Technology
From foundation models to autonomous execution — a vertically integrated AI stack built for production, not presentations.
Architecture
Each layer builds on the previous, transforming raw data into autonomous action.
Capabilities
Our proprietary multi-context, multi-persona AI framework. Agents maintain separate contexts, role definitions, and tool access — coordinated through typed event buses.
Multi-agent systems where agents deliberate, vote, and reach consensus before acting. No single-model decision-making — every signal is stress-tested by specialized agents.
Not a notebook. Not a demo. Containerized services with event streaming, persistent storage, and managed engines running 24/7.
Deep vertical integration. Our agents are not generic — they encode domain-specific knowledge about market regimes, risk management, growth funnels, and operational workflows.
In Production
Every layer above exists in production, serving real users. Here's what it runs.
18 trading agents across 9 pipeline layers. Typed event bus, synchronous dispatch within a 5-second cycle, async Redis-backed replay for backtesting. Multi-agent consensus decides every trade.
How it works →25 AI agents across 8 divisions. Multi-tenant FastAPI + ARQ worker, encrypted credential vault, Remotion render farm, LLM tier routing (Ollama → Claude → OpenAI). Content publishes only after human approval.
How it works →The same orchestration layer underneath every product: typed events, role-based tool access, event replay, and stateful agent memory. Not a library you install — the substrate every Fortunato product is built on.
Early access →