Replacing static accounting with fully homomorphic multilateral debt netting and equity swaps. FluidCluster 2.0 dissolves supply-chain payment gridlock blindly, securely, and at the speed of light.
Experience our decentralized Sovereign Liquidity Computer in real-time. Interact with key economic corridors and simulate high-frequency multilateral netting.
Configure regional parameters of the Zama fhEVM Coprocessor on-the-fly.
Over €97.5 Billion in working capital is chronically trapped in supply-chain payment gridlock across the Eurozone. Traditional methods for discharging obligations remain stagnant, relying on high-cost factoring and debt financing that inflate balance sheets.
Unifying classic executive accounting architectures with native, state-of-the-art cryptographic engineering to dissolve liabilities autonomously.
Utilizing Fully Homomorphic Encryption (FHE) to keep business and consumer secrets sealed inside local ERPs, sending only encrypted tokens to central servers.
Replacing slow, manual balance settlement with automated, zero-dongle client applications that trigger matching the exact millisecond cycles close.
Our architecture is built on the convergence of advanced mathematics, privacy-preserving cryptography, and optical physics.
By mapping debts into an encrypted network graph using Torus FHE (TFHE), we run multi-party debt clearing blindly. System operators and central databases calculate exact debt set-offs without ever "seeing" the nominal values of invoices or the identity of counter-parties.
// Summing encrypted liabilities on-chain
euint64 totalDebt = FHE.add(debtA, debtB);
ebool condition = FHE.lte(totalDebt, liquidity);
euint64 netted = FHE.select(condition, totalDebt, FHE.asEuint64(0));Standard silicon CPUs choke on the multiplicative depth and noise bootstrap limits of high-degree FHE polynomials. FluidCluster 2.0 delegates heavy matrix-vector multiplication directly to specialized photonic integrated circuits (PICs), solving complex network graphs at the speed of light.
A decentralized network of 10 specialized AI agents operates within isolated Trusted Execution Environments (TEEs) to manage the entire credit lifecycle. From the "Aggregation Agent" parsing local SAF-T files to the "Fusion Agent" matching cross-border credit pools, the swarm acts as an autonomous, non-custodial broker.
Homologated under Regulatory Sandbox ZLT#13 with strict oversight from national financial and cyber-security watchdogs.
Empirical evidence of massive capital optimization, transforming dormant receivables into instant on-chain liquidity.
Consistent, flawless execution across 45,000 atomic clearing cycles utilizing Digital Euro rails.
Resolves systemic liquidity traps by neutralizing reciprocal supply chain debts without moving central bank reserves.
Direct administrative workload eradication via automated ERP data ingestion and instant ledger sync.
Led by specialists combining institutional treasury management with deep-tech cryptographic research.
Fintech Specialist & Economist. Over 4,150 hours of intensive software engineering and R&D. Academic excellence in Systems Analysis and Advanced Python Architectures (20/20). Former executive CFO/COO with 8 years of transactional portfolio management at Eurofactor (Crédit Agricole) and Santander.
Systemic Risk Architect & Academic. Creator of the Clearing House Model (CHModel). Pioneer in financial network analysis (FNA) and the mathematical translation of Decreto-Lei no. 150/2019 into programmatic smart contract logic.