Conjecture 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
Conjecture 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
Conjecture is an applied AI safety research organization focused on solving the technical alignment problem and reducing existential risks from advanced AI systems, founded in 2022 and headquartered in London, United Kingdom. Founded by Connor Leahy, Sid Black, and Gabriel Alfour, Conjecture conducts research on cognitive emulation (CoEm), interpretability, AI policy, and produces the COASCAS framework for principled AI alignment. The organization develops technical safety research, publishes influential papers on AI risk and alignment methodology, runs the Conjecture podcast, advises European governments and international AI policy bodies, and operates as one of the leading independent voices arguing for caution in frontier AI development globally.
| Feature | Destination |
|---|---|
| AI Alignment Research | |
| Cognitive Emulation CoEm | |
| Interpretability Research |
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.