Civic Intelligence

Chalearn

990EZ • Fiscal year 2024 • EIN 45-3085009

Jan 01, 2024 to Dec 31, 2024 • Filed on May 02, 2025

2443 Fillmore St / PMB 380-6329San Francisco, CA 94115-1814

(510) 329-2527

Siviq Scores

Precomputed percentiles for this filing year versus similar nonprofits in the same peer cohort.

Liabilities / Assets

56th percentile

0.00x

Tied with the lowest-debt nonprofits in its peer group.

2024 filings • 501(c)3 • <$500k nonprofits • Source year 2024

Liabilities / Revenue

57th percentile

0.00x

Tied with the lowest-debt nonprofits in its peer group.

2024 filings • 501(c)3 • <$500k nonprofits • Source year 2024

Net Margin

68th percentile

15%

Higher net margin than 68% of similar nonprofits.

2024 filings • 501(c)3 • <$500k nonprofits • Source year 2024

Top Officer Pay

79th percentile

$0

Higher top officer pay than 79% of similar nonprofits.

Top officer pay equals 0.0% of source-year revenue.

2024 filings • 501(c)3 • <$500k nonprofits • Source year 2024

Asset Growth

80th percentile

34%

Faster asset growth than 80% of similar nonprofits.

2024 filings • 501(c)3 • <$500k nonprofits • Annualized from 2023 to 2024

Revenue Growth

48th percentile

1.6%

Faster revenue growth than 48% of similar nonprofits.

2024 filings • 501(c)3 • <$500k nonprofits • Annualized from 2023 to 2024

Assets

Up

$112,731

Up $28,592 (+34%) from 2023

Net Assets

Up

$112,731

Up $28,592 (+34%) from 2023

Liabilities

Flat

$0

Flat from 2023

Revenue

Up

$192,000

Up $3,000 (+1.6%) from 2023

Expenses

Down

$163,408

Down $18,944 (-10%) from 2023

Net Income

Up

$28,592

Up $21,944 (+330%) from 2023

Historical Trend

Balance Sheet Trend

The highlighted filing sits inside the broader history for assets, liabilities, and net assets.

$200K$150K$100K$50K$0Assets 2012: $4,013Liabilities 2012: $02012Assets 2013: $32,564Liabilities 2013: $02013Assets 2014: $101,315Liabilities 2014: $02014Assets 2015: $81,118Liabilities 2015: $02015Assets 2016: $45,954Liabilities 2016: $02016Assets 2017: $90,585Liabilities 2017: $02017Assets 2018: $91,725Liabilities 2018: $02018Assets 2019: $149,155Liabilities 2019: $02019Assets 2020: $173,106Liabilities 2020: $02020Assets 2021: $134,139Liabilities 2021: $0Net Assets 2021: $134,1392021Assets 2022: $77,491Liabilities 2022: $0Net Assets 2022: $77,4912022Assets 2023: $84,139Liabilities 2023: $0Net Assets 2023: $84,1392023Assets 2024: $112,731Liabilities 2024: $0Net Assets 2024: $112,7312024

Highlighted filing

2024

Assets$112,731
Liabilities$0
Net Assets$112,731

Operations Trend

Revenue, expenses, and net income across loaded years, with this filing highlighted.

$200K$100K$0-$100KRevenue 2012: $87,568Expenses 2012: $83,555Net Income 2012: $4,0132012Revenue 2013: $67,522Expenses 2013: $39,795Net Income 2013: $27,7272013Revenue 2014: $88,578Expenses 2014: $19,827Net Income 2014: $68,7512014Revenue 2015: $11,511Expenses 2015: $31,708Net Income 2015: -$20,1972015Revenue 2016: $7,126Expenses 2016: $42,291Net Income 2016: -$35,1652016Revenue 2017: $91,537Expenses 2017: $46,906Net Income 2017: $44,6312017Revenue 2018: $75,700Expenses 2018: $74,559Net Income 2018: $1,1412018Revenue 2019: $125,093Expenses 2019: $67,662Net Income 2019: $57,4312019Revenue 2020: $111,217Expenses 2020: $87,265Net Income 2020: $23,9522020Revenue 2021: $13,485Expenses 2021: $52,453Net Income 2021: -$38,9682021Revenue 2022: $4,980Expenses 2022: $64,187Net Income 2022: -$59,2072022Revenue 2023: $189,000Expenses 2023: $182,352Net Income 2023: $6,6482023Revenue 2024: $192,000Expenses 2024: $163,408Net Income 2024: $28,5922024

Highlighted filing

2024

Revenue$192,000
Expenses$163,408
Net Income$28,592
Jump To
Filing Snapshot
Filing Period
Jan 1, 2024 to Dec 31, 2024
Signed
May 2, 2025
Return Version
2024v5.0
Gross Receipts
$192,000
Mission and Program Overview

Mission

Educate the public with scientific competitions and related events

Program Services

DescriptionGrantsExpenses
FAIR UNIVERSE: This is a program in collaboration with Lawrence Berkeley Labs: https://fair-universe.lbl.gov/. The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning. ChaLearn sponsors a PhD student and a freelance engineer. The expenses this include the salary of the PhD student (via a donation made to Université Paris-Saclay), and the fees paid to an engineer consultant. We also incurred $10 of bank fees.$0$132,033
LAP PROGRAM: The Looking at People (LAP) challenge seres in computer vision is organized in collaboration with Universitat Barcelona https://chalearnlap.cvc.uab.cat/. This year we sponsored the Face anti-spoofing, CVPR 2024 https://sites.google.com/view/face-anti-spoofing-challenge/welcome/challengecvpr2024 challenge.$19,822$0
PAPER REVIEW: This is a new program on automated reviews of scientific papers. https://blog.neurips.cc/2024/12/10/results-of-the-neurips-2024-experiment-on-the-usefulness-of-llms-as-an-author-checklist-assistant-for-scientific-papers/. This year we helped benchmarking the capabilities of LLMs to assist authors with verifying the conference checklist.$0$11,553
CODALAB COMPETITIONS: This program sponsors the development of competition platforms. This year, we continued consolidating new benchmark platform codabench.org. Codalab competitions has been featured for the second time FIRST in a blog, before Kaggle and Tianchi: https://mlcontests.com/state-of-competitive-machine-learning-2024. The code is open-sourced: https://github.com/codalab/codalab-competitions/issues. We are editing a book on challenges and benchmarks: https://sites.google.com/chalearn.org/book/home.$0$0
MEDICHAL: This program organizes student challenges to educate them in health informatics. This year we wrapped up papers we had started.$0$0
Compensation and Service Providers

Employees

NameTitleFull / Part TimeBaseOtherTotal
Kristin BennettTreasurer, Director-$0--
Anne-Catherine LetournelSecretary, Director-$0--
Sergio EscaleraVice-President, Director-$0--
Isabelle GuyonPresident-$0--
Hugo-Jair Escalante BalderasDirector-$0--
Antoine MarotDirector-$0--
Magali RichardDirector-$0--
David RousseauDirector-$0--
Sebastien TreguerDirector-$0--
Evelyne ViegasDirector-$0--
Filing and Contact Details

Filer

Filer Name
Chalearn
EIN
45-3085009
Phone
5103292527
Address
2443 Fillmore St / PMB 380-6329, San Francisco, CA 94115-1814

Signing Officer

Name
Isabelle Guyon
Title
President
Phone
5103292527
Signed
2025-05-02
Supplemental Narrative

Additional Explanations

Form 990-EZ, Part I, Line 10

Competition prizes for LAP challenge CVPR 2024.

Form 990-EZ, Part I, Line 16

Bank fees

Raw XML Appendix238 raw XML fields

This appendix keeps the raw XML leaves available for debugging and edge-case review. The human report above is the primary experience.

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IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt0CODALAB COMPETITIONS: This program sponsors the development of competition platforms. This year, we continued consolidating new benchmark platform codabench.org. Codalab competitions has been featured for the second time FIRST in a blog, before Kaggle and Tianchi: https://mlcontests.com/state-of-competitive-machine-learning-2024. The code is open-sourced: https://github.com/codalab/codalab-competitions/issues. We are editing a book on challenges and benchmarks: https://sites.google.com/chalearn.org/book/home.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt1LAP PROGRAM: The Looking at People (LAP) challenge seres in computer vision is organized in collaboration with Universitat Barcelona https://chalearnlap.cvc.uab.cat/. This year we sponsored the Face anti-spoofing, CVPR 2024 https://sites.google.com/view/face-anti-spoofing-challenge/welcome/challengecvpr2024 challenge.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt2FAIR UNIVERSE: This is a program in collaboration with Lawrence Berkeley Labs: https://fair-universe.lbl.gov/. The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning. ChaLearn sponsors a PhD student and a freelance engineer. The expenses this include the salary of the PhD student (via a donation made to Université Paris-Saclay), and the fees paid to an engineer consultant. We also incurred $10 of bank fees.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt3MEDICHAL: This program organizes student challenges to educate them in health informatics. This year we wrapped up papers we had started.
IRS990EZ/ProgramSrvcAccomplishmentGrp/DescriptionProgramSrvcAccomTxt4PAPER REVIEW: This is a new program on automated reviews of scientific papers. https://blog.neurips.cc/2024/12/10/results-of-the-neurips-2024-experiment-on-the-usefulness-of-llms-as-an-author-checklist-assistant-for-scientific-papers/. This year we helped benchmarking the capabilities of LLMs to assist authors with verifying the conference checklist.
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Document Assets

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Filings

Peer Organizations

Similar nonprofits based on the same Siviq industry and scale cohort. 2024 filings • 501(c)3 • <$500k nonprofits