The Computer Vision Foundation Inc | Foundation Profile

GrantBay analyzes IRS Form 990-PF data to help grant seekers find fit funders like The Computer Vision Foundation Inc. Data shown is extracted from Form 990-PF filings.

EIN: 45-4007937

Foundation Overview

Based in Scarsdale, NY, The Computer Vision Foundation Inc has awarded 7 grants totaling $334,633 to organizations in New York, Massachusetts and 1 other state across the US. Individual grants range from $11,633 to $125,000, with a median award of $30,000.

Latest Tax Year
2021
Total Giving (all years)
$334,633
Total Assets
$2,950,828
Median Grant (all grants)
$30,000

Latest Form 990-PF Snapshot

Total Grants
1
Median Grant
$125,000
% Median Grant Growth
+317% (vs previous year)
Data extracted from IRS Form 990-PF filings. Last filing year: January 2022

Foundation Intelligence

Advanced analytics and strategic insights to help nonprofit organizations assess grant opportunities and optimize their application strategies

New Applicant Friendliness
Limited Sample: 0%

1 total grant. Insufficient data for reliable pattern analysis. Foundation may be highly selective or recently established.

Geographic Focus
Indiana

43% of grants are awarded in Indiana, with additional funding distributed across 2 other locations. The foundation balances regional focus with broader geographic diversity. Within Indiana, funding concentrates in Notre Dame (100%).

Funding Trajectory
+198%

Strong 198% growth in annual giving over 5 years indicates expanding philanthropic capacity and increasing opportunities for grant seekers. This upward trajectory suggests growing foundation resources and commitment.

Program Areas
General Purposes

Highly focused on general purposes with 100% of funding dedicated to this sector. This specialization indicates deep expertise and committed investment in the field.

Where is The Money Going?

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Grants & Funding

Analyzing past grantees provides valuable insights into The Computer Vision Foundation Inc's funding preferences, organizational priorities, and grant making patterns. This historical data helps potential applicants understand the foundation's strategic focus and identify successful funding approaches.

Name Amount Location Purpose Year
Arxiv Cornell University Library $125,000 Cornell Campus, NY, US Donation Of Software 2021
Univ Mass At Amherst $60,000 Amherst, MA, US Donation Of Software 2018
Universty Of Notre Dame $11,633 Notre Dame, IN, US Donation Of Software 2018
Arxiv Cornell University Library $30,000 Ithaca, NY, US Donation Of Software 2018
University Of Notre Dame $66,000 Notre Dame, IN, US Donation Of Software 2017
University Of Massachusetts $30,000 Amherst, MA, US Donation Of Software 2016
University Of Notre Dame $12,000 Notre Dame, IN, US Donation Of Software 2016

Foundations Similar to The Computer Vision Foundation Inc

Discover 5 foundations with comparable assets ($2,923,937-$2,960,692), similar grant patterns, and geographic focus in NY that may also align with your organization's funding needs and grant seeking strategy.

Foundation Name Total Assets Typical Grant Size Service Area Similarity Match

EIN: 11-2897410 | 37 grants awarded
$2,960,692
(≈ Similar)
$15,000
median grant
New City, NY
Same state
100%
Excellent match

EIN: 92-1404658 | 4 grants awarded
$2,938,601
(≈ Similar)
$31,175
median grant
New York, NY
Same state
100%
Excellent match

EIN: 51-0181016 | 62 grants awarded
$2,931,337
(≈ Similar)
$15,000
median grant
Syracuse, NY
Same state
100%
Excellent match

EIN: 82-3706425 | 64 grants awarded
$2,927,536
(≈ Similar)
$20,000
median grant
Chester, NY
Same state
100%
Excellent match

EIN: 94-3235545 | 3 grants awarded
$2,923,937
(≈ Similar)
$30,000
median grant
New York, NY
Same state
100%
Excellent match

Contact Information

Official contact details for The Computer Vision Foundation Inc as registered with the IRS. These details are essential for grant applications, correspondence, and due diligence processes.

EIN 45-4007937
Website N/A
Address 29 CHASE ROAD Scarsdale, NY 10583-9998

Key People (5)

Board members, trustees, and key staff who oversee The Computer Vision Foundation Inc's grant making decisions and strategic direction. Understanding leadership composition can provide insights into foundation priorities and potential networking opportunities.

President Ramin Zabih
Treasurer Terry Boult
Secretary Gerard Medioni
Director Melanie Oxhorn
Director Shmuel Peleg

Forms 990-PF

IRS Form 990-PF filings provide comprehensive financial information, grant details, and operational data. These documents are essential resources for understanding foundation capacity, giving patterns, and strategic priorities.

Form 990-PF Research Tips
  • Review Part XV for detailed grant recipient information and funding purposes
  • Check Part I for total assets, annual giving amounts, and payout requirements
  • Examine Part VIII for key personnel compensation and board structure
  • Look for trends across multiple years to understand giving patterns

About This Foundation Profile

This comprehensive foundation profile for The Computer Vision Foundation Inc is powered by Grant Bay's advanced foundation research platform. Our system analyzes IRS Form 990-PF filings, grant histories, and philanthropic patterns to provide nonprofit organizations with actionable intelligence for grant seeking success.

Data Sources & Accuracy

All information is derived from official IRS filings and public records. Grant Bay processes thousands of Form 990-PF documents to extract grant details, financial data, and organizational information. Data accuracy depends on foundation reporting quality and IRS filing completeness.

Research Applications

Use this profile for prospect research, grant strategy development, application preparation, and relationship building. Combine this data with additional research on foundation priorities, application processes, and board member backgrounds for comprehensive grant seeking strategies.

Data Currency: Last updated January 2022 based on IRS Form 990-PF filings. Foundation information reflects most recent available tax year data.