow

litflow.org

Side by side

FigureLASER AILitFlow
Price from$250/moFree
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
iOSYes—
AndroidYes—
Self-hosted—Yes
Plans published31
Spec score · AI Literature Review Software8.8 (#2)7.9 (#18)
Spec score · Systematic Review Software8.7 (#2)7.8 (#21)
Audit trailThe system records decisions, changes and actions and provides a history log for every record.AI suggestions and human decisions are logged with timestamps, actors, and rationales.
FoundedEvidence Prime says it was founded in collaboration with McMaster University in 2014.2025
PurposeLASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis.LitFlow is an AI-augmented systematic literature review workspace covering search, screening, extraction, synthesis, and reporting.

Plans

LASER AI

  • Per project$3,000, paid once
  • Per user$3,000 a year
  • EnterprisePriced on request

LASER AI pricing →

LitFlow

  • Academic useFree

LitFlow pricing →

In their own words

LASER AI

LASER AI has no write-up on Specifiction yet; its figures are above.

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LitFlow

LitFlow is an AI-augmented workspace for systematic literature reviews, covering search, screening, extraction, synthesis, and reporting. Search includes database queries, snowballing, and AI-generated synonyms. For each record, AI proposes per-criterion verdicts with confidence scores, explanations, and links to source passages, while researchers make the decisions. Custom extraction schemas can receive LLM pre-fill with source links, and a qualitative coding board supports thematic structure. Reports include PRISMA information, Cohen’s κ, and an audit trail in a publication-ready methods report. AI suggestions and human decisions are logged with timestamps, actors, and rationales. Users can bring keys for Gemini, Claude, OpenAI, or Mistral, or use open-source models hosted by the University of Münster. The closed alpha runs on University of Münster infrastructure in the EU under GDPR, with pseudonymised personal data in research outputs. Operated by the university’s LitFlow research project in Münster, it is free for academic use, requires maintainer approval, and has no commercial tier listed.

Visit litflow.org