Redwood Research is a recent addition to the DirJournal trust graph, pending the full 12-point manual editorial audit. Last checked April 15, 2026. Source: nap.biz Identity Vault.
Editorial Verification
200 OK StatusAuto-Passed
Primary website is live, secure (HTTPS), and free of malware.
Domain AgeAuto-Passed
Real-world domain age (≥1 yr, verified via the Wayback Machine) OR pre-migration legacy ID OR ≥2 years of platform tenure. Survival across multiple search-engine update cycles is itself a trust signal.
Schema ValidationAuto-Passed
Valid Organization / ProfessionalService JSON-LD emitted on every page load — checked at render time.
Citation ClarityPending Manual Review
Verified outbound links to at least two authoritative sources (social profiles, sameAs URLs).
Operational HistoryAuto-Passed
Minimum 12-month active history in the claimed industry — derived from the business's founding year, Wayback-verified domain age, or listing tenure (any one signal passes).
Entity RegistrationPending Manual Review
Cross-referenced with official state or country business registries.
Physical FootprintData Incomplete
Verified non-virtual presence via Google Maps or official lease documentation.
Complete in DashboardActive LeadershipData Incomplete
Confirmation of key team members and executive roles.
Complete in DashboardNAP ConsistencyData Incomplete
Verified match of Name, Address, and Phone data across platforms.
Complete in DashboardProfessional LicensingPending Manual Review
Verification of required industry-specific certifications or licenses.
Sentiment AuditPending Manual Review
Manual review of third-party reputation signals (BBB, Trustpilot, etc.).
Editorial DiscretionPending Manual Review
Final human review to ensure the business provides genuine value.
This entity has not yet undergone the 12-Point Manual Editorial Audit. The points above marked Auto-Passed are system-derived; the manual checks need a human editor's sign-off.
DirJournal's Perspective · System-Derived Authority
Redwood Research is a recent AI Safety Research Labs addition to the DirJournal trust graph. Initial automated checks (schema, citations, site reachability) are in place; the full 12-point manual editorial audit is the next verification tier.
About
Redwood Research is an AI safety research organization focused on technical alignment research and AI control, founded in 2021 and headquartered in Berkeley, California. Founded by Nate Thomas, Buck Shlegeris, and Bill Zito, Redwood Research conducts empirical alignment research focused on AI control techniques designed to safely deploy AI systems even when alignment is uncertain, mechanistic interpretability research, model organisms research, and AI safety evaluations. The organization publishes influential research on AI control protocols, scalable oversight, and adversarial robustness, partners with major AI labs and the broader AI safety community, and contributes to setting research agendas for ensuring frontier AI systems remain controllable and safe through their deployment lifecycle.
| Feature | Destination |
|---|---|
| AI Alignment Research | |
| AI Control Techniques | |
| Mechanistic Interpretability |
This listing is missing founding year, team members, pricing, hours, phone, and email. Claim ownership to add the missing details, respond to inquiries, and verify your business is represented accurately.