Grow your university’s grant income.Without growing your team.

Universities use grant discovery platforms such as Atom Grants, Pivot-RP, GrantForward, and SPIN to match faculty with federal, foundation, and industry funding. Atom builds a profile for every researcher automatically from their publications and prior funding, checks eligibility against each call, and emails every PI a personalized weekly digest, so matches reach faculty who never log in. More than 55 research institutions run on Atom, from R1s to regional universities and PUIs, including the University of Memphis, Auburn University, and North Dakota State University.

The biggest differences are faculty setup and what happens after the match. Atom builds every researcher's profile automatically and checks each match against that researcher's eligibility (career stage, citizenship, institution type, prior awards); Pivot-RP asks researchers to claim a pre-built profile, and GrantForward builds profiles automatically but leaves eligibility to search filters. Atom also supports the proposal itself with section-by-section guides and an AI reviewer. Pivot-RP's editor-curated database and GrantForward's pre-solicitation and funded-award records are real strengths if broad manual search is what your office needs most.

Research offices manage limited submissions by catching each call as it posts, finding the eligible faculty in every college, and running one internal competition before the sponsor's deadline. Atom flags every limited submission the moment it posts, sends the research office a daily email, and suggests the faculty whose work fits, so the pick starts from a shortlist instead of a campus-wide blast. Your team still makes the final call on which proposals represent the university.

Most universities are live on Atom in about a week, across every college at once. You send a CSV of faculty names and emails, Atom imports them and builds each profile automatically, and SAML SSO is set up with your IT team. The first personalized digests reach faculty inboxes within days, and Atom has onboarded 1,000+ researchers in a single day.

A university grows grant income without new hires by automating the repeat work of research development: matching every PI to funding, screening eligibility, sending outreach, and building reports. Atom runs that work for every PI on campus, so your team spends its hours on funder strategy, PI coaching, and go/no-go calls. After switching to Atom, the University of Memphis went from under 100 active faculty to 600+ in a year and set a record year for proposal submissions with a 5-person team.

No. Atom builds each faculty profile from publications, prior funding, and affiliation, then emails each researcher a weekly digest ranked to their work and checked for eligibility. Matches land even for faculty who never log in, which is why engagement holds up in colleges where a searchable database would sit unused.

Yes. Atom keeps one proposal pipeline across every college and department, from drafting through review to submission, with dashboards and rollups by college, department, and funder. Deans and the provost see the same numbers without anyone rebuilding a spreadsheet.

For most universities, buying is faster and cheaper, because the hard part isn't the AI demo but running discovery, eligibility, digests, and dean-level rollups reliably across every college and PI. Atom already has funder data, eligibility rules, and grant taxonomy wired in, refined in production at 55+ research institutions, and goes live in about a week.