LASER AI
7.6#2 in ai literature review softwareFrom $3,000 a yearAndroidiOSWeb
Visit| Fact | LASER AI | Sysrev |
|---|---|---|
| AI data use | The maker says it uses pre-trained models and does not train them on client data. | Sysrev states that data sent to the Auto-labeler is not used for OpenAI model development or improvement. |
| Exports | Documented outputs include PRISMA flow diagrams, extraction exports, flexible extraction analysis and report export. | Project data can be exported as EndNote XML, Excel workbooks, Parquet files and bundled PDFs. |
| Human review | The product describes human-in-the-loop verification, with expert users overseeing critical judgments and final decisions. | Reviewers can work singly or collaboratively, with blind review, single or double screening modes and conflict resolution. |
| Integrations | GetApp lists third-party integrations as a supported feature and rates that feature 5.0 from one review. | External records can be imported through RIS or BibTeX files, and Zotero-compatible files can be handled through the Zotero translator. |
| Intended users | The maker presents plans for research teams, clinical research organizations, and companies. | The maker describes Sysrev as suitable for researchers conducting systematic, scoping, and rapid reviews, including collaborative institutional teams. |
| Purpose | LASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis. | Sysrev is a platform for data curation and systematic evidence review. |
| Security | The maker says LASER AI has FedRAMP LI-SaaS, SOC 2, and ISO 27001 certifications. | Sysrev says customer data is encrypted at rest with AES-256 and AWS Key Management Service customer-managed keys. |
| Support | GetApp lists email/help desk, phone support, knowledge base and FAQ/forum support, plus live online, webinar, documentation and video training. | Users can submit an in-project issue report or email [email protected]. |
You want what its maker publishes above — check its page for the details.
Sysrev suits researchers conducting systematic, scoping, or rapid reviews, including collaborative institutional teams. It may fit projects that need flexible record import, screening, and structured data extraction.