Markets reward intelligence,
not intuition.
Every competitive advantage in trading eventually becomes infrastructure. We're building the infrastructure from day one.
AI is the edge
Financial markets are information-processing machines. The participant with the best signal extraction wins. Our systems process market data continuously, finding patterns human traders cannot see and acting on them without hesitation or emotion.
Vertical integration
We built our own ML framework. We control the full stack from tensor operations to order execution — no dependency on Python runtimes, no vendor lock-in, no performance ceilings we can't break through ourselves.
Compounding advantages
Technology improves. Track records lengthen. Data accumulates. Relationships deepen. Every quarter we operate, the business becomes harder to replicate. We're not chasing a single edge — we're building a machine that finds the next one.
Two systems. One objective.
One system trades. The other thinks. Together, they form a vertically integrated trading intelligence that improves itself continuously.
Trading Engine
Our trading system ingests market data, runs model inference, enforces risk limits, and executes orders — autonomously. The full signal-to-order loop runs without human intervention.
Every model is validated before it trades. Automated retraining keeps strategies current. Real-time risk controls protect capital around the clock.
Zerfoo
A production-grade ML inference and training framework written entirely in Go with zero CGo dependency. Runs 6 model architectures at 245 tok/s — 20% faster than Ollama. Every trading signal we generate flows through Zerfoo inference.
Open source under Apache 2.0. 25+ custom CUDA kernels. OpenAI-compatible API. The Go ecosystem's answer to PyTorch.
One language. One codebase. Zero compromise.
Most quant firms stitch together Python for research, C++ for execution, Java for infrastructure, and pray the interfaces don't break. We write everything in Go — from CUDA kernel bindings to REST APIs to model training.
Single binary deployment. No runtime dependencies. No GIL. No framework lock-in. When we find a bottleneck, we fix it in the same language the rest of the system speaks.
Proof, not promises.
Every model passes through a rigorous validation pipeline before it touches real capital. No lookahead bias. No curve fitting. No exceptions.
A decade of compounding.
We think in decades. Each phase builds the foundation for the next — expanding into new markets and compounding both capital and capability.
First Capital
Live trading with real capital. Automated model retraining. Real-time risk controls. Proving P&L in production conditions.
Expansion
New asset classes. Multi-strategy portfolio management. 12-month audited track record. Institutional-grade reporting.
Scale
Fund launch. Global markets. The system expands into new territories and begins discovering strategies autonomously.
Apex
Full-spectrum market coverage. The world's most valuable trading intelligence — built by machines, for machines.
Our ML engine is open source. On purpose.
Zerfoo is the ML inference framework that powers every trading signal we produce. We open-sourced it because the best infrastructure gets built in the open — by the community, for the community.
A stronger foundation benefits everyone. What we build on top of it is ours.
Explore Zerfoo →"I spent eight years watching human emotion destroy perfectly good trading strategies — including my own. So I decided to remove the human from the loop entirely."
David built distributed systems at scale at Zendesk, then taught himself machine learning from first principles. Feza is not a side project or an experiment — it's the convergence of deep infrastructure expertise and an obsessive conviction that markets belong to machines.
One founder. A fleet of AI agents. Building the most automated trading company on earth.