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· Public charity

Nesivos Inc

Teens today are confronted with complex challenges unknown in the past.

$143k
Granted FY2024still arriving
5
Grants FY2024still arriving
1
States reached
$30k
Largest
01What it funds
0189% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2023 to 2024.

Health$205kYouth Development$30kReligion$30kCommunity Improvement$25kOther$0
02FY2024 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 5 grants below total $140,000, the rows itemized in this filing. The $143,180 headline is the total grant expense on the return; the other $3,180 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.
$30,000
Median grant
1
States reached
$161k
Total assets
Largest grants
RecipientAmount
TORAH LINKS OF LAKEWOOD INC$30,000
RISING STARS$30,000
MONMOUTH MEDICAL CENTER$30,000
LAKEWOOD CHAMBER OF COMMERCE$25,000
PREFERRED BEHAVIORAL HEALTH OF NJ$25,000
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Its human-services grants (FY23–23, $50k) land where the poverty rate runs at 11%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%SPARKS OF LIFE: $50k → 11%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field
04the grantee network

7 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 7 of the 9 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
7/7
Grantees still filing
3/7
Grew since first funded

Where the money sits, by cause and then by grantee

CHAI LIFELINE INC: $75,000 · HealthCHAI LIFELINE INCMONMOUTH MEDICAL CENTER FOUNDATION INC: $30,000 · HealthMONMOUTH MEDICAL CENTER FOUNDATION INCKANFEI FAIGA INC: $25,000 · HealthKANFEI FAIGA INCPREFERRED BEHAVIORAL HEALTH OF NJ INC: $25,000 · HealthPREFERRED BEHAVIORAL HEALTH OF NJ INCIndividual grant recipient: $57,000 · OtherIndividual grant recipientRISING STARS: $30,000 · OtherRISING STARSLAKEWOOD CHAMBER OF COMMERCE: $25,000 · OtherLAKEWOOD CHAMBER OF COMMERCESPARKS OF LIFE INC: $50,000 · Human ServicesSPARKS OF LIFE I…TORAH LINKS OF LAKEWOOD INC: $30,000 · ReligionTORAH LIN…
Health$155,000Other$112,000Human Services$50,000Religion$30,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetCHAI LIFELINE INC: $75,000 over 1y, 0.2% of budgetSPARKS OF LIFE INC: $50,000 over 1y, 8.6% of budgetTORAH LINKS OF LAKEWOOD INC: $30,000 over 1y, 1.3% of budgetMONMOUTH MEDICAL CENTER FOUNDATION INC: $30,000 over 1y, 0.3% of budgetKANFEI FAIGA INC: $25,000 over 1y, 14% of budgetPREFERRED BEHAVIORAL HEALTH OF NJ INC: $25,000 over 1y, 0.1% of budgetLAKEWOOD CHAMBER OF COMMERCE: $25,000 over 1y, 22% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Jewish Communal FundNY12.3× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Jewish Communal Fund

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Nesivos Inc funds: left to right is the share of its income from government, bottom to top the share from Nesivos Inc. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 40%2%6%14%25%funder's share of their income ↑0%4%8%11%15%share of the org’s income from government →median 4%
  • Kanfei Faiga Inc: 4% of income from government
  • Preferred Behavioral Health of Nj Inc: 0% of income from government
no gov moneyreceives it· size = income
4get no government money at all
1report government grants on their 990 we could not trace to a source (not plotted)
0rely on government for over half their income
⤢ axis zoomed · 0–15%
typical government reliance, FY20–25
How this is measured
Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.
04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Nesivos Inc?

Find your warmest path to Nesivos Inc through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 9 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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