Grant agencies receive thousands of applications. GrantScreener AI delivers expert-quality initial screening at scale — so your reviewers focus on what matters.
Modern funding agencies face a structural problem: proposal volumes grow every year while reviewer budgets stay flat.
Major agencies receive tens of thousands of proposals per cycle. No human team can read them all with equal attention.
Early-stage screening quality depends heavily on individual reviewers, leading to variance in who advances to full review.
Expert reviewers are expensive. Administrative overhead compounds the cost of every proposal that enters the pipeline.
Bottlenecks in review delay funding decisions — slowing down research and innovation that depends on timely grants.
A seamless four-step process that integrates with your existing workflow — no infrastructure changes required.
Proposals are uploaded securely to our platform. All data is processed in an isolated, private environment.
Our AI evaluates each proposal against your agency's criteria — novelty, feasibility, impact, and compliance.
Every proposal receives a structured scorecard with justifications your reviewers can audit and override.
Human experts focus on the ranked shortlist, making high-stakes decisions with full AI-generated context at hand.
Every feature is designed around the specific demands of public and private grant administration.
Consistent criteria applied to every proposal — no fatigue, no bias from reviewer familiarity.
Reduce the reviewer time spent on initial triage by up to 80%, freeing budget for deeper evaluation.
Compress a weeks-long screening phase to hours, accelerating your entire funding cycle.
Whether you receive 500 or 50,000 proposals, performance stays constant. No extra headcount needed.
Annual SaaS pricing gives you predictable costs. No per-proposal fees that balloon with submission rates.
Every score is traceable to criteria. Reviewers see the reasoning, keeping humans in control.
Our pipeline allows to give constructive feedback to rejected proposals. Applicants come back with less frustration, and motivation to re-submit.
We know grant data is sensitive. Privacy and rigour are engineering requirements, not afterthoughts.
Proposal data is processed in isolated environments and never used to train shared models or shared with third parties.
Our assessments are benchmarked against historical expert decisions. We provide correlation reports before you commit.
AI output is a decision aid, not a decision. Final funding choices remain entirely with your reviewers.
Your funding priorities, rubrics, and eligibility rules are encoded into the system — not overridden by generic heuristics.
We have been on both sides of the grant process — as applicants and as reviewers.
Professor of Software Technology. Long-standing experience in academic grant writing and peer review at the international level.
Researcher and entrepreneur with deep expertise in AI systems and the practical realities of competitive funding landscapes.
We'll run a free pilot on a sample of your past applications and show you exactly how our scores compare to your reviewers' decisions.
Request a free consultationNo commitment required · Results delivered within one week