We build local, privacy-first agentic software for organizations that cannot afford an AI mistake.
The architectural choices that make a chatbot flexible become critical liabilities in regulated environments.
“Regulated sectors cannot deploy current AI safely.”
Across every high-risk sector, regulatory mandates are forcing a reckoning with AI governance.
Each layer enforces accountability constraints before passing execution to the next.
Every weight update, parameter change, and inference decision is logged with cryptographic timestamps.
Reinforcement learning operates strictly within ethical and legal boundary conditions.
Real-time decision paths are fully traceable, explainable, and tied to a specific reasoning chain.
Adaptive consensus voting across specialized agents.
Nodes, edges, and attributes with adaptive compression.
Facts and logical rules with forward/backward chaining and Bayesian inference.
Vector embeddings, semantic similarity, and contextual retrieval.
All results are from actual benchmark runs — mock benchmarks excluded.
HELM Ethics domain 2026: Natali AI leads at 0.91.
An AI agent operating on demo trading, with adaptive strategy inside defined learning limits.
Immediate demo trading deployment, no complex configuration
No setup cost, no capital at risk
Performance and risk metrics shared in real time
Architecture tested under live market conditions
The pilot model limits NATALI AI's financial exposure while preserving full conversion potential.
Two independent measurements of the same decision pipeline.
Simulated results on real Bybit data and demo trading with virtual funds, not a verified live track record. Past performance is no guarantee of future results.
A low-risk, high-trust commercial structure for regulated enterprise buyers.
A disciplined, milestone-driven plan anchored to concrete metrics at every stage.
Architecture stress-tested under live conditions.
Expansion into finance, energy, and institutional clients.
Vertical expansion into robotics, healthcare, and industrial processes.
Agent marketplace launch and full EU AI Act certification.
18 months of independent R&D in multi-agent systems, reinforcement learning, and governance AI.
This section covers equity investment in NATALIA, separate from the client-facing trading pilot above.
Bottom-up TAM from FINMA 2025 and MIMIT registers. Full business plans available on request.
3.75% of net profit to a charitable foundation, plus statutory bans on weapons, data sales and mass surveillance.
The vision: local AI, ethics by architecture, privacy and total auditability.
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Go to the form →Aggregate system metrics and a call with the founder.
A multi-agent governed AI system for high-risk, regulated sectors.
The pilot runs 3 months on demo trading at zero cost, with no real capital at risk.
Yes — 100% local deployment, full audit trail, 92.5% EU AI Act and 95.4% GDPR compliance on real benchmarks.
Trading and finance, banks and fiduciaries, fraud detection, energy, robotics, healthcare, and public institutions.
In Genoa, Italy and Lugano, Switzerland. Founded by Riccardo Gaetti.
No — it's a multi-agent governance architecture for regulated decisions, not a conversational assistant.
Three phases: zero-cost pilot, 24-month enterprise contract, then sector expansion.
Demo trading, zero cost, immediate exit.
