AI-Native
Hedge Fund
Autonomous systems in a closed loop with global markets. We sense, decide, and execute—24/7, at the speed of opportunity.
→ proximity to markets + autonomous infrastructure = edge
The Closed Loop
Markets never sleep. Neither do our systems. Our infrastructure creates a continuous loop of sense, decide, and act.
INGEST
Raw Signal
Markets broadcast 24/7. Our systems ingest terabytes of data across equities, futures, and derivatives—processing what humans can't even perceive.
PROCESS
Agentic Decisions
Autonomous agents evaluate opportunities in milliseconds. Risk models run in parallel. Decisions emerge from systematic evaluation, not human intuition.
EXECUTE
Closed Loop
Orders flow back to exchanges instantly. Results feed forward into the next cycle. The loop repeats—every second, of every minute, of every trading day.
Proximity Matters
Being milliseconds closer to exchanges isn't luck—it's architecture. Our data centers create a geographic mesh that puts us within single-digit milliseconds of major exchanges.
But proximity alone isn't enough. We've coupled low-latency infrastructure with autonomous systems that can act on opportunities faster than traditional human-in-the-loop operations.
$ Speed without secrets. Execution without exposure.
San Jose, CA
West Coast Hub
Phoenix, AZ
Southwest Hub
Los Angeles, CA
Pacific Hub
Texas
coming soonTXSE — Coming Soon
Built for Autonomy
Three interconnected systems—each purpose-built, each production-hardened. A trading engine, a command interface, and an AI gateway working in concert.
Trading Engine · Rust + Python
Execution Core
High-performance trading engine written in Rust for predictable latency, with a Python layer for ML model development and live strategy research.
Command Interface · TypeScript
Trading Terminal
Real-time terminal UI for monitoring positions, issuing commands, and inspecting system state. Built for the operators who work alongside autonomous agents.
AI Gateway · TypeScript
Agent Communication
Multi-channel AI gateway routing between agents, humans, and external systems. The connective tissue that makes agent-first architecture practical.
Philosophy
Agent-First
Every system is designed for agents to operate, not humans to babysit. We build tools that let machines do the work and humans set the boundaries.
1// Autonomous trading loop2async fn run(agent: &mut TradingAgent) {3 loop {4 let signals = ingest_market_data().await;5 let decision = agent6 .evaluate(signals)7 .await;8 if decision.should_act() {9 execute(decision).await;10 }11 // Repeat. Forever. No human needed.12 }13}↓ Production Rust. Real ML. No toy examples.
Built for Sophisticated Partners
115 Trading does not operate with a human team—we run on agents. What we are looking for are capital partners and institutions who understand what a fully autonomous fund looks like and want early exposure to it.
Family Offices
Allocators seeking systematic, AI-driven returns uncorrelated with traditional strategies. We offer a differentiated approach to quantitative trading built on autonomous infrastructure.
Hedge Funds
Sophisticated managers looking to understand or co-develop AI-native trading architecture. We are open to knowledge exchange and infrastructure collaboration with the right partners.
Strategic Partners
Institutions operating at the intersection of technology and quantitative finance. If you are building at this frontier and see the value of agent-first systems, we want to talk.