agent · ai-research-agents
Causaly vs Rayyan
55 fields both were evaluated on, 16 of them different — including where one discloses something the other does not. Every value links to the document it came from. 39 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Causaly | Rayyan |
|---|---|---|
| Audit trail· | Every decision is fully traceable, ensuring defensible, inspection-ready reviews at any stage. “Auditability Every decision is fully traceable, ensuring defensible, inspection-ready reviews at any stage.”rayyan.ai · checked Aug 1, 2026 | |
| Explainability· | From inclusion criteria to final outputs, every action is visible, shared, and accountable across teams. “Transparency From inclusion criteria to final outputs, every action is visible, shared, and accountable across teams.”rayyan.ai · checked Aug 1, 2026 | |
| Runtime governance· | no public information rayyan.ai · checked Aug 1, 2026 | |
| Permission scopes· | no public information causaly.com · checked Aug 1, 2026 | Add team members Assign roles Enable shared access “Invite Collaborators Add team members Assign roles Enable shared access”rayyan.ai · checked Aug 1, 2026 |
Practicality
| Field | Causaly | Rayyan |
|---|---|---|
| Pricing model· | no public information causaly.com · checked Aug 1, 2026 | |
| Price point· | no public information causaly.com · checked Aug 1, 2026 | |
| Integrations· | no public information rayyan.ai · checked Aug 1, 2026 | |
| Supported regions· | no public information causaly.com · checked Aug 1, 2026 |
Ecosystem
| Field | Causaly | Rayyan |
|---|---|---|
| Protocols supported· | no public information rayyan.ai · checked Aug 1, 2026 | |
| Tool use· | “Tools, models and data are carefully selected for agents which collaborate, cross-validate, and handoff seamlessly”causaly.com · checked Aug 1, 2026 | no public information rayyan.ai · checked Aug 1, 2026 |
| Multi-agent· | “agents which collaborate, cross-validate, and handoff seamlessly”causaly.com · checked Aug 1, 2026 | no public information rayyan.ai · checked Aug 1, 2026 |
| API access· | no public information rayyan.ai · checked Aug 1, 2026 |
Impact
| Field | Causaly | Rayyan |
|---|---|---|
| User base· | no public information causaly.com · checked Aug 1, 2026 | 1 million+ researchers at 20,000+ institutions across 190+ countries “Trusted by 1 million+ researchers at 20,000+ institutions across 190+ countries.”rayyan.ai · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations |
| Deployment scale· | no public information causaly.com · checked Aug 1, 2026 | “Trusted by 1 million+ researchers at 20,000+ institutions across 190+ countries.”rayyan.ai · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 2, 2026 and this quote was not there. How we re-check citations |
| Target sectors· | ||
| High-risk domains· | no public information rayyan.ai · checked Aug 1, 2026 |
Disclosed by neither
Both Causaly and Rayyan publish nothing on these 39 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 39 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Goal complexity
- Action space
- Operating environment
- Initiative
- Documented incidents
- Availability
- Deployment options
- Support model
- Base models
- Model provider
- Model swappable
- Open weights
- Fine-tuning
- Context window
- Open source
- Marketplace presence
- Safety evaluations
- Red teaming
- Safety policy
- Usage restrictions
- Model or system card
- Incident reporting
- Third-party evaluations
- Data handling
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Compliance certifications
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
- Evaluation coverage
Questions
- How do Causaly and Rayyan compare on user base?
- Causaly: no public information disclosed. Rayyan: 1 million+ researchers at 20,000+ institutions across 190+ countries.
- How do Causaly and Rayyan compare on supported regions?
- Causaly: no public information disclosed. Rayyan: 190+ countries.
- How do Causaly and Rayyan compare on permission scopes?
- Causaly: no public information disclosed. Rayyan: Add team members Assign roles Enable shared access.