About Probalistic Computing Foundation
The Probalistic Computing Foundation funds advanced computing and AI research, prioritizing institutional research partners that develop probabilistic modeling, language modeling, and information-extraction tools. Grants are intended to accelerate research and demonstration projects rather than general operating support, with a clear emphasis on technical, university- and lab-based collaborators.
Focus Areas
Probabilistic computing and foundational AI researchLanguage modeling and natural language processing researchDemonstration and deployment of information-extraction toolsUniversity–lab research partnerships (U.S. and international)
Who They Fund
AI and computer science researchersacademic research labs and institutionstechnology developers / research engineers
Giving Approach
Highly concentrated giving: very few, large grants to research institutions and consortia (one flagship seven-figure award plus select university project funding), focused on project-specific research and demonstrations rather than many small grants.
Financial Snapshot
Annual Giving
$10.9M
Total Assets
$20.8M
Total Revenue
$730K
Total Expenses
$12M
Typical Grant Size
Most grants fall between $118K and $575K, with a median of $150K.
25th Percentile
$118K
Median
$150K
75th Percentile
$575K
Geographic Reach
Regional3 states funded
About 33% of grants go to recipients in CA.
Funding intensity
LowHigh
Headquarters
Funding intensity
LowHigh
Where Probalistic Computing Foundation Funds
Top 2 recipient countries by grant volume for Probalistic Computing Foundation.
| Rank | Country | Grants | Total | Share |
|---|---|---|---|---|
| 1 | United StatesDomestic | 7 | $11.8M | 87.5% |
| 2 | Canada |
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