NeurIPS

What NeurIPS does

NeurIPS is the non-profit organization that operates the world's most prestigious annual conference on neural information processing systems, founded in 1987 and now in its 40th edition (NeurIPS 2026 in Sydney, with satellites in Atlanta and Paris). It runs an interdisciplinary program spanning machine learning, computational neuroscience, statistics, optimization, computer vision, NLP, and life sciences, structured around a Main Track plus specialized tracks for Datasets and Benchmarks, Position Papers, Competitions, Tutorials, Workshops, Demonstrations, Creative AI, and (new in 2026) Reproducibility. Paper submissions, double-blind peer review, author responses, and post-publication discussion are managed through the OpenReview platform, and accepted papers are archived permanently in the open-access NeurIPS Proceedings.

The foundation is a California 501(c)(3) non-profit governed by a board led by Terrence Sejnowski (President) and supported by academic and industry leaders including General Chairs Hsuan-Tien Lin (National Taiwan University) and Razvan Pascanu (Google DeepMind, Mila) for the 2026 edition. Revenue is generated through three principal streams: paid attendee registration (tiered across student, academic, and industry, with early-bird and standard pricing), sponsor and exhibitor fees collected via a dedicated sponsor portal, and ancillary fees from post-conference workshops and tutorials held at satellite resort locations. It serves three primary constituencies: academic AI/ML researchers who submit and present peer-reviewed work; industry AI/ML practitioners from major technology firms (Google DeepMind, Meta, Microsoft, Amazon, NVIDIA) who attend for research monitoring and recruiting; and graduate students in AI/ML seeking education and career visibility.

In 2026 the conference confronted a significant geopolitical controversy when an overly broad US sanctions policy link in the conference handbook prompted boycotts by China's CAST and CCF; the foundation publicly apologized, corrected the policy to align with ACM and IEEE standards, and reaffirmed open participation. The organization has also publicly grappled with quality control issues at scale, including a 2025 GPTZero analysis identifying 100+ AI-hallucinated citations in accepted NeurIPS 2025 papers. The foundation itself maintains a small permanent headcount (1-10 reported), with the annual conference execution depending on a large volunteer organizing committee drawn from leading global institutions.

Name

NeurIPS

Legal name

Neural Information Processing Systems Foundation

Website

https://neurips.cc

Company type

Private

Founded year

1987

Operating status

Operating

Headcount range

1–10 employees

Short description

NeurIPS is a California 501(c)(3) non-profit that operates the annual NeurIPS conference on neural information processing systems, serving academic AI/ML researchers, industry practitioners, and graduate students worldwide through peer-reviewed papers, workshops, and tutorials managed via OpenReview.

Ownership category

akta.pro rank

Product category

Academic AI/ML Research Conference

NAICS

Educational Support Services (61171)

akta.pro primary industry

Scholarly Societies & Conference Proceedings Publishing (MPAJABAK)

Keywords

• Academic AI conference
• Machine learning research
• Neural information processing
• AI research publication
• Peer-reviewed proceedings

Headquarters

HQ city

San Diego

HQ country

United States

HQ region

North America

Offices5 records

Markets served

GTM type

B2B and B2C

Offering type

Services

Cost components

Operations, Personnel, Marketing or Sales, Technology or R&D, Others

Revenue model

1. Conference Registration Fees: Attendees pay registration fees to participate in the conference, with early-bird and standard pricing tiers. Registration covers access to talks, poster sessions, workshops, tutorials, and the expo.
2. Sponsor and Exhibitor Fees: Technology companies and organizations sponsor and exhibit at NeurIPS, paying fees for visibility, booth space, and sponsorship tiers. Sponsors include major AI/ML companies.
3. Workshop and Tutorial Fees: Post-conference workshops held in satellite locations (Whistler, etc.) generate additional registration revenue.

Go-to-market motion1 record

Distribution channels4 records

Marketing channels5 records

Core offering

NeurIPS is the annual flagship interdisciplinary academic conference on neural information processing systems, machine learning, and computational neuroscience, hosting peer-reviewed paper presentations, invited talks, tutorials, workshops, and demonstrations. The conference is organized around multiple parallel tracks (Main, Datasets & Benchmarks, Position Papers, Reproducibility, Competitions, Creative AI) with paper submissions and double-blind peer review managed through the OpenReview platform. Accepted papers are published in the permanent open-access NeurIPS Proceedings archive, and the event has expanded to main and satellite venues worldwide.

Product overview

NeurIPS (Neural Information Processing Systems) is a non-profit organization that operates as an annual interdisciplinary academic conference, not a traditional SaaS product company. The core offering is the NeurIPS Annual Conference, which features multiple parallel tracks including the Main Track for research papers, Datasets and Benchmarks Track, Position Papers Track, Reproducibility Track, Creative AI Track, and Competitions Track. Supporting programs include Tutorials (one-day pre-conference sessions), Workshops (post-conference informal forums), Demonstrations (live technology showcases), and Mini-Symposia (structured topical sessions). Paper submissions and peer review are managed through the OpenReview platform, and accepted papers are archived in the NeurIPS Proceedings. The conference has evolved from a single-track event to a multi-track program with satellite locations, maintaining rigorous double-blind reviewing standards.

Differentiator

Problem solved

Functional benefit

Products and services

• NeurIPS Annual Conference The flagship annual interdisciplinary academic conference bringing together researchers in machine learning, neuroscience, statistics, optimization, computer vision, natural language processing, and adjacent fields. Features invited talks, oral and poster presentations of peer-reviewed papers, workshops, tutorials, demonstrations, and satellite venues. The 2026 edition is held in Sydney (main, Dec 6–12) with satellites in Atlanta and Paris (Dec 9–13). Targeted at academic AI/ML researchers, industry practitioners, and graduate students.
• NeurIPS Proceedings Archive Published permanent open-access archive of all accepted conference papers across all NeurIPS editions, providing public access to decades of peer-reviewed AI/ML research. Serves as a continuously growing knowledge repository for the global research community.
• Sponsor & Exhibitor Packages Tiered corporate sponsorship and exhibitor packages that provide companies with booth space, visibility at the conference, and access to attendees for AI talent recruiting and brand positioning. Sold to technology companies and AI research labs via a dedicated sponsor portal.

Quantifiable outcome

• Over 4,000 papers presented at NeurIPS 2025 alone
• +1 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature3 records

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• ACL (Association for Computational Linguistics): ACL is the top NLP research conference, drawing many of the same industry sponsors and ML researchers as NeurIPS; NLP is one of NeurIPS's largest tracks, making ACL a direct competitor for those submissions.
• ICLR (International Conference on Learning Representations): ICLR is a top-tier deep-learning conference that directly competes with NeurIPS for cutting-edge representation learning papers and the same pool of academic and industry researchers, with open-review-style transparency through OpenReview.
• AISTATS (Artificial Intelligence and Statistics): AISTATS focuses on the intersection of AI and statistics, overlapping with NeurIPS's theoretical and statistical ML tracks and drawing from the same pool of academic researchers.
• CVPR (Computer Vision and Pattern Recognition): CVPR is the premier computer vision conference, drawing many of the same academic and industry ML researchers as NeurIPS and competing for sponsorship dollars from the same set of AI-focused tech companies.
• AAAI Conference on Artificial Intelligence: AAAI is one of the broadest AI conferences covering machine learning, search, vision, NLP, and reasoning; it overlaps materially with NeurIPS's submission pool and audience and is run by a large scholarly society with similar proceedings publishing.
• ICML (International Conference on Machine Learning): ICML is the other flagship general ML research conference, annually competing with NeurIPS for the same top-tier paper submissions, sponsors, and attendees. It serves the same academic and industry ML community and operates a similar double-blind peer review process.
• UAI (Conference on Uncertainty in Artificial Intelligence): UAI is a long-running specialized AI conference focused on probabilistic methods, overlapping with the theoretical ML track of NeurIPS and pulling from a similar academic audience.
• EMNLP (Empirical Methods in Natural Language Processing): EMNLP is a major NLP conference that competes directly with NeurIPS's growing language-and-multimodal research community, attracting similar industry sponsors and overlapping authorship.
• KDD (Conference on Knowledge Discovery and Data Mining): KDD is the leading data mining and applied ML conference that overlaps significantly with NeurIPS in industry practitioners, applied ML papers, and corporate sponsorship, and publishes proceedings through a similar scholarly-society model.

Broad incumbents

• ACM (Association for Computing Machinery): ACM is the larger scholarly society that publishes many of the field's top conferences and journals, including overlapping ML venues. While ACM as a whole is a broad incumbent, its ML-family conferences compete with NeurIPS for prestige, authors, and library subscriptions.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/neuripsconf
• LinkedInlinkedin.com/company/nipsconference

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about NeurIPS