THE SYSTEMS AND MACHINE LEARNING FOUNDATION (EIN 834448140) - Form 990 Financial Analysis & Trantor Score

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Financial Vulnerability Assessment (Tuckman-Chang)

4 risk indicators measuring financial stability and operational resilience

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Financial Trends

Organization Details

Formation Year

2019

Legal Domicile

Principal Officer

TIANQI CHEN

Phone

8587616256

Tax Period

2024-01-01 to 2024-12-31

THE SYSTEMS AND MACHINE LEARNING FOUNDATION, founded in 2019, is a small nonprofit in the Science & Technology sector that reported $517K in total revenue in fiscal year 2024. Revenue surged 48% from the prior year, signaling strong growth momentum. The organization ran a surplus of $250K, a strong 48% operating margin.

Mission

THE FOUNDATION FOSTERS RESEARCH EXCHANGE ON SYSTEMS AND MACHINE LEARNING RESEARCH IN BIOLOGICAL, TECHNOLOGICAL, MATHEMATICAL AND THEORETICAL ASPECTS. A CONTINUING SERIES OF PROFESSIONAL MEETINGS AND PUBLICATION OF ITS PROCEEDINGS.

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Trantor Score

Financial Health Score (300–850) · Liquidity · Solvency · Sustainability · Efficiency

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Liquidity (40%) • Solvency (30%) • Sustainability (20%) • Efficiency (10%)

Financial Overview (2024)

Revenue Breakdown

Contributions & Grants $218,000

Program Service Revenue $298,855

Investment Income $0

Other Revenue $0

TOTAL REVENUE $516,855

Expense Breakdown

Grants Paid $0

Salaries & Benefits $0

Fundraising Expenses $0

Program Expenses $192,035

Other Expenses $267,339

TOTAL EXPENSES $267,339

Year-over-Year Comparison

	2024	2023	Change
Revenue	$516,855	$348,983	+0.5%
Expenses	$267,339	$400,434	-0.3%
Net Income	$249,516	$-51,451	-5.8%

Key Indicators

✗ Grants to Organizations ✗ Grants to Individuals ✗ Lobbying ✗ Political Activity ✗ Foreign Activities ✗ Donor Advised Fund ✓ Schedule B Required

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Financial Health Indicators

Comprehensive financial analysis: Altman Z-Score, liquidity, solvency, sustainability, efficiency, and growth metrics

Financial Distress Indicator

Liquidity & Cash Position

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Altman Z-Score • Liquidity Ratios • Solvency Analysis • Growth Indicators • Efficiency Metrics

Governance

Voting Members

Independent Members

Employees

N/A

Volunteers

N/A

Governance Policies

✗ Conflict of Interest Policy

✗ Whistleblower Policy

✗ Document Retention Policy

Special Practices & Reported Activities

✗ Operated a School

✗ Operated a Hospital

✗ Provided First Class Travel

✗ Reported Conflict of Interest

✗ Reported Asset Diversion

✗ Excess Benefit Transaction

✗ Made Political Expenditures

✗ Engaged in Lobbying

✗ Operated Donor Advised Fund

✗ Maintained Art Collections

✗ Filed Form 720

Compensation of Officers, Directors & Key Employees

Total Officers

Total Directors

Key Employees

Highest Compensated

reported

Name	Title	Hours/Week	Role	Reportable Comp	Other Comp	Total
AMEET TALWALKAR	TREASURER	5.00	Officer	$0	$0	$0
TIANQI CHEN	PRESIDENT	5.00	Officer Director	$0	$0	$0

Note: Compensation data is self-reported by the organization on their Form 990. "Reportable Comp" includes salary, bonuses, and other reportable compensation from the organization and related organizations. "Other Comp" includes benefits, deferred compensation, and non-taxable benefits.

Historical Data

Year	Revenue	Expenses	Assets	Net Income
2024	$516,855	$267,339	$755,850	$249,516
2023	$348,983	$400,434	$506,334	$-51,451
2022	$450,420	$401,456	$557,785	$48,964
2021	$189,371	$132,813	$508,821	$56,558
2020	$527,623	$324,620	$508,803	$203,003
2019	$329,633	$23,833	$305,800	$305,800

THE SYSTEMS AND MACHINE LEARNING FOUNDATION