GrantedAI source record.
This page presents a held funder-owned source excerpt. It does not decide whether any person or project qualifies, should apply, or will receive funding.
Granted.AI - Neural Access Control
| Funder | GrantedAI |
|---|---|
| Saved page class | funder homepage Page class describes the saved route only. It does not state whether a programme is open, closed, suitable, available, or an endorsement. |
| Status | not stated by funder |
| Amount | not stated by funder |
| Deadline | not stated by funder |
| Eligibility | not stated by funder |
| Held-source observation | Last material byte change observed 3 days ago · last observed 20260821T231950Z · source signal only |
| Held grant-history observation | No explicit programme-to-dataset mapping with a dated held record is available. This does not state there is no grant history. |
Held source excerpt
Granted.AI - Neural Access Control Granted.AI Features How It Works Use Cases Pricing Playground MCP Demo Login Neural Access Control Access without passwords. Revolutionary cryptographic verification that works offline. Grant access through trusted credentials, not passwords. No servers required. Try Interactive Demo See MCP Protection Content-Based Verification Access granted by possessing cryptographically-signed credentials from trusted authorities. No passwords to remember or steal. True Offline Capability Verify credentials without internet access. Our lightweight engine runs locally on any device. No server round-trips required. Zero-Knowledge Architecture Authorities never see your data. Verification happens locally. Privacy-first by design, not by policy. The future of access control Traditional authentication relies on secrets—passwords, tokens, keys. Granted.AI uses cryptographic verification instead. Your device proves it has credentials signed by a trusted authority. No Password Database Nothing to steal, nothing to breach Works Offline Verification runs locally on-device Authority-Based Trust Di
docs_evidence/funding-radar/official-pages/20260821T231950Z/grantedai.html · sha256 3483b56afbac50793a5fb369e681e2e44921f0b8ab09725fc1aa6bb21a70420f · saved and fingerprinted 20260821T231950Z · held page title and funding-related excerpt
The funder statement is retrieved evidence only. Held-source observation is a byte-change signal only. Neither signal determines eligibility, fit, application strength, likely outcome, or programme availability.