Not prototypes or demos -- real autonomous systems managing capital and processing data around the clock.
A multi-strategy autonomous trading system that executes, manages risk, and improves itself -- with zero human intervention.
Manual crypto trading is emotionally driven, inconsistent, and can't operate around the clock. A human trader makes impulsive decisions under pressure, misses opportunities during sleep, and can't simultaneously monitor dozens of signals across multiple strategies. The result: inconsistent returns, blown stop-losses from panic, and missed 3 AM setups.
Built a multi-strategy autonomous trading system with AI-powered risk management. Multiple independent strategy agents run concurrently, each specializing in a different market pattern -- momentum, whale order flow tracking, regime detection, and more. A central risk engine enforces position limits, drawdown protection, and capital allocation while a nightly learning daemon (Ralph) analyzes all trades and auto-tunes parameters.
An AI-powered knowledge engine that transcribes, extracts entities, maps relationships, and creates a fully searchable knowledge graph.
Valuable knowledge locked in videos, podcasts, and long-form content is impossible to search or connect. A single 2-hour podcast might contain dozens of actionable insights, references to people and companies, and connections to other topics -- but none of it is indexable. Traditional note-taking captures fragments; the relationships between ideas are lost entirely.
Built an AI-powered knowledge engine that ingests content from any format, automatically transcribes audio/video, extracts named entities using NLP, maps relationships between entities across all ingested documents, and surfaces everything through full-text search and an interactive knowledge graph. Available as both a desktop app (Tauri) and web SaaS.
These are the kinds of systems we build. If you have a problem that needs an AI agent -- not just an AI feature -- let's talk.
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