💰 FUNDING NEWS: Hushh.ai Secures $5 Million Strategic Investment from hushhTech.com's Evergreen Renaissance AI Fund
💰 FUNDING NEWS: Hushh.ai Secures $5 Million Strategic Investment from hushhTech.com's Evergreen Renaissance AI Fund
💰 FUNDING NEWS: Hushh.ai Secures $5 Million Strategic Investment from hushhTech.com's Evergreen Renaissance AI Fund
🚀 Hackathon for Our Open Source Protocol: Hushh Modular Consent Protocol for Agent to Agent Personal Data Agent ScenariosClick to Join →
🚀 Hackathon for Our Open Source Protocol: Hushh Modular Consent Protocol for Agent to Agent Personal Data Agent ScenariosClick to Join →
🚀 Hackathon for Our Open Source Protocol: Hushh Modular Consent Protocol for Agent to Agent Personal Data Agent Scenarios
Hushh Grid
Run your agents. Anywhere. Securely.
Hushh Grid is the scalable compute backbone for your Personal Data Agents — built for privacy-first logic and real-time, consent-native execution
What Is the Hushh Grid?
Hushh Grid is a distributed, agent-aware compute environment designed to run modular AI agents, enforce consent boundaries, and scale on demand across edge and cloud
Replit-style instant sandboxing
MCP (Micro Consent Protocol) handlers (extended and inspired from opensource Model Context Protocol by Anthropic team)
On-device, in-browser, and cloud-run logic
Agent-to-agent (A2A) and agent-to-knowledge (A2K) interaction support
It's like Kubernetes, but for personal AI. Consent-aware. Resource-smart. Always accountable
Apps are static.
Agents are alive.
Hushh Grid keeps them
breathing
Grid
Capabilities
Real-Time Ops
Agents execute operations instantly via signed instructions
Micro VM-style Envs
Run ephemeral, secure sessions for each agent task
Consent Boundaries
Every compute call passes hushh.link.verifyConsent()
Plug-in AI Modules
Bring your own OpenAI, Gemini, Claude, Mistral endpoints
Grid
Capabilities
Real-Time Ops
Agents execute operations instantly via signed instructions
Micro VM-style Envs
Run ephemeral, secure sessions for each agent task
Consent Boundaries
Every compute call passes hushh.link.verifyConsent()
Compute Call
Consent Verification
Plug-in AI Modules
Bring your own OpenAI, Gemini, Claude, Mistral endpoints
Agent Runtime Principles
Stateless when possible, stateful via Vault only
Sandbox per request
Opt-in sharing with other agents only via signed MCP token
TTLs and scope checks enforced on every execution
Every transaction is cryptographically logged and distributed via Hushh Flow.
Sample Usecase
Run my daily summary at 7am with updated calendar + email context
Query Vault for spending over ₹10,000 in last 30 days, trigger flow if true
Match friend's Spotify mood to my saved music tags — suggest meet-up song
Run my daily summary at 7am with updated calendar + email context
Query Vault for spending over ₹10,000 in last 30 days, trigger flow if true
Match friend's Spotify mood to my saved music tags — suggest meet-up song
Agent Stores + Marketplace Integration
Deploy directly to:
OpenAI Agents store
GitHub Action templates
Salesforce AppExchange
GCP Marketplace
Build once, run anywhere. Sell agents like apps, backed by Grid
Security & Privacy
Agent runs behind Vault and Link
Granular compute metering and user-aware rate limits
Audit logs for every function, user, scope, and outcome
E2E encrypted job tokens for long-running agent logic
Reach out to us
Have questions about Hushh? We'd love to hear from you. Send us a message and we'll respond as soon as possible.
Connect with Hushh
Say something to reach out to us
Future of Digital Identity & Personalised Experiences
Manish Sainani, 2025
Support
Download
Contact
Future of Digital Identity & Personalised Experiences
Manish Sainani, 2025
© 2025 HushOne Inc. All rights reserved.