DAOLYTICA – Next-Generation Platform
Next-gen platform uniting tech, data, and connectivity.
Decentralized Intelligence. Transparent Access. Absolute Control.
Where AI Meets Blockchain for Verified, Secure Insight.
Decentralized Autonomous Organisation Analytics
I began in fusion research, working on lasers and plasmas, and now lead cross-disciplinary teams that translate experimental energy science into real-world data systems. My work feels more like a passion than a job. In parallel, building on my experience, I saw how advanced technology can make everyday decisions easier, so I develop tools that help people manage information without hassle. Security and privacy are core principles, ensuring users stay in control of their data. I am building a sandbox where AI agents handle highly sensitive information with confidentiality at the center, using tokens and a blockchain network as a trusted layer to keep data access transparent and fair. Today, I focus on turning complex science into simple tools that people enjoy using. Connect with me on LinkedIn.
Understanding Blockchain Technology
Explore how blockchain technology, smart contracts, and token economics can power decentralized AI systems. Click on the educational cards below to learn more about the fundamental concepts.
Trust Vector Ethereum Core
Click to learn about our experimental token
Trust & Transparency
Click to understand blockchain fundamentals and verification
Real-World Signals
Click to learn how sensor networks feed DAOlytica
Cross-Chain Technology
Click to learn about blockchain bridges and interoperability
Private Ethereum Layer
Click to see how DAOLYTICA uses on-prem validators
Platform Access
Click to understand utility tokens
Human-in-the-Loop
Click to explore guided AI orchestration
AES-GCM Security
Click to see how authenticated encryption protects agents
From the React dashboard to blockchain-anchored evidence
The diagram above compresses our production stack into five tightly coupled streams. Users interact with a React + MetaMask dashboard, requests traverse the API gateway, orchestration services map the workload, sub-agent clusters execute tasks over NATS JetStream, and finalized evidence is sealed inside smart contracts on Sepolia. The view below preserves that methodology in a simplified flow.
React/ethers.js dashboard pairs with MetaMask for registry actions, token transfers, and transaction signing.
FastAPI gateway authenticates users, rate-limits requests, and routes them into the orchestration fabric.
Python orchestration decomposes jobs, manages clusters, and prepares Merkle roots alongside policy and audit services.
NATS JetStream fans work out to plainer/retriever/evaluator agents. Clusters scale horizontally per workload.
Merkle logs anchor to AuditAnchor.sol, TVEC handles token economics, PostgreSQL/WitnessDB retain artifacts, and VecDB stores embeddings.
Every flow follows the same loop: collect → orchestrate → verify → anchor. Roots are computed before a single TVEC is released.
Merkle log service, policy API, and registry sync jobs provide continuous telemetry covering both AI agents and blockchain writes.
AES-GCM encryption, allow-listed contracts, and authentication service enforce the same controls illustrated in the full architecture.