Northgate Ventures
Corporate
Find the funding, raise the money, run the programs it pays for, and prove what it did. One platform for federal agencies, universities and foundations.
Discover. Every US foundation from its 990 filings and every open federal program, ranked against your funding profile.
Illustration of Find funding, the Matches view: foundations and federal programs ranked against the funding profile, each with a fit word and score, with Add to pipeline and Dismiss.
Find funding
38 matches · Best fit first
Raise. Grants you are writing and donors you are courting, and the gifts they bring, in the system that runs the programs.
Illustration of the Pipeline, Donors tab: people and businesses on a board, by stage, with what each has given and when.
Pipeline
7 in pipeline · $57,200 received
Prospect 2
Northgate Ventures
Corporate
Priya Natarajan
Parent, class of 2027
Cultivation 3
Lena Marsh
Alumna, 2009
Harbor Point Bakery
Local business
Tomás Bello
Alumnus, 2014
Donor 2
Ruth Castellano
Trustee
Okafor Family
Alumni
Drag a card to move a donor between stages.
Run. Review, awards, disbursement, compliance and closeout, with Phoenix carrying the routine.
Illustration of the program dashboard: totals, the applicant funnel and fund utilization.
Program dashboard
Academic year 2025–26
Applications
1,783
In review
612
Awarded
418
Disbursed
$2.48M
Applicant funnel2,450 applicants
Fund utilization
$12.1M allocated
$2.48M awarded, 20%
$9.62M remaining
Prove. Reports, dashboards and donor impact statements from your own data.
Illustration of a Phoenix report: awards by academic year, visualized as a bar chart.
Visualize report
Awards by academic year · 618 records
Trusted by federal agencies, universities and foundations, including the U.S. Air Force and Department of Defense.
Every US foundation from its IRS 990 filings, with what it actually gave, and every open federal program from Grants.gov. Phoenix ranks each one against your profile, explains why, and reads the best fits’ own websites for how to apply.
Illustration of Find funding, the Matches view: foundations and federal programs ranked against the funding profile on the left, each with a fit word and score, and on the right the open match with why it fits, what to watch out for, the next step, the record at a glance and how to reach the funder, read from its own website.
Find funding
Foundations and federal programs that fit your funding profile, best fit first.
Anderson Foundation
DismissOpen draftAdd to pipelineFoundation Austin, Texas EIN 74-2468135 Source record
Paid 14 scholarship grants in Texas last year, three of them to first-generation programs.
At a glance Phoenix’s summary of the record
Why it fits Phoenix’s read
Watch out: it gives first in Central Texas counties.
Next step: send a letter of inquiry before March 1.
How to reach them
From their website, read this morning. Where it disagrees with the 2025 filing, the website wins.
Sources
Fit
Your profile lists first-generation students and STEM education. Its recent grants fund both, and its median grant sits inside the range you award.
One pipeline for the grant you are writing and the donor you are courting, with an award recorded as a gift so the money is counted once. Campaigns and online gifts run in the same system as the programs, so the thank-you can say what the gift did.
Illustration of the email drafts queue: drafts written by Phoenix for individual donors, one open for review beside its research, with save, reject and approve controls.
Email drafts
Review Phoenix-generated emails before they’re sent.
Ruth CastellanoApproved
What your January gift made possible
Lena MarshDraft
A thank-you, and what came next
Okafor FamilyDraft
Your December gift, one term on
Lena Marsh Draft
Alumna, 2009 gave $2,500 to STEM Advancement, March 2025
Subject
A thank-you, and what came next
Dear Lena,
Your gift to STEM Advancement in March went further than you might expect. This year the fund awarded 12 scholarships to first-generation students, and every one of them is enrolled for the fall.
…
Figures stay exactly as reported; recipients are never named.
Campaigns
$136,400 of $200,000
Outreach
To Lena Marsh A thank-you, and what came next
Your gift to STEM Advancement in March went further than you might expect. This year the fund awarded 12 scholarships…
Most platforms collect applications and stop. This one carries on to review, awards, disbursement, compliance and closeout.
Illustration of the review queue: applications on the left, each already summarized, and the open application on the right with the Summary Agent's picture of the applicant and a suggested score.
Review queue
Fall 2026 scholarship assigned to you
Maya Okonkwo
First-generation Caldwell County GPA 3.7
In brief
First in her family to apply to college. Two years of after-school tutoring at the county library and a part-time job through both. Wants to teach math in the same district. Essay is specific about a teacher who changed her plans; the budget adds up.
Need
Meets threshold
Essay
Likely human-written
Suggested score
4.6 of 5
Suggestions are yours to accept, adjust or ignore. The committee decides.
Review
AI agent · Anti-AI
Shown to the reviewer beside the essay, never to the applicant, and never as a score.
Describe what you need to know and Phoenix Copilot reads your data and builds the report. Donors get their own: what their giving funded, by fund and year.
Illustration of sending an impact report to a donor: a preview of the email with what their giving funded, awards by academic year, the campaign they joined, and the choice to send it as is or create an editable draft.
Send impact report
To Ruth Castellano · what her giving funded
Dear Ruth,
Here is what your giving to STEM Advancement made possible this year.
You gave
$45,000
January 2026
Students awarded
96
2025–26
Awarded from the fund
$1.42M
2025–26
Awards by academic year
Create a draft to edit the wording or have Phoenix rewrite it, or send it exactly as previewed. Skipped if the donor has unsubscribed; the send is logged.
Phoenix Copilot
Which reviewers are behind?
Three reviewers have applications past the deadline. 16 overdue of 63. Want me to draft a reminder?
Donors
Ruth Castellano STEM Advancement
You gave
$45,000
Students
96
From the fund
$1.42M
Fifteen years of running awards programs, rebuilt so Phoenix, the AI inside CommunityForce, works at every stage: it ranks the opportunities, drafts the thank‑you, summarizes the application and builds the report.
Illustration of Phoenix Copilot docked beside the program dashboard, answering which reviewers are behind.
Program dashboard
Academic year 2025–26
Applications
1,783
In review
612
Awarded
418
Disbursed
$2.48M
Applicant funnel2,450 applicants
Three reviewers have applications past the review deadline. Here they are, most overdue first:
| Reviewer | Assigned | Overdue |
|---|---|---|
| M. Okafor | 24 | 9 |
| J. Lindqvist | 18 | 5 |
| R. Patel | 21 | 2 |
16 overdue of 63 assigned to these three. Everyone else is on time. Want me to draft a reminder?
Ask Phoenix Copilot…
Phoenix Copilot can make mistakes. Verify important information.
Phoenix Copilot: your AI assistant for awards programs
Type the way you’d talk to a colleague who knows awards programs inside out. Which reviewers are behind? How does this year’s pool compare with last? Phoenix Copilot goes and looks in your live data, every record, not a sample, and comes back with the answer and a report you can keep. Ask it to build the report or draft the email, and it shows you exactly what will happen before it happens. Nothing lands until you say so.
Meet Phoenix CopilotPhoenix supports the committee rather than replacing it. Every suggestion is a person’s to accept, adjust or ignore, and your data is never used to train AI models.
How we handle AI and your dataPhoenix Agents
Three read every application before a reviewer opens it, so the committee starts from a page that already makes sense. Three more work on a schedule: the Funding Scout Agent refreshes your funding matches every morning, the Donor Outreach Agent drafts a note to each donor who has gone quiet, and the Donor Digest Agent briefs the team each week. None of them sends to a donor or a funder.
AI agent · Summary
It reads the whole application first: who they are, what they are asking for, what stands out. The full application is one click below, so nothing is skipped.
AI agent · Anti-AI
It checks every essay and flags the ones worth a closer look, sentence by sentence. A data point for your committee, never a verdict. A person weighs it.
AI agent · Reviewer
Drawn straight from what the applicant wrote, with the reasoning shown. Reviewers accept, adjust or ignore. The score is always theirs.
Over 200 organizations run their awards programs on CommunityForce, including more than $30M in federal contract work, alongside universities, community foundations and nonprofits nationwide.
Federal servicesSpecialized government contracting and AI automation services Explore government services Past performance
Your own environment
A separate database and separate file storage for each customer, not a shared one with a tenant column. How we handle security
QForms is our general-purpose sibling: no-code forms, approval workflows and generated documents for anything that collects data, moves through approvals and ends in a document.
CommunityForce is an AI-powered awards management platform for grants, scholarships, fellowships and research funding. Founded in 2010, it has processed over 165 million applications and facilitated more than $569 million in awards for federal agencies, universities and foundations.
CommunityForce manages the complete lifecycle of grants, scholarships, fellowships and research funding programs, from application collection and committee review through disbursement, post-award compliance, financial management and impact reporting.
Yes. CommunityForce is FedRAMP and SOC 2 Type II certified, and compliant with Section 508 accessibility standards, FERPA and PCI-DSS. Grant programs are supported with 2 CFR 200 Uniform Guidance requirements built in.
Most platforms stop at application collection and basic review. CommunityForce covers the full lifecycle natively: dynamic form building with conditional logic, Phoenix Agents that summarize applications, flag AI-written essays and suggest scores for reviewers, automated quantitative scoring, batch disbursements, post-award tracking, group applications, external recommender workflows, and enterprise reporting with Power BI integration.
More than 200 organizations run awards programs on CommunityForce, including federal agencies, state governments, universities, community foundations and private foundations. Past performance includes program delivery for the U.S. Air Force and Department of Defense.
Find funding, under Discover, holds every US foundation from its IRS 990 filings, with what it actually gave, and every open federal program from Grants.gov, updated daily. Phoenix ranks them against your funding profile, explains why each one fits and reads the best fits' own websites for how to apply. Add a match to the pipeline and it moves through Researching, Writing, Submitted and Awarded or Declined beside the donors you are cultivating, and an award is recorded as a gift from the foundation, so gifts and grants are counted once. Campaigns, online giving, outreach and Fundraising insights run in the same system as the programs the money pays for.
One intelligence, Phoenix, runs across the platform. Phoenix Copilot answers questions about your own programs and data in plain English. Phoenix Agents work on demand or on a schedule. Beside reviewers, the Summary Agent gives a plain-language picture of each applicant, the Anti-AI Agent flags essays that may be AI-written as a data point rather than a verdict, and the Reviewer Agent suggests answers reviewers accept, adjust or ignore. On a schedule, the Funding Scout Agent refreshes your funding matches every morning and drafts first letters to the best fits, the Donor Outreach Agent drafts notes to donors who have gone quiet into an approval queue, and the Donor Digest Agent briefs the development team each week. No agent sends to a donor or a funder. All of it supports the committee rather than replacing it, and your data is never used to train AI models.
Still not sure whether CommunityForce fits your program? Talk to an expert.