LASER AI
7.6#2 in ai literature review softwareFrom $3,000 a yearAndroidiOSWeb
VisitLASER AI vs ReviQ
What both publish
| Fact | LASER AI | ReviQ |
|---|---|---|
| Integrations | GetApp lists third-party integrations as a supported feature and rates that feature 5.0 from one review. | Grey-literature retrieval can use SearchApi.io-backed search engines or arXiv’s API, and uses ScrapingBee to fetch and archive sources. |
| Intended users | The maker presents plans for research teams, clinical research organizations, and companies. | The project describes its workflow for researchers conducting systematic or multivocal literature reviews, including reviews with up to five reviewers. |
| Purpose | LASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis. | ReviQ is a locally deployed workbench for systematic and multivocal literature reviews. |
| Screening | It ranks records by estimated likelihood of meeting inclusion criteria and offers a customizable focus mode. | Title and abstract screening supports Include, Exclude, and Uncertain decisions, per-criterion rationale, conflict detection, Cohen’s κ with 95% CI, and PABAK. |
LASER AI plans
- Per project$3,000, paid once
- Per user$3,000 a year
- EnterprisePriced on request
ReviQ plans
No prices published.
Pick LASER AI if…
You want what its maker publishes above — check its page for the details.
Pick ReviQ if…
ReviQ is intended for researchers conducting systematic or multivocal literature reviews. It may suit teams of up to five reviewers comfortable with Docker and local deployment.