Acquire AI is the funding discovery and grant intelligence suite within Aubree, the Philanthropic Intelligence Platform. It autonomously searches funding databases, scores opportunities by mission alignment using an Intelligent Fit Score algorithm, and surfaces the highest-probability grant prospects for your organization — eliminating the manual, high-friction grant hunt that consumes development staff time with low-yield results.

How does Acquire AI's Intelligent Fit Score work?

Acquire AI uses natural language processing (NLP) to analyze your organization's mission statement, program descriptions, geographic focus, and population served, then matches these against the stated priorities of thousands of foundations and government funding sources. Each opportunity receives an Intelligent Fit Score that ranks alignment — so your team only pursues grants where the probability of success is high.

How does Acquire AI fit into the Philanthropic Intelligence Platform?

Acquire AI is the funding growth layer of Aubree's four-suite Philanthropic Intelligence Platform. It works in direct partnership with StewardWise AI — insights about which programs are resonating most with current donors inform the funding searches Acquire AI runs, creating a synergistic growth loop between donor retention and new funding acquisition.

How is Acquire AI different from grant databases nonprofits already use?

Traditional grant databases require a development director to manually search, read, and evaluate each opportunity. Acquire AI inverts this: instead of your staff hunting through hundreds of listings, an autonomous AI engine continuously monitors funding landscapes and proactively delivers ranked, mission-matched opportunities directly to your team — turning a reactive research process into a predictive intelligence function.

What types of funding does Acquire AI discover?

Acquire AI searches across foundation grants, corporate philanthropy programs, government funding sources, and community foundation opportunities. It continuously monitors for new funding announcements and deadline alerts, ensuring your organization never misses a high-fit opportunity due to limited research bandwidth.

What results can nonprofits expect from Acquire AI?

Organizations using Acquire AI typically see a significant reduction in time spent on grant prospecting, an increase in application quality due to better mission alignment, and access to funding opportunities they would not have discovered through manual research. The platform is designed to function as a full-time grant research analyst operating 24/7.

Is Acquire AI available in a bundle?

Yes. Acquire AI is the core of the Revenue Optimizer bundle, paired with StewardWise AI to create a complete retention-plus-acquisition growth engine. It is also included in the full Aubree Philanthropic Intelligence Platform.

Grants. Major Donors. Corporate Partners. How Acquire AI Runs All Three Simultaneously.

Managing three revenue streams as three separate operations is not a funding strategy. It is three separate research problems consuming three separate pools of staff time, producing three separate sets of incomplete results, with almost no intelligence flowing between them.

The grants team does not know what the major donor team is learning about high-capacity prospects. The major donor team does not know what the corporate team is learning about CSR priorities. The corporate team does not know what the board connection mapping could reveal about warm paths to the funders the grants team is pursuing.

Three operations. Zero shared intelligence. And a development team spending hundreds of hours annually on research that could be unified, cross-referenced, and continuously updated by a six-agent funding intelligence layer.

What the Six Agents Cover

Agent 01

Grant Opportunity Scanner

120,000 foundations monitored continuously. Match scores, deadlines, and recommended ask amounts surfaced for every aligned opportunity. Research drops from 20 hours per week to 4.

Agent 02

AI LOI Drafter

Submission-ready LOI drafts generated for priority matches. Funder language embedded. Optimal ask set against historical giving range. Three days of writing becomes a morning of review.

Agent 03

AI Donor Bio Analyzer

Major donor prospects cross-referenced against professional backgrounds, foundation boards, corporate leadership, and public philanthropic history. Capacity signals manual screening misses.

Agent 04

Corporate Partnership ID

10,847 CSR reports analyzed against mission, program focus, and geographic footprint. The corporate partners with the strongest alignment identified before a cold outreach is ever made.

Agent 05

Board Connection Mapping

The board's professional network mapped against foundation program officers, corporate community investment leaders, and major donor prospects. Warm paths surfaced across all three streams.

Agent 06

AI Donor Appeal Email Generator

Personalized cultivation and major gift outreach generated from donor profiles and program alignment. The right message, calibrated to the prospect, ready for review and send.

Where the Intelligence Flows Across Streams

Cross-Stream Cascade One

One Cultivated Relationship. Two Revenue Streams.

AI Donor Bio Analyzer: $75,000 capacity prospect with STEM education background.

Grant Opportunity Scanner: new STEM-aligned foundation, 88 out of 100 match.

Board Connection Mapping: the prospect sits on that foundation's advisory board.

Three pieces of intelligence. Three different agents. One development director who now knows that a single cultivated relationship could produce a major gift and a foundation introduction simultaneously.

Cross-Stream Cascade Two

One Corporate Target. Three Relationship Threads.

Corporate Partnership ID: technology company, 94 out of 100 CSR alignment.

Board Connection Mapping: direct board member connection to the head of community investment.

AI Donor Bio Analyzer: two company employees in the donor file as small annual givers with significant capacity.

One corporate target. Three relationship threads. None of them visible without the intelligence layer connecting them.

What the Operations Team Stops Doing

Before

Three Workflows. Zero Coordination.

Three research workflows. Three databases. A manual process for trying to connect insights across all three. Incomplete results on a delay, consuming a significant portion of the development operation's total research bandwidth.

After

One Dashboard. One Layer.

One dashboard. Three revenue streams. Opportunities ranked by urgency and match score across all three simultaneously. Introduction paths surfaced. Drafts generated. The team acts on intelligence instead of assembling it.

That is the operational transformation that produces three simultaneous revenue engines rather than three underfunded separate operations. It is what Acquire AI was built to deliver.

What the Compounding Intelligence Produces Over Six Months

30DAYS

Calibration

Match scores establish baselines. Connection paths surface. The team learns which opportunities to prioritize and which to defer.

60DAYS

Cross-Stream Connections Appear

A major donor prospect turns out to have a direct relationship with a program officer at a foundation already being tracked. One introduction. Two opportunities. One call advances both.

90DAYS

Corporate Pipeline Moving

Three warm paths to corporate community investment officers. One activated through a board member introduction. The conversation is in its second meeting. No ask yet. The relationship is being built correctly.

180DAYS

Three Engines Producing

New foundations in the pipeline the team had never encountered. Two corporate partnerships in active development. Three major donor upgrade conversations underway with donors giving below their capacity.

The development team did not grow. The team size is the same as it was at the start. What changed is that every hour the team invests in relationship work produces results at a scale that manual research hours never could.

Zero redundancy between streams means every insight compounds across all three. The organization that deploys this architecture for six months does not look like a more efficient version of its former self. It looks like a different organization entirely.

Built for nonprofits. Not adapted for them.

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