The World's Largest Grants + Funders Database

Search and apply for every grant in existence.

140,000+ grants from 144 sources across every U.S. state and 15+ countries

144 data sources50 states + DC133K foundations15+ countries

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Trusted by researchers and organizations at

MITStanford UniversityYale UniversityPrinceton UniversityCornell UniversityEmory UniversityNYU Langone HealthUniversity of PittsburghGeorge Washington UniversityFlorida State UniversityLSUMemorial Sloan KetteringChildren's Hospital Los AngelesDeloitteAmerican Red CrossWomen's World BankingChildFundTata Steel

How it works

Match, plan, and win — in one platform

01
Match & Research

Find the right funders in minutes, not months

AI matches your mission to 133K+ foundations across all 50 states. Deep profiles show financials, giving patterns, key contacts, and 990 data so you know exactly who to approach.

133Kfoundation profiles
79Kkey contacts
4-sourceIRS compliance check
Matched Funders
0 of 847 results
GF
Gates Foundation
HealthEducation
—
$2.4M avg
FF
Ford Foundation
Social JusticeArts
—
$850K avg
KF
Kresge Foundation
EnvironmentCities
—
$400K avg
MF
MacArthur Foundation
ClimateJustice
—
$1.1M avg

Platform at a Glance

One platform. Built around your mission.

Funder Matching

Personalized recommendations from 133K foundations

133K Funder Profiles

Financials, key people, 990 data

Grants Data Search

Historical grants by funder & recipient

Pipeline Tracker

Stage tracking, funnel, win rates

Prospect Lists

Named lists with CSV export

Grant Alerts

Personalized matches delivered to your inbox

AI LOI Writer

Personalized letters of inquiry

Grant Writing Coach

Section-by-section AI drafting

Compliance Monitoring

4-source IRS verification

Granted Review Board

Independent multi-perspective critique

Sector Analytics

Dashboards, maps, and charts

Data API

6 REST endpoints, OpenAPI spec

Trending Grants

Closing soon — don't miss these deadlines

European High Performance Computing Joint Undertaking (EuroHPC JU), jointly funded by the European Union and the EuroHPC JU Participating States
IntlDiscoveredActive

EuroHPC AI Gigafactories Call EUROHPC-2026-CEI-AIGF-01 for Establishing Up to Seven Large-Scale AI Compute Facilities in Europe

The EuroHPC Joint Undertaking launched its AI Gigafactories call on 30 July 2026 as a joint procurement, not a conventional research grant, and that distinction shapes who should respond. It seeks consortia or Special Purpose Vehicles bringing together companies, public entities, investors and other partners to establish up to seven AI Gigafactories across Europe - facilities that combine massive computing power and state-of-the-art AI processors with the software and cloud technology stacks, high-bandwidth connectivity and energy-efficient data centres needed to deliver frontier AI training, fine-tuning and inference at scale. This is the tier above the 19 AI Factories and 13 AI Factory Antennas EuroHPC already oversees, which serve SMEs and startups with free customised support; the Gigafactories are aimed at frontier-scale sovereign capacity. The financing model is blended: EuroHPC expects total private investment of more than EUR 20,000,000,000 across the EU, with successful projects receiving varying levels of EU and national co-funding calibrated to the size and range of sovereign services offered. Per-facility EU contributions have deliberately not been published, so applicants must build their own capital stack and negotiate co-funding rather than apply against a fixed grant envelope. Facilities may be established in a single Member State or span several, and cross-border developments are explicitly welcomed. The reference is EUROHPC-2026-CEI-AIGF-01 and the deadline is 12 November 2026 at 16:00 CET. Realistically this is a call for infrastructure-grade consortia with credible access to billions in capital, energy siting and hyperscale operations experience - not for individual research groups or early-stage startups, who should instead route through the existing AI Factories network.

EuroHPC JU has not disclosed per-facility EU funding levels, stating only that successful AI Gigafactory projects will receive different levels of EU and national co-funding reflecting the size and range of sovereign services each offers. The published anchor figure is an expected total private investment of more than EUR 20,000,000,000 (approximately USD 22,000,000,000) across the EU for up to seven facilities. The amount_min recorded here, USD 3,100,000,000, is that programme-wide figure divided across seven facilities as an indicative per-facility total project size; amount_max is the programme-wide figure. Neither is a published grant ceiling and applicants should treat both as derived rather than official.Due today
HMGCC (His Majesty's Government Communications Centre) Co-Creation programme with the Defence Science and Technology Laboratory (Dstl), UK
IntlDiscoveredActive

HMGCC and Dstl Co-Creation Challenge for Smart Glasses Edge Processing Using AI and Computer Vision to Build 3D Maps for Reconnaissance

HMGCC Co-Creation and Dstl are seeking an edge device that processes video and audio from off-the-shelf smart glasses and stitches frames into high-fidelity 3D maps for reconnaissance. The minimum deliverable is a TRL 4 proof of concept. AI, computer vision and machine learning are listed technology themes, for example algorithms that compensate for head movement while stitching frames. Essential requirements are a report on where smart-glasses data flows and who can access it, good daytime urban imagery, and a camera-based 3D map. Desirable features include low-light imaging, audio fusion, testing across several manufacturers and a three-year manufacturer roadmap, and the stretch goal is fusing audio and visual data to handle reflections and solid walls. Redesigning or physically modifying the glasses is out of scope, and data handling must comply with GDPR and manufacturer terms. The total budget is up to £60,000, about US$80,000, excluding VAT, with on average two providers funded for a 12-week project. Questions are due 29 October, pitch day is 25 November, and kick-off is targeted for January 2027. Applications close on 12 November 2026 at 17:00 UK time.

Up to £60,000 (about US$80,000) excluding VAT in total, with on average two providers fundedDue today

From donor appeals to federal grants

AI drafting that grounds every paragraph in your real data

Upload any RFP or grant guidelines. Our AI grant writing tool reads the full document, identifies every required section, and coaches you through the details it needs to draft a grounded, complete proposal.

NSF_CAREER_Draft.granted

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Specific Aims
Research Strategy
Broader Impacts
Data Management
Coach
What debris sizes can current sonar detect?
How will you validate field accuracy?
Who benefits outside your lab?
Where will data be archived?

Not a ChatGPT wrapper

Built different.

Other platforms search their database. Granted searches their database and the entire internet.

Granted
Others
Foundation database
133K with deep profiles
~10K basic listings
Search approach
Database + live internet search
Database only
Funder profiles
Financials, 990s, key contacts, giving patterns
Name and address
IRS compliance check
4-source verification
Single source or none
AI writing
Section-by-section coaching with coverage tracking
Generic text generation
Pre-submission peer review
Independent review + deliberation + consensus
Single AI check or N/A
Grant data
140K+ grants, 144 sources (50 states + 15 countries)
Varies widely
Foundation engagement
Claimed profiles + applicant insights
Static listings
Starting price
$29/month
$300-900/month

A professional grant writer charges $5,000–$15,000 per proposal.

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