Products

GrantsAI

AI-Powered Grants Lifecycle Platform

Make every grant decision data-driven. GrantsAI transforms the grants lifecycle into an intelligent, AI-driven workflow that helps institutions align the right opportunities, the right teams, and the right timing.

GrantsAI
The Problem

Today’s grant process is fragmented, and it does not scale.

At a time when funding is more competitive than ever, institutions are still working across disconnected systems and manual workflows. GrantsAI replaces fragmentation with a structured, intelligent, and data-driven lifecycle.

Weeks Lost to Portal Hunting

Researchers spend weeks manually searching across disconnected funding portals with no unified view.

No Objective Fit Evaluation

Teams lack a clear, data-driven way to assess alignment before investing significant time and effort.

Collaboration Runs on Connections

Finding the right collaborators depends on personal networks instead of real expertise gaps and research data.

Proposals Rebuilt Every Time

Teams repeatedly recreate proposals without structured support, AI assistance, or institutional knowledge.

The GrantsAI Approach

A continuous, intelligent system from signal to submission.

GrantsAI Process
01

Discover

Automatically identifies relevant funding opportunities based on research profiles, publications, and academic interests.

02

Evaluate

Scores each opportunity based on alignment, highlighting strengths, gaps, and likelihood of fit before work begins.

03

Collaborate

Recommends collaborators who complement missing expertise and strengthen proposal quality through data-driven team assembly.

04

Execute

Accelerates proposal creation with AI-assisted drafting aligned to research context, institutional requirements, and funder expectations.

What Makes GrantsAI Different

Not a search tool. Not a writing assistant. A full lifecycle platform.

GrantsAI is designed for how research institutions actually operate: scholar-aware, gap-based, continuously learning, and built to improve every cycle of grant discovery and submission.

Scholar Intelligence

Matches opportunities to real research output, going beyond keyword matching to understand publications, projects, and profiles.

Gap-Based Collaboration

Identifies what is missing in a proposed team and recommends collaborators who complete the picture.

Proposal Acceleration

Turns proposal development from a blank-page exercise into a guided, AI-assisted process tied to context and requirements.

Continuous Learning

Improves recommendations, scoring accuracy, and drafting quality over time based on usage and outcomes.

Designed for Higher Education

Built for every stakeholder across the institution.

GrantsAI supports faculty, research operations, and institutional leadership by delivering the right intelligence at every level.

Faculty & Researchers

Identify relevant funding opportunities faster and accelerate proposal development with AI-guided drafting tailored to each research profile.

Research Offices

Gain full pipeline visibility, improve submission quality, reduce bottlenecks, and position every proposal to compete.

Institutional Leadership

Access strategic insight into funding alignment, institutional strengths, and research portfolio performance in one platform.

Built on Enterprise-Grade AI

Powered by Google Cloud. Secured for the enterprise.

GrantsAI integrates with Gemini Enterprise to deliver AI capabilities with the governance, security, and scalability institutions require.

Google Cloud Gemini Enterprise Vertex AI

Secure, Governed AI Access

Enterprise-grade data governance with secure, role-based access to AI capabilities across departments.

Integration-Ready Architecture

Connects with research management systems, institutional repositories, and enterprise tools.

Scalable Deployment

Start with one department and expand across the institution with confidence on architecture built to scale.

Rapid Pilot. Measurable Impact.

From deployment to demonstrable results in 5 weeks.

The rollout model is designed for fast adoption, measurable value, and institution-specific calibration without forcing a long transformation runway.

1

Weeks 1–2 — Deploy & Configure

Platform deployment and integration with institutional research systems and data sources.

2

Weeks 3–4 — Calibrate to Priorities

AI models tuned to institutional research profiles, funding focus areas, and workflow preferences.

3

Week 5 — Roll Out to Pilot Groups

Onboard faculty and research office teams with guided adoption and begin measuring impact from day one.

Expected Outcomes

What institutions can expect from the first pilot cycle.

Each outcome is tied to faster discovery, stronger proposal development, and better institutional coordination across the grants lifecycle.

Better alignment between research expertise and the right funding opportunities.

Stronger, more competitive proposals built faster with less effort.

Faster turnaround from discovery to submission across departments.

More structured, data-driven collaboration across research teams and institutions.

See GrantsAI in Action

Start with a department. Scale with confidence.

We would be glad to walk you through a live demo or discuss a pilot tailored to your institution’s research goals and priorities.

Contact

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