Seraphnet AI
A decentralized platform for ideologically-transparent generative AI applications with a focus on privacy and unbiased outputs.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Seraphnet AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Seraphnet AI is a decentralized base layer designed for developing ideologically-transparent generative AI applications. It offers a multi-layered infrastructure that prioritizes unbiased outputs and data privacy through fully homomorphic encryption (FHE). The platform features components like the Swarm Manager, an intent-sensitive orchestrator for dynamic agent management; Multi-Agent Pods, modular agents utilizing advanced algorithms for collaborative task resolution; and the Forge SDK, enabling model deployment and training in a containerized environment. Seraphnet integrates both on-chain and off-chain data, ensuring accurate and transparent AI operations.
Key features
- decentralized AI
- privacy-focused AI
- unbiased AI
- blockchain integration
- multi-agent systems
Use cases
- Developing decentralized AI applications with a focus on unbiased outputs.
- Ensuring data privacy in AI operations through fully homomorphic encryption.
- Integrating blockchain data with off-chain databases for enhanced transparency.
- Utilizing modular agents for collaborative and efficient task resolution.
- Accessing tools and SDKs for streamlined AI model deployment and training.