Arbor is an autonomous AI agent that screens applications, scores proposals, distributes funds, and monitors compliance — without a single human in the loop.
Every foundation starts with good intentions and a spreadsheet. Three rounds in, they're drowning. Hundreds of applications, each requiring evaluation across technical merit, team credibility, strategic fit, and budget reasonableness.
Humans can't scale. Committees can't move fast enough. Decisions get delayed, quality drifts, biases creep in. The result: good projects slip through, bad projects get funded, and the program loses credibility.
Arbor changes the math. The agent evaluates every application against your criteria — consistently, instantly, without fatigue. It surfaces anomalies for human review, handles the edge cases, and keeps the program running at scale.
Arbor pulls applications from your form stack (Typeform, Notion, Gitcoin), parses responses, and builds applicant profiles automatically.
Each application is scored across technical merit, team history, strategic fit, and budget合理性. Criteria are configurable per round.
Arbor generates ranked recommendations with explanations. You review, approve, or adjust. The agent learns from your feedback over time.
Approved grants are sent to payment infrastructure (via Gnosis Safe, crew3, or direct multisig). Compliance monitoring runs continuously post-distribution.
Every application evaluated against the same criteria. No committee fatigue, no geographic bias, no gut-feel decisions.
Set your own scoring rubric per grant round. Technical depth, community impact, strategic fit — your weights, your rules.
Post-distribution tracking: deliverables check-ins, milestone verification, fund utilization monitoring. No surprises.
Grants don't sleep. Arbor processes applications 24/7 and escalates only when human judgment is genuinely needed.
No more manual triage. No more spreadsheet reviews. No more delayed rounds. Arbor runs your grant program at the speed of autonomous — so you can focus on building the ecosystem, not managing it.