Ecosystem/Epoch AI

Epoch AI

NonprofitPreliminary

Tracks and forecasts AI capabilities by analysing compute trends, training runs, and benchmark progress. The definitive source for 'how fast is AI progressing?' data.

HQUS
Est2022
epoch.ai
Score
44.0 / 100
Confidence
Preliminary

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

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

Monopoly on AI progress tracking data. No competitor provides this level of compute and capability trend analysis. Cited by governments, labs, investors.

Key risk

Nonprofit model. Data is freely available, so there's no obvious path to revenue even though the data is extremely valuable.

Enterprise traction

Data cited globally. No commercial customers.

Safety area

Evaluations & Benchmarking

Enterprise business needs
Train the next generation

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
45
TS-01dim: 50
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 50
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 40
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 40
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 40
Incident History & Track Record
Past incidents and response quality
EE-04dim: 65
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
Epoch AI 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.
45
TS
Technical Safetypreliminary
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
50
RA
Risk Assessmentpreliminary
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
40
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
20
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
65

Social Impact & Safety Profile

Moderate

Epoch AI tracks and forecasts AI capabilities, providing data cited in academic papers, policy documents, and media worldwide. Their work supports informed governance decisions by making AI progress transparent and measurable.

capabilities forecastingcompute governancetransparency

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