The data behind the predictions
One connected view of
mission-driven capital.
U.S. philanthropy, federal funding, and international aid live in systems that don't connect. SciRise resolves them into the Capital Graph: across U.S. sources, 1.6M resolved organizations, 18M grants, awards, and contracts, and $370B in matched funding in the latest available year, plus a global aid layer, so you can see who funds what, through whom, across a mission.
From connected records to practical answers.
The Capital Graph turns resolved, connected public records into the questions teams actually ask.
Funder prediction
Rank the funders most likely to begin funding an organization, validated against later funding outcomes.
Peer benchmarking
Find peers by funding behavior and financial structure, not category codes alone; benchmark revenue mix, funders, and compensation.
Intermediary flows
Follow disclosed flows through DAF sponsors, fiscal sponsors, and regranters: funders in, recipients out, attribution gaps flagged.
Landscape mapping
See a mission area end to end: funders, nonprofits, who funds whom, where capital concentrates and where it runs thin.
The public record of mission-driven capital, connected.
SciRise is built from core authoritative public sources: IRS 990 and 990-PF filings, federal award and contract records, international aid records, and audit, disclosure, and related-organization data. Every stream resolves to the same organizations, so foundation giving, federal funding, international aid, financials, and leadership connect.
9.8M
Foundation Grants
From IRS filings, including available tax-year 2025 records
8.2M
Federal Awards & Contracts
From USAspending through August 2026
1.6M
Resolved Organizations
Nonprofits, foundations, and universities
19,000+
Grantmaking Foundations
With extracted grant detail
2.3M
Funding Relationships
Distinct U.S. funder-to-recipient relationships resolved
2.2M
Nonprofit Annual Filings
With full financials and revenue lines
5.7M
Contact Records
Publicly disclosed officer, director, and organization contacts
$370B
Matched in Latest Year
Foundation grants and federal awards and contracts
Global data
Through IATI, the reporting standard used by UN agencies, bilateral donors, and major INGOs, the graph adds 622,000 aid activities, 10M transactions, and 2.1M resolved international funding relationships: roughly $150B per year in reported disbursements (2022-2024), counted only from originating government and foundation funders to avoid double counting pass-through flows. IATI totals partially overlap with U.S. federal and foundation records and are not additive to the $370B figure.
Coverage current as of August 2026; recent-year totals reflect records available as of that date. Holdings include foundation filings since 2016, federal awards and contracts since 2018, and international aid records since 2000. Matched history and cumulative U.S. funding figures cover 2020 through August 2026.
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Every record earns its place.
How raw filings become the Capital Graph: every record goes through a multi-stage quality process before it reaches you.
Ingest
IRS 990 and 990-PF filings, federal award and contract records, international aid records, and audit and disclosure data: the core public record of mission-driven funding.
Resolve
Many raw records identify recipients through inconsistent names and identifiers. SciRise matches them to verified organizations with multi-stage entity resolution.
Filter
Donor-advised funds, fiscal sponsors, and regranters can obscure the original funder or final recipient and create double-counting risk. SciRise separates their disclosed flows from direct-funder analytics and flags attribution gaps.
Validate
Predictive outputs are tested against later funding outcomes using a holdout year never seen in training.
Ingesting filings is easy. Understanding them is the work.
Raw-filing products primarily surface filings as reported.
| Capability | SciRise | Raw Filings Alone |
|---|---|---|
| Surfaces source filings and documents | ||
| Resolves free-text recipient names to verified organizations | ||
| Identifies disclosed intermediaries: DAFs, fiscal sponsors, regranters | ||
| Connects foundation, federal, financial, and leadership data | ||
| Multi-year patterns rather than single-year snapshots | Limited / manual | |
| Predictive recommendations validated on holdout-year outcomes |
Prediction, not just description.
A practical test of the connected data is whether it improves prediction. In validation, among nonprofits that added a new funder, SciRise placed at least one eventual new funder in its top 10 for 31% of those nonprofits, more than 10x the top-10 hit rate of the strongest tested mission-alignment baseline.
31%
Top-10 hit rate
Among nonprofits that added a new funder, SciRise placed at least one eventual new funder in its top 10.
10x+
Stronger than mission matching
Versus the strongest tested mission-alignment baseline, scored on the same data.
Validation: trained on multi-year IRS 990/990-PF filings, tested on a later holdout year never seen in training, and replicated across multiple test windows. Repeat grants excluded: the model must predict funders new to the organization. Baseline: the strongest of several AI embedding-based mission-matching approaches, scored on the same data.
See our full validation methodology →
Data you can put in front of a board.
Current, traceable, auditable.
Continuously updated
New filings and federal records load as they become available, with the latest available filing for each covered funder. Matched grant history spans the six tax years since IRS e-filing became mandatory, with recent years still filling in.
Source-linked
Every underlying source record traces to the original filing, award or contract record, international aid record, audit, or disclosed relationship. Benchmarks and rankings are derived from that evidence.
More than $1.5T mapped
Across U.S. records available from 2020 through August 2026, the graph matches more than $1.5 trillion in cumulative value of foundation grants, federal awards, and contracts to identified nonprofits and universities.
Start from the evidence base already built.
SciRise puts this data to work in funding strategies, landscape analyses, funder maps, peer benchmarks, and diligence. Outputs are built to stand up in front of a board or an investment committee.
See it run on organizations you care about.