LASER AI
7.6#2 in ai literature review softwareFrom $3,000 a yearAndroidiOSWeb
VisitLASER AI vs Nested Knowledge
Nested Knowledge
6.5#12 in systematic review softwareFrom $19.95 a monthWeb
VisitWhat both publish
| Fact | LASER AI | Nested Knowledge |
|---|---|---|
| Founded | Evidence Prime says it was founded in collaboration with McMaster University in 2014. | 2018 |
| Integrations | GetApp lists third-party integrations as a supported feature and rates that feature 5.0 from one review. | Listed integrations include Embase, CCC RightFind, Article Galaxy, and scite; most organization-configured integrations require the customer’s own provider license or credentials. |
| Intended users | The maker presents plans for research teams, clinical research organizations, and companies. | The maker describes the platform for academic researchers, technological innovators, biotech organizations, and life sciences teams. |
| Purpose | LASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis. | Nested Knowledge is a systematic review and evidence synthesis platform for searching, screening, extracting data, critical appraisal, and sharing results. |
| Security | The maker says LASER AI has FedRAMP LI-SaaS, SOC 2, and ISO 27001 certifications. | The encryption policy says all data is encrypted at rest and server, service, and database communications are encrypted in transit. |
| Support | GetApp lists email/help desk, phone support, knowledge base and FAQ/forum support, plus live online, webinar, documentation and video training. | The maker directs users to its support page or [email protected] for technical issues. |
LASER AI plans
- Per project$3,000, paid once
- Per user$3,000 a year
- EnterprisePriced on request
Nested Knowledge plans
- Academic$19.95 a month
- Academic+$69.95 a month
- Business Essentials$295 a month
- Enterprise$695 a month
- Enterprise PlusPriced on request
- InstitutionalPriced on request
Pick LASER AI if…
You want what its maker publishes above — check its page for the details.
Pick Nested Knowledge if…
It suits academic researchers, biotech organizations, technological innovators, and life sciences teams conducting evidence reviews. Teams needing traceable AI outputs and structured synthesis tools may find its workflow relevant.