Strong grant teams don't start writing until the grant is verified.
Your team is working on one right now that isn't.
Most nonprofits do not lose grants on writing. They lose on the decision made before writing starts. Sharke is the verification layer that runs before staff time goes in: every grant checked against eligibility, funder behavior, timing, and relationship requirements, with a verdict you can defend.
You have been here before
Most of these were not bad applications. They were decisions made on incomplete information.
- You applied because the grant "seemed like a fit."
- You found out after submission that you did not meet a basic requirement.
- You realized too late that an eligibility gate ruled you out.
- You are not sure why your team's applications keep getting rejected.
- You submitted an application and later second-guessed whether everything in it was correct.
Each one of these is the same gap. The decision to pursue was made on incomplete information, and the team did not know it until after the time was gone. That gap is what the verified pipeline closes.
What a verdict from Sharke looks like
Every grant lands with a verdict before staff time goes in. Pursue, wait, or move on, with the reasoning behind it.
Community Resilience Fund
Family Foundation · $150K to $250K
Hidden preference detected
Stated focus: "General Health"Actual pattern: 85% to Rural Youth Mental HealthThat matches your exact profile.
Geographic restriction: verified compatible (Southwest Region)
The pipeline you have
An unverified pipeline is a pipeline of grants that don't have a path to funding, and you don't know which ones.
of grant applications are rejected
average staff time per application written
Most of the rejected applications fail before a reviewer ever reads them. Eligibility gate. Funder award history. Cycle status. Relationship requirements. The grants that fund are the only ones that produce cash; the rest consumed the hours that would have produced cash elsewhere.
Roughly a third of grants in a typical pipeline have no path to funding. The other two-thirds are competing for staff time with grants the team does not yet have on the list. Both halves of that problem stay invisible until the year is gone.
"We used Sharke to rebuild our pipeline from scratch. The verified pipeline surfaced grants we should have already been applying to, ones that fit our work directly. The hard part to sit with is that FY25 could have looked different. We would have had more funding and reached more people with fewer applications written."
Director of Development, workforce development nonprofitWhat Sharke does
How Sharke builds a verified pipeline + drafts the grants worth pursuing.
Verify
Every grant checked before staff time goes in
Decision Record on every grant the team works on. Pursue, Wait, or Move On with source-cited reasoning across eligibility, funder behavior, timing, and relationship requirements. 12+ disqualifier types flagged automatically.
Surface
How the right opportunities reach your team
Continuous scanning across federal Grants.gov, state portals, city RFPs, and foundation grants, against 150,000+ analyzed funder records. Adjacent funders flagged inside every fit check. The grants you did not have on the list show up before they close.
Verified Pipeline
The standard, not the exception
A standing list of grants ranked to your org's mission, size, and geography, every one carrying a verdict. Your team works from grants with a path to funding, not a list of grants that look like one.
Drafting
Applications written after fit is confirmed
Federal, foundation, and LOI templates with funder context auto-injected. Rubric-aware against each NOFO. Document Vault auto-fill. Red Team review before submission. None of it runs until the verdict says so.
Why AI does not fix the problem
Most small nonprofits already use ChatGPT to find grants. The problem is that AI is confidently wrong about the things that matter most.
AI matches on topic, not on whether you actually qualify. When it cannot find specific information, it fills in the blanks instead of flagging the gap. Four ways this shows up in a real pipeline:
Ghost deadlines
AI finds a grant from 2023 and presents it as current. The deadline it gives you belongs to a cycle that closed two years ago.
The vibe match
Your nonprofit does after-school coding. A foundation funds youth technology. AI calls it a 95% match. What it missed: the funder requires a $5M minimum budget and only operates in one county.
Open mission, closed process
The website says they support hunger relief. AI says apply. The 990 shows they have not accepted a new grantee in six years.
Invented priorities
The foundation is called The Smith Arts Foundation. AI assumes they fund all arts. The reality: they fund Baroque opera in New Jersey.
The hardest part of grant work is not writing. It is research accuracy and knowing what to say no to.
What a verified pipeline includes
Two halves of the workflow. The verdict is the line between them.
Before the verdict
Verification, before staff time goes in
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Fit check on every grant
Decision Record: Pursue, Wait, or Move On with source-cited reasoning. OSI scoring across mission, capacity, behavioral, winner profile, geography. 12+ disqualifier checks. Verdict returned before staff time goes in.
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Personalized pipeline, ranked
Federal Grants.gov, state portals, city RFPs, and foundation grants, ranked to your mission, size, and geography. Funder catalog across private, corporate, community, federal, state, and DAF sponsors.
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Funder snapshots and warm-path detection
Per-funder strategic synthesis with current priorities, red flags, cycles. Warm paths surfaced across board overlap, geographic overlap, and mutual grantees.
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NOFO deep brief on demand
Exhaustive requirements extraction, gap analysis, and remediation actions for any specific NOFO. Same day.
After the verdict
Drafting and submission, on verified ground
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Application drafting
Federal, foundation, and LOI templates with funder context auto-injected. Rubric-aware against each NOFO. Document Vault auto-fill. Red Team adversarial review before submission.
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Document Vault and federal readiness audit
Bylaws, financials, 990s, prior applications, board minutes in one place. Federal readiness audit (SAM, single audit, audited financials). 16+ compliance items tracked.
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VERA chat assistant grounded in your data
Ask data questions, request searches, run comparisons. Grounded in your Document Vault and the funder catalog, not the model's general training.
If the fit check is not run, none of the right side matters.
Sharke is Collin Brown's verification standard, made systematic.
Collin has been on every side of the grant table. He founded and led a nonprofit as Executive Director. He sits on one nonprofit board today and has served on another. He has applied for and won grants from NIH, NIMH, NSF, private foundations, and a $1M federal grant. Sharke is built on what he has seen go right and wrong on each of those sides.
Author of "AI You Can Actually Trust" (Amazon Top 50 Business Bestseller). Wharton MBA. Trained at Duke Sanford School of Public Policy.
Sharke was selected for the 2026 NVIDIA Inception Program, joining the cohort of advanced AI companies working on infrastructure-grade applications.
Founder / Sharke.ai / Austin, TXWhat the verified pipeline does
"We were three weeks into a $200K federal grant when we ran the fit check. The verdict flagged a match-funding requirement buried in the supplementary guidelines. We had no realistic path to the match. We stopped, and the staff hours that would have gone into writing went to two state-level opportunities Sharke surfaced. One landed 90 days later. The fit check saved us 60 hours and probably the quarter."
Executive Director, $1.2M workforce development nonprofitFind the path that fits your role.
Sharke runs differently depending on who is using it. Pick the path that matches how you work with grants today.
For foundations, associations, and intermediaries
Strong organizations go unfunded because they lack the hours to research and write, not because they lack impact. Sharke makes the fit check the standard across your portfolio, so funding decisions reflect program quality, not staff size. Reach out to angelica@sharke.ai to discuss a cohort.