Funding Intelligence · 90-second tour

See how Growth OS turns funding searches into explainable decisions

This focused tour shows the Funding Intelligence workflow. Growth OS extends beyond this flow to institutional CRM, projects, private capital, fundraising, evidence, impact, automations, and governance.

Transcript

How Growth OS AI supports the funding workflow

The full explanation is available on screen, in captions, and in this accessible transcript.

Growth OS AI begins by organizing grants, awards, investments, partnerships, and other institutional leads. It extracts key details such as amount, deadline, geography, eligible population, and missing requirements, while preserving the difference between a grant, an award, an investor, and a potential partner.

Before a record becomes actionable, the system checks the source and its freshness. An official call is not treated the same as an email, a secondary directory, or a social media post. Every recommendation can retain the official source, verification date, unverified fields, and confidence level.

The same opportunity can then be compared across several projects. Geography, population, intervention type, budget, track record, and institutional strategy are assessed separately. Hard blockers—such as incompatible geography, a missing invitation, required financial statements, or an unverified deadline—cannot be compensated by thematic affinity. Growth OS can therefore recommend do not apply and explain why.

Match Score measures real alignment with the funder. Readiness Score measures whether the organization has the documents, budget, evidence, governance, safeguarding, partners, and time required to submit responsibly.

When an opportunity is viable, the Application Workspace brings together questions, character limits, answer versions, approved sources, documents, owners, checklists, and submission confirmation. The Copilot drafts only from approved information, distinguishes historical facts from projections, cites its sources, and flags contradictions before submission.

The result is less scattered research, fewer unsuitable applications, and more institutional control over opportunities that are verified, eligible, and genuinely actionable.