Ecosystem/Apart Research

Apart Research

NonprofitPreliminary

Runs AI safety research hackathons, sprints, and collaborative research events. Builds community and entry points for researchers new to AI safety.

HQDE
Est2023
apartresearch.com
Score
39.6 / 100
Confidence
Preliminary

Developing safety practices - core foundations in place with room for improvement.

Strengths:External Engagement
Weaknesses:Governance Maturity, Technical Safety, Risk Assessment, Regulatory Readiness
Competitive positioning

Complementary to BlueDot (education). Focuses on research community building. No direct competitor for AI safety hackathons.

Key risk

Event-dependent model. Limited institutional durability compared to permanent research organisations.

Enterprise traction

Active research community. No revenue.

Safety area

Field Building

Enterprise business needs
Train the next generation

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
42
TS-01dim: 45
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 45
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 38
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 38
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 38
Incident History & Track Record
Past incidents and response quality
EE-04dim: 55
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
Apart Research incident records sourced from AIAAIC Repository and public reporting.
Integration: AIAAIC, OECD AI Incidents Monitor
Third-Party Audits
External audit reports, SOC 2 attestations, and ISO certifications verified where published.
Sources: Company filings, registry lookups
CVE & Disclosures
Known vulnerabilities and security advisories from NVD, GitHub Security Advisories, and vendor pages.
Sources: NVD, GHSA, vendor disclosure pages

Dimension Breakdown

GM
Governance Maturitypreliminary
Published policies, corporate structure, safety mandate, whistleblowing, executive commitment.
42
TS
Technical Safetypreliminary
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
45
RA
Risk Assessmentpreliminary
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
38
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
18
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
55

Social Impact & Safety Profile

Moderate

Apart Research organises AI safety hackathons and research sprints that engage a broad community of researchers. Their collaborative model accelerates safety research and lowers barriers to entry for new researchers.

collaborative researchhackathonscommunity building

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