Impetus Longevity Grants
Up to USD 500,000 per grant · Norn Group (donors include Juan Benet/Protocol Labs, Robert Rosenkranz/Rosenkranz Foundation, Hevolution Foundation, and Vitalik Buterin)
A fast, high-conviction longevity-science fund offering up to USD 500,000 with a stated three-week decision model. Norn reports more than USD 34 million deployed across roughly 145–146 projects since 2021. Its current thesis focuses on open, AI-ready organ- and organism-level datasets, but the checked page exposed no public applicant intake or deadline, so the lifecycle is not treated as rolling.
Tier 3longevityaging researchfast grantsscience
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Key facts
| Funder | Norn Group (donors include Juan Benet/Protocol Labs, Robert Rosenkranz/Rosenkranz Foundation, Hevolution Foundation, and Vitalik Buterin) |
| Amount | Up to USD 500,000 per grant |
| Decision time | The program states decisions are made within three weeks, but no current public application route or cutoff was visible on 2026-08-10. |
| Eligibility | Historically open worldwide to academic and nonprofit researchers, including professors, postdocs, graduate students and trainees. The current page identifies an AI-enabling-datasets round but publishes no applicant intake link, deadline or current eligibility rules, so current actionability is unverified. |
| Restrictions | The current AI-enabling-datasets thesis requires resulting data to be open-source and formatted for immediate ingestion by major AI model architectures. Award-specific reporting, IP and eligible-cost terms are not public. Do not confuse the donor matching campaign with an applicant match requirement. |
| Status | unknown |
Always confirm on the official page before applying — dates and terms change.
Application process
- Monitor the official page/newsletter for a public applicant intake
- Verify the live round's eligibility and requested materials
- Historically submit a concise proposal emphasizing implementation details and risks
- Scientific reviewers can champion high-upside proposals without committee consensus
- Program targets a decision within three weeks when an application round is live
Background
Impetus was designed as a low-bureaucracy alternative for high-risk aging research that conventional review processes miss. Round 3 selected 34 projects from 1,050 applications and committed close to USD 10 million. Norn now reports 237+ papers/preprints and more than 20% of grantees entering aging research from outside the field.
How the application really works
When a round is open, Impetus uses a concise proposal and fast scientific review in which individual reviewers can champion unconventional work. Historical guidance says to emphasize implementation details and risks rather than generic background. The current AI-data thesis has no visible applicant intake, so applicants should subscribe and wait for explicit round rules.
Tips
- Propose a high-risk idea that would not otherwise happen
- Be concise and prioritize implementation details and failure modes
- Connect tools from outside aging directly to an aging bottleneck
- For the current thesis, design organ/organism data that is open and immediately usable by major AI architectures
Watch out for
- No public application intake or deadline was visible on 2026-08-10
- Historical Round 3 selectivity was about 3.2% overall
- Current-round eligibility and award terms cannot be inferred wholesale from 2023 guidance
- The current data thesis requires open-source, AI-ingestible outputs
Track record
- More than USD 34 million deployed since 2021
- Approximately 145–146 projects across three completed rounds
- 237+ papers and preprints acknowledging support
- More than 20% of grantees were new to aging research
- Round 3 selected 34 projects from 1,050 applications and committed close to USD 10 million
Round 3: 34 selections from 1,050 applications (3.24% derived overall); the official results also publish role-specific rates from 2.3% to 3.4%.
Frequently asked questions
- Is this actionable now?
- unknown. Active scientific thesis does not by itself prove an open or rolling applicant route. Current actionability is marked unknown pending a public application form or deadline.
- What is the real economic value?
- Research grant; current page states up to USD 500,000
- Who is eligible?
- Historically open worldwide to academic and nonprofit researchers, including professors, postdocs, graduate students and trainees. The current page identifies an AI-enabling-datasets round but publishes no applicant intake link, deadline or current eligibility rules, so current actionability is unverified.
- How does selection work?
- Monitor the official page/newsletter for a public applicant intake; Verify the live round's eligibility and requested materials; Historically submit a concise proposal emphasizing implementation details and risks; Scientific reviewers can champion high-upside proposals without committee consensus; Program targets a decision within three weeks when an application round is live. The program states decisions are made within three weeks, but no current public application route or cutoff was visible on 2026-08-10.
- What burden and restrictions apply?
- The current AI-enabling-datasets thesis requires resulting data to be open-source and formatted for immediate ingestion by major AI model architectures. Award-specific reporting, IP and eligible-cost terms are not public. Do not confuse the donor matching campaign with an applicant match requirement.
- What track-record evidence exists?
- More than USD 34 million deployed since 2021; Approximately 145–146 projects across three completed rounds; 237+ papers and preprints acknowledging support; More than 20% of grantees were new to aging research; Round 3 selected 34 projects from 1,050 applications and committed close to USD 10 million. Round 3: 34 selections from 1,050 applications (3.24% derived overall); the official results also publish role-specific rates from 2.3% to 3.4%.
- Which facts remain unresolved?
- lifecycle_status, next_deadline, match_funding_required, reporting_burden, non_cash_support
Related grants
Sources
- norn.group/impetus-grants — Official current program page: award ceiling, three-week decision model, active AI-enabling-datasets thesis, program scale and open-data requirement (checked 2026-08-10)
- norn.group/impetus-grants/news-updates — Official live round results and application guide; the dead homeold0425 archive was removed and unsupported current geography was set unknown (checked 2026-08-10)
- norn.group/impact — Official impact page: rounds, deployed funding, publications, labs entering aging and testimonials (checked 2026-08-10)
- norn.group/impetus-grants/award-winners — Official searchable award-winner and output directory (checked 2026-08-10)