LASER AI vs SyRF
LASER AI
laser.aiSyRF
syrf.org.ukSide by side
| Figure | LASER AI | SyRF |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| Plans published | 3 | 1 |
| Spec score · Systematic Review Software | 8.7 (#2) | 7.1 (#26) |
| Data extraction | AI suggestions link extracted values to PDF sources, and users can accept, edit, or reject them. | Data extraction for graphs requires enabling data extraction alongside annotation in a project stage. |
| Intended users | The maker presents plans for research teams, clinical research organizations, and companies. | SyRF is intended for researchers conducting systematic reviews and meta-analyses of preclinical studies. |
| Purpose | LASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis. | SyRF supports evidence synthesis and systematic reviews of preclinical research, including storing extracted data and providing educational resources and guidance. |
| Screening | It ranks records by estimated likelihood of meeting inclusion criteria and offers a customizable focus mode. | Reviewers can screen studies against project inclusion and exclusion criteria, with two independent screeners and a third reviewer for disagreements by default. |
| Support | GetApp lists email/help desk, phone support, knowledge base and FAQ/forum support, plus live online, webinar, documentation and video training. | The guide directs users to contact the SyRF Help Desk for help with manual screening-disagreement reconciliation. |
Plans
LASER AI
- Per project$3,000, paid once
- Per user$3,000 a year
- EnterprisePriced on request
In their own words
SyRF
SyRF is a web platform for researchers conducting systematic reviews and meta-analyses of preclinical studies. It supports collaborative projects, configurable workflows, study screening, annotation, data extraction, and educational guidance. By default, two reviewers assess studies against inclusion and exclusion criteria, with a third reviewer handling disagreements. Student projects can enable single screening, though the guide does not recommend it for journal-bound reviews. Administrators create annotation questions and assign them to workflow stages; graph extraction requires data extraction and annotation together. Studies and associated data, including quantitative results for analysis in R or SAS, can be downloaded. References must be deduplicated and supplied as EndNote Desktop XML or CSV. Full-text PDFs may be linked, but users provide the files separately for SyRF staff to process and store. Projects can be public or private, and each project currently supports one criteria set. SyRF is free online, with a minimum feature set under continuous development.