AI Standards Lab
AI Standards Lab is an independent nonprofit research organization (~5 FTEs) that accelerates AI safety standards development through published research papers, regulatory frameworks, and consultation responses to standards bodies, regulators, and AI developers.
- Company typePrivate
- Founded2023
- HeadquartersVirtual / Global
- Headcount1–10
- GTM typeB2B
- OfferingServices
What AI Standards Lab does
AI Standards Lab (AISL) is an independent US nonprofit research organization founded in November 2023 and incorporated in Delaware in April 2024. Its mission is to accelerate the writing of AI safety standards by producing research, technical frameworks, and consultation responses for regulators, standards bodies, and AI developers. AISL does not sell a product; its commercial counterparties are absent by design. Instead, the organization operates as a virtual lab of approximately five full-time equivalents distributed across the Netherlands, Spain, Lithuania, Belgium, and Malaysia, funded entirely by charitable grants routed through its fiscal sponsor, Players Philanthropy Fund, Inc.
The organization's core output is a portfolio of publicly released frameworks and reports. These include the GPAI Risk Sources and Risk Management Measures Catalogue (the most extensive public-domain compilation of its kind, submitted as a 150-page technical contribution to the GPAI Code of Practice), a Benchmark Deprecation Framework, a Quality Scorecard for AI Evaluations, an AI Incident Governance Framework, and an AI Model/System Boundary framework. All outputs are released under public-domain license and disseminated through the AISL website, arXiv, LinkedIn, and direct regulatory submissions. The lab's go-to-market is content-led and community-led: influence is built through authorship of standards-grade work and sustained participation in standards bodies such as CEN-CENELEC JTC21, the European Commission's consultations, the EU AI Office's GPAI Code of Practice process, and NIST's AI 800-2 working drafts.
AISL serves four primary stakeholder groups: regulated AI developers and GPAI providers needing compliance guidance, standards bodies and regulatory authorities requiring technical expertise, policymakers seeking legislative analysis, and AI safety researchers and civil society organizations consuming its open frameworks. The organization has no revenue from sales, no disclosed funder list, and operates at a scale where its entire operating budget is plausibly under $1M annually, with strategic significance measured by influence rather than revenue.
AI Standards Lab firmographics
Firmographics- Name
- AI Standards Lab
- Legal name
- AI Standards Lab, Inc.
- Website
- https://aistandardslab.org
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- AI Standards Lab is an independent nonprofit research organization (~5 FTEs) that accelerates AI safety standards development through published research papers, regulatory frameworks, and consultation responses to standards bodies, regulators, and AI developers.
- Ownership category
- akta.pro rank
AI Standards Lab industry classification
Industry- Product category
- AI Safety Policy Research & Standards Advisory
- NAICS
- Testing Laboratories and Services (54138)
- SIC
- Services-Commercial Physical & Biological Research (8731)
- akta.pro primary industry
- Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)
- akta.pro secondary industries
- AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)
Keywords
Where AI Standards Lab is headquartered
LocationHeadquarters
- HQ city
- Virtual / Global
Offices1 record
Markets served
AI Standards Lab business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Charitable Grants: AI Standards Lab is funded entirely by charitable grants. Contributions are tax-deductible to donors in the US under Section 501(c)(3) of the Internal Revenue Code through the organization's fiscal sponsor, Players Philanthropy Fund, Inc. No commercial revenue streams are described.
Go-to-market motion1 record
Distribution channels2 records
Marketing channels6 records
AI Standards Lab product offering
Product offeringCore offering
AI Standards Lab is an independent, non-profit research organization that produces research papers, technical frameworks, and policy consultation responses to accelerate the development of AI safety standards. It contributes directly to EU AI Act implementation, the General-Purpose AI Code of Practice, CEN-CENELEC standards, and NIST guidelines on AI safety engineering, risk management, and incident governance.
Product overview
AI Standards Lab is an independent nonprofit research organization dedicated to accelerating the development of AI safety standards. Rather than offering a traditional software product, the organization produces a portfolio of intellectual outputs including research papers and reports on AI safety engineering and governance; technical consultation responses to regulatory bodies such as the European Commission and NIST; contributions to standards development documents including the EU AI Act's General-Purpose AI Code of Practice; and policy recommendations and white papers. These offerings collectively support AI safety engineers, policymakers, and organizations seeking to understand or comply with AI safety standards and regulations.
Differentiator
Problem solved
Functional benefit
Products and services
- GPAI Risk Sources and Risk Management Catalogue
- Benchmark Deprecation Framework
- Quality Scorecard for AI Evaluations
- AI Incident Governance Framework
- GPAI Code of Practice Contributions
- Agentic Product Maturity Ladder (with MLCommons)
Quantifiable outcome
- AISL's GPAI risk catalogue was submitted as a 150-page technical contribution intended for direct inclusion in the GPAI Code of Practice
- +2 more outcomes
Companies that use AI Standards Lab
Customer profileSegments5 records
Ideal customer profiles3 records
AI Standards Lab technology and API
TechnologyTechnology focussed No
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature4 records
AI Standards Lab partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered major, core and minor.
- MLCommons AI Risk and Reliability Working GroupmajorAISL (through Rokas Gipiškis and Ze Shen Chin) co-authored the Agentic Product Maturity Ladder V0.1 with MLCommons, a systematic benchmarking framework for assessing AI agent reliability across six progressive maturity levels (R0–R5).
- Oxford Martin AI Governance InitiativemajorAISL (through Koen Holtman) co-authored research comparing Frontier Safety Frameworks with international risk management standards with the Oxford Martin AI Governance Initiative. AISL also contributed team members (Rokas Gipiškis, Ze Shen Chin, Ariel Gil) to a separate Oxford Martin paper mapping industry practices to the GPAI Code of Practice Safety and Security Measures.
- Oxford Martin AI Governance InitiativemajorAISL contributed co-authors (Rokas Gipiškis, Ze Shen Chin, Ariel Gil) to an Oxford Martin AI Governance Initiative publication comparing safety and security measures in the GPAI Code of Practice against voluntary commitments from over a dozen leading AI companies including OpenAI, Anthropic, Google DeepMind, Microsoft, Meta, and Amazon.
- European Commission / EU AI OfficecoreAISL has provided sustained technical input to the European Commission and EU AI Office through multiple rounds of consultation on GPAI guidelines, high-risk AI classification, serious incident reporting, European standardisation, and the Digital Omnibus. AISL submitted a 150-page technical contribution of GPAI risk sources and risk management measures intended for direct inclusion in the GPAI Code of Practice.
- SPAR (Supervised Program for Alignment Research)minorAISL has collaborated with SPAR (sparai.org) on research projects including the AI model and AI system boundary framework and the AI incident governance paper. SPAR's programme and infrastructure support made certain research possible. AISL researchers served as mentors and co-mentors on these projects.
- CEN-CENELEC JTC21coreAISL participates in the CEN-CENELEC JTC21 technical committee responsible for developing harmonised standards under the EU AI Act. Contributions to standards development are confidential under committee rules. AISL has also submitted input on the future of European standardisation to the European Commission based on its direct JTC21 experience.
- NIST (National Institute of Standards and Technology)coreAISL submitted feedback to NIST on draft AI 800-2 on Best Practices for Automated Benchmark Evaluations, recommending benchmark lifecycle management, deprecation criteria, versioning requirements, and annotation quality checks. The submission drew on AISL's peer-reviewed deprecation framework paper.
- Players Philanthropy Fund, Inc.coreAISL operates as a Delaware non-profit corporation through a fiscal sponsorship with Players Philanthropy Fund, Inc., a Texas nonprofit corporation recognized by the IRS as a tax-exempt public charity under Section 501(c)(3). This fiscal sponsorship arrangement enables AISL to receive tax-deductible charitable contributions and maintain non-profit status.
Scale indicators4 records
Recent moves7 records
Expansion highlights5 records
AI Standards Lab competitors and assessment
Company assessmentDirect peers
- MLCommons: Open engineering consortium that operates AI benchmarks, safety working groups, and reliability standards such as the AI Risk and Reliability framework. Comparable as a nonprofit producing technical standards and evaluation infrastructure relevant to AI safety governance.
- Oxford Martin AI Governance Initiative: University-based research program producing frontier AI policy and governance research. Already an active co-authoring partner of AISL; comparable as a producer of AI governance research that informs standards and regulatory frameworks.
- Center for AI Safety: Independent AI safety research organization producing technical research and policy analysis on frontier AI risks, including influential work on AI risk evaluation and policy frameworks. Directly comparable as a mission-driven nonprofit contributing technical input to AI governance conversations.
- Future of Life Institute: Nonprofit focused on reducing existential risk from advanced AI, producing policy briefs, the AI Safety Summit dialogue, and grants to AI safety research organizations. Comparable as a mission-driven entity influencing AI governance and standards processes through research and advocacy.
- AI Now Institute: Policy research institute producing reports and briefs on AI governance, accountability, and regulatory frameworks. Highly comparable as a nonprofit producing research that informs AI regulation and standards, though with more emphasis on social-impact and civil-society issues than technical standards.
- Ada Lovelace Institute: UK-based independent research institute focused on AI ethics, governance, and regulatory frameworks. Directly comparable as an independent research nonprofit producing analysis that informs AI regulation and standards bodies, particularly the UK AI Safety Institute.
- Partnership on AI: Multi-stakeholder nonprofit convening industry, civil society, and academia to develop AI best practices and frameworks. Comparable as a research and standards-oriented nonprofit, though with more industry-sponsorship orientation than AISL's regulator-facing approach.
Broad incumbents
- Carnegie Endowment for International Peace — AI Policy Program: Established foreign-policy think tank with an AI-focused program producing policy analysis on AI governance, regulation, and international coordination. Comparable in producing research that informs AI standards, but with substantially broader geopolitical and diplomatic scope.
- Stanford Institute for Human-Centered AI (HAI): Large, well-funded interdisciplinary institute producing AI policy research, index reports, and convenings. Overlaps with AISL in the AI governance and standards research space but operates at substantially greater scale and broader scope including industry and societal impact.
Others
- AI Security Institute (UK AISI): UK government body conducting AI safety evaluations and producing technical guidance relevant to AI safety standards. Comparable as a producer of authoritative AI safety research that informs standards, though operating as a government agency rather than independent nonprofit.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks2 records
Key highlights6 records
Customer concentration
AI Standards Lab social profiles
Digital presenceAI Standards Lab financial estimates
Financial estimateRevenue estimate
Valuation estimate
AI Standards Lab leadership team
Management profileNumber of profiles
Profiles8 records
AI Standards Lab funding detail
Funding detailFunding overview
Funding rounds
Investors
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AI Standards Lab M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about AI Standards Lab
What does AI Standards Lab do?
AI Standards Lab is an independent, non-profit research organization that produces research papers, technical frameworks, and policy consultation responses to accelerate the development of AI safety standards. It contributes directly to EU AI Act implementation, the General-Purpose AI Code of Practice, CEN-CENELEC standards, and NIST guidelines on AI safety engineering, risk management, and incident governance.
Is AI Standards Lab a public or private company?
AI Standards Lab is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was AI Standards Lab founded?
AI Standards Lab was founded in 2023. It employs 1 to 10 people.
Where is AI Standards Lab based?
AI Standards Lab is headquartered in Virtual / Global.
How does AI Standards Lab make money?
One revenue line is on record: charitable Grants.
Who are AI Standards Lab's main competitors?
Direct peers on record are MLCommons, Oxford Martin AI Governance Initiative, Center for AI Safety, Future of Life Institute, AI Now Institute, Ada Lovelace Institute and Partnership on AI. Broad incumbents are Carnegie Endowment for International Peace — AI Policy Program and Stanford Institute for Human-Centered AI (HAI). AI Security Institute (UK AISI) is listed as an others.
Does AI Standards Lab have an API?
No public API is recorded for AI Standards Lab.
What industry is AI Standards Lab in?
AI Standards Lab's product category is AI Safety Policy Research & Standards Advisory. Its primary akta.pro industry code is HDAAAMAE, Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001), with a secondary code of HDAAAMAA, AI Governance, Risk & Compliance (GRC) Platforms. Its NAICS code is 54138 and its SIC code is 8731.