Policy-grade search
- Blend Grants.gov Applicant API releases with NIH RePORTER history to surface relevant notices fast.
- Filter by mechanism, institute, eligibility constraints, and budget bands in one query.
From September 25, 2025 onward, NIH scrutinizes originality, AI usage, and submission counts harder than ever. DeepGrants compresses the opportunity lifecycle—discover, qualify, comply, draft—into one workspace designed for research administrators and principal investigators. [2]
Policy, compliance workload, and competition are converging. NIH administrators face rising complexity while funding volume remains flat near $47.7B in FY2024. [4]
DMS plans become mandatory for new submissions, creating documentation and metadata overhead for every PI.[1]
Applications substantially developed by AI are no longer considered original; NIH also caps each PI at six submissions per year.[2]
Reviewers and officials must not use generative AI to evaluate applications, reinforcing trust requirements for tooling.[9]
Funding opportunities migrate from the NIH Guide to Grants.gov as the single authoritative source, tightening sourcing timelines.[3]
NIH leaders warn that competition is tightening as budgets stay flat—Campuses need tooling that converts regulatory change into cycle-time advantage. [10]
Each module turns regulatory shifts into leverage. Citations and telemetry feed directly into compliance reporting and institutional procurement checklists.
Designed for research development offices, compliance teams, and principal investigators.
Semantic and structured filters identify the right FOA in minutes, with provenance baked in.
Eligibility guardrails parse mechanisms, activity codes, key personnel rules, and limited submissions.
DMS templates, human subject checklists, and policy explainers collapse hours of manual review.
We measure every release against quantitative guardrails—verification, eligibility, freshness, and reviewer integrity—so procurement and compliance teams can audit performance.
Policy answers ship with inline sources and audit logs, meeting the verification rate expected by compliance teams.
Role, mechanism, and limited submission rules are regression-tested against NIH notices to prevent disallowed filings.
Nightly sync with Grants.gov Applicant API plus delta checks from NIH RePORTER keep opportunity data current.
Review workspaces disable generative suggestions entirely to respect NIH’s ban on AI in peer evaluation.
FY2024 Research Project Grant data show how crowded the NIH pipeline has become—only 20.9% of the 76,341 competing applications were funded. [11]
Where runway is longest and renewal messaging matters.
Immediate impact zones for win-rate lifts.
Five ICs generate half of all RPG submissions—our core account list.
If DeepGrants helps even 10% of those unfunded submissions retool, that is 6,041 high-intent workspaces per year—assuming FY2024 volume holds steady. [11]
Reliable procurement decisions depend on redundant sourcing and clear usage boundaries. DeepGrants hardens each data lane with feature flags and compliance-aware caching.
Trust is programmable. DeepGrants instruments every AI assist with policy-aware controls.
Inline citations point to official NIH, Grants.gov, or Federal Register sources for every AI-generated fact.
AI involvement meter enforces NOT-OD-25-132 guidance and prompts for human sign-off before export.
Submission tracker counts annual attempts per PI to respect the six-application cap.
DMS workspace packages data management plans with metadata and storage guardrails ready for upload.
Reviewer mode disables AI writing per NIH peer-review policy, protecting scientific integrity.
Need to document downstream reuse? Our compliance whitepaper details USAspending and SAM redistribution limits. [7]
We align to campus procurement rhythms with bundled security responses, measurable pilots, and change-management playbooks.
Deliver SOC 2 Type I roadmap, data flow diagrams, and privacy responses alongside procurement questionnaires to speed approvals.
An 8–12 week scoped engagement with KPI targets—verification rate, cycle time reduction, renewal readiness—captures case studies for expansion.
Embedded success team trains research administrators, documents SOP updates, and aligns renewals to budget cycles informed by NIH funding volatility.
A unified stack spanning Astro marketing surfaces, Next.js console, and Workers APIs ensures new policy updates roll out across every touchpoint without refactoring.
Grants.gov Applicant API and NIH RePORTER provide authoritative FOA and award data, backed by cached snapshots for resilience.
Hybrid retrieval + generation stack blends vendor LLMs with tuned open models to balance latency, cost, and provenance.
Policy reasoners, eligibility rules, and submission counters execute on Cloudflare Workers close to reviewers.
Astro marketing site, Next.js console, and API Worker share a unified component library and type-safe SDK.
We ship with an embedded success team, aligning procurement milestones, SOC 2 roadmap, and policy verification.
Data onboarding
Load target institutes, historic awards, and policy packets for your programs.
Coaching loops
Run live proposal reviews, record compliance gaps, and benchmark verification rate against the 95% goal.
Operational handoff
Integrate with campus SSO, deliver dashboards, and finalize renewal KPIs for procurement.
Secure a design partner slot, request a compliance briefing, or invite us to your next procurement review. We’ll come prepared with citations, data flow diagrams, and KPIs tuned to your campus. Production launch is staged for deepgrants.ai, with early previews rolling out here first.