← All companies & organizations

Research orgs / Organization profile

FAR.AI

What FAR.AI does

FAR.AI (Frontier Alignment Research) is a U.S.-incorporated (501(c)(3)) independent nonprofit research organization focused on technical AI safety research, plus research incubation and field-building aimed at closing the gap between new safety ideas and real-world deployment. Its stated goal is to “close the research-adoption gap” by developing high-leverage technical safety solutions and scaling them toward verification and adoption by frontier AI developers. FAR.AI describes an operating model that combines (1) in-house foundational research, (2) a “driving adoption” pipeline for scaling vetted safety solutions into practice, and (3) “field building” through convenings and grantmaking. FAR.AI’s research portfolio emphasizes adversarial robustness/red-teaming and evaluation, deception-related risks and mitigation, and related safety measurement and verification themes; it also highlights high-leverage work with government and standards efforts, including leading a consortium for CBRN evaluations for the EU AI Office and collaborating with the UK AI Security Institute. Operationally, FAR.AI has a Berkeley coworking/research hub (“FAR.Labs”) and runs workshops and other convenings intended to build the technical safety community and measure progress toward deployable safeguards.

News

Company record

Sep 17, 2026 · Official · FAR.AI News/BlogPersuasion Undermining Control: Can AI Talk its Way Out of Human Control?

FAR.AI published a research item studying AI persuasion as a way to undermine human control, referencing the Anthropic Mythos 5 headline example and describing its broader, systematic threat framing for frontier AI labs.

↗
Jul 29, 2026 · Official · FAR.AI News/BlogIntroducing the AI Security Leaderboard: Frontier AI Is Only as Safe as Its Weakest Model

FAR.AI announced an AI Security Leaderboard testing frontier-model safeguards under identical conditions, tying the launch to a shared security floor (“Minimal Standard for Safeguards”).

↗
Jul 28, 2026 · Official · FAR.AI News/BlogSeoul Alignment Workshop 2026: What We Learned

FAR.AI reported on the Seoul Alignment Workshop 2026, describing it as a step toward turning AI safety into an engineering discipline and highlighting perceived measurement gaps.

↗
Jun 30, 2026 · Official · FAR.AI News/BlogScaling Trends for Lie Detector Oversight in Preference Learning

FAR.AI described scaling a lie-detector oversight protocol (SOLiD) in preference learning, reporting an observed trend that undetected deception drops as models grow and as trusted labelers can be removed, subject to detector training-data coverage assumptions.

↗
May 31, 2026 · Official · FAR.AI News/BlogAViD Workshop 2026

FAR.AI recap post for the AViD Workshop (co-hosted with the Center for AI Safety), centered on technical foundations for verifying AI systems from training to deployment.

↗
May 11, 2026 · Official · FAR.AI News/BlogSecurity Stress Test: Exposing the Brittleness of DeepSeek-V4-Pro’s Safeguards

FAR.AI reported results of a stress test on DeepSeek-V4-Pro’s safeguards across multiple high-risk domains, describing high success rates for bypass attempts and noting a jailbreak from a predecessor model that allegedly transferred without modification.

↗
May 11, 2026 · Official · FAR.AI News/BlogControlConf 2026: What is AI control and how has the field grown?

FAR.AI described ControlConf 2026 (co-hosted with Redwood Research), stating the workshop involved mapping how the AI control field has grown and where gaps remain.

↗
Apr 27, 2026 · Official · FAR.AI News/BlogTechnical Innovations for AI Policy 2026: What We Heard, and What It Means

FAR.AI posted a recap/summary of the second Technical Innovations for AI Policy conference, discussing whether evaluations, standards, and safety frameworks can keep pace with AI capabilities.

↗
Show 4 earlier updates
Mar 17, 2026 · Official · FAR.AI News/BlogLondon Alignment Workshop 2026

FAR.AI posted an item about its London Alignment Workshop 2026, describing it as addressing the verification gap between frontier AI capabilities and the field’s ability to verify safety.

↗
Feb 02, 2026 · Official · FAR.AI News/BlogFAR.AI Selected to Lead EU AI Act CBRN Risk Consortium

FAR.AI reported selection to lead a consortium focused on technical safety research for implementing CBRN-related risk elements under the EU AI Act (as described on FAR.AI’s news page).

↗
Jan 14, 2026 · Official · FAR.AI News/BlogFAR.AI Secures Over $30 Million in Multi-Funder Support to Scale Frontier AI Safety Research

FAR.AI announced multi-funder support over $30M in commitments for 2025, listing principal supporters and describing programmatic uses including research scaling and field-building expansion.

↗
Nov 04, 2025 · Official · FAR.AI News/BlogAdam Gleave Named Schmidt Sciences AI2050 Early Career Fellow

FAR.AI posted an update that its co-founder and CEO, Adam Gleave, was named a Schmidt Sciences AI2050 Early Career Fellow (as described in the post).

↗
Source map · 2 recurring channels · 48 references
FAR.AIOfficial Site · monitor↗MTS Frontier / Control RoomCurated Feed · monitor↗demo.far.aiOfficial Reference · reference↗Official organization sourceOfficial Reference · reference↗sec.govRegulatory · reference↗absorb.mdReporting · reference↗agportal-s3bucket.s3.us-west-2.amazonaws.comReporting · reference↗aiwiki.aiReporting · reference↗angelresourceinstitute.orgReporting · reference↗app.grantmaking.aiReporting · reference↗arxiv.orgReporting · reference↗berkeleyca.govReporting · reference↗cbinsights.comReporting · reference↗cia.govReporting · reference↗coefficientgiving.orgReporting · reference↗digg.comReporting · reference↗en.wikipedia.orgReporting · reference↗files.eric.ed.govReporting · reference↗foresight.orgReporting · reference↗futureoflife.orgReporting · reference↗github.comReporting · reference↗gleave.meReporting · reference↗globenewswire.comReporting · reference↗grantmaking.aisafety.comReporting · reference↗grants.watchReporting · reference↗impala.digitalReporting · reference↗instalker.orgReporting · reference↗investors.ff.comReporting · reference↗labscompanies.comReporting · reference↗lemonde.frReporting · reference↗linkedin.comReporting · reference↗longtermwiki.comReporting · reference↗nationalacademies.orgReporting · reference↗openreview.netReporting · reference↗pmc.ncbi.nlm.nih.govReporting · reference↗prnewswire.comReporting · reference↗rdrr.ioReporting · reference↗reddit.comReporting · reference↗seedtable.comReporting · reference↗socialectric.comReporting · reference↗sotwe.comReporting · reference↗spf.orgReporting · reference↗spyvc.comReporting · reference↗static1.squarespace.comReporting · reference↗twitter.comReporting · reference↗twstalker.comReporting · reference↗w.twstalker.comReporting · reference↗web-cdn.bsky.appReporting · reference↗ww.twstalker.comReporting · reference↗80,000 Hours organization boardDataset · reference↗

Still resolving: Newsroom · Official X

Funding

Latest disclosed valuationNot disclosed
Tracked capital$59.2M4 sourced rounds
DateRoundRaisedValuationLead / investorsEvidence
Sep 14, 2025Grant (General Support / research & field-building)$28.7M—
Not attributed
+1 investor
Jul 09, 2023Grant (General Support)$460K—
Not attributed
+1 investor
Dec 05, 2022Grant (research)$50K—
Not attributed
+1 investor

What it builds

AI Security Leaderboard

FAR.AI’s AI Security Leaderboard is presented as an evaluation of frontier-model safeguards under comparable conditions, intended to measure how securely models resist attacks; it is associated with FAR.AI’s “Minimal Standard for Safeguards.”

source ↗
FAR.Labs

FAR.AI’s FAR.Labs is a Berkeley coworking/research hub that hosts community members working on AI safety and serves as a place for field-building activities and technical collaboration.

source ↗
STACK (Adversarial Attacks on LLM Safeguard Pipelines)

STACK is a named adversarial attack method within FAR.AI’s research on breaking “defense-in-depth” safeguard pipeline strategies for LLMs, with results reported for bypassing multi-layer defenses in specified scenarios.

source ↗

Milestones & partnerships