Vision

At AxiomIX, we are building the future of algorithmic trading—an autonomous, AI-driven ecosystem that integrates multi-agent architectures, real-time decision-making, and robust risk management system

At AxiomIX we’re building the world’s first truly AI-first agentic algorithmic trading platform for digital assets, where specialized AI agents orchestrate the entire lifecycle of trading—research, strategy creation, execution, risk monitoring, and ongoing optimization, both in DEFI and CEFI realms.

Market Opportunity: Digital asset markets have grown exponentially, yet most trading firms rely heavily on manual oversight or isolated automation. Our AI-powered architecture will eliminate human bottlenecks and dynamically optimize strategies to capture alpha in fast-moving crypto markets.

The Problem

• Manual Strategy Management: Current processes are often manual and prone to human error, which slows down discovery and execution of alpha-generating strategies.

• Scaling Challenges: Gathering, cleaning, and analyzing vast amounts of real-time data requires significant computing resources. Traditional “monolithic” systems cannot adapt quickly to changes in market conditions.

Agent-Oriented Design

We are working on a proprietary multi-agent system enabling dynamic, decentralized decision-making for optimal trading execution. Key components of our stack include:

• AI-Driven Strategy Agents: Utilizing LLMs, reinforcement learning (RL), and machine learning (ML) models to identify profitable trading opportunities.

• Event-Driven Execution: High-speed order placement through Zenoh-powered pub/sub messaging, leveraging low-latency collocated trade servers on AWS and Alibaba, cross-connected for minimal latency

• Real-Time Data Processing: Ingesting and analyzing data using Mage, Bytewax, RedPanda, and a ClickHouse-based data lake.

• Risk Management AI: Monitoring market exposure, volatility, and liquidity in real time to optimize position sizing and optimize risk.

• DevOps & Security: Automated deployment via Ansible & GitHub Actions, secure network integration with Tailscale, and custody solutions via Fireblocks

• Current Stack: Zenoh, SLURM, JuiceFS, Clickhouse, Redpanda, Ansible, Github Actions, Hetzner, AWS, Alibaba, BSO, Rust, Python, Loki, Grafana, Bytewax, Mage, Phi-data, BSO, TensorFlow, Pytorch, NumPy, SciPy, XGBoost, 1Token

Orchestrator

By weaving in our existing technologies—ClickHouse, RedPanda, Bytewax, Mage, AWS/Alibaba trade boxes, Hetzner HPC, Loki, Grafana, Tailscale, and Fireblocks — we can build a robust AI-first agentic trading stack. Each agent (strategy, execution, risk, data ingestion, etc.) can tap into:

• Real-time data (RedPanda + Bytewax + Market Data Nodes -> ClickHouse / Postrgres DB),

• Large-scale computational resources (Hetzner HPC + SLURM + S3/JuiceFS),

• Automated operational workflows (Ansible + GitHub Actions + Rust-based SDK),

• Observability (Loki + Grafana), 1Token for metrics and risk management API.

• Secure connectivity (Tailscale for secure networking, Fireblocks for custody)

Implementing an Orchestrator Agent—potentially enhanced by LLM-based reasoning under an LLM ops platform—ensures all specialized agents collaborate, scaling our research, risk management, and execution processes to an AI-first future. By leveraging multiple specialized AI agents—each equipped with the right tools and aligned by a central orchestrator—we can automate nearly the entire trading lifecycle. Over time, the system self-improves through feedback loops: data -> strategy updates -> execution & risk feedback -> new data. This creates a robust framework for an “AI-first” algorithmic trading firm capable of scaling in complexity and sophistication while maintaining a clean separation of concerns and well-defined agent responsibilities.

Mission Statement

At AxiomIX AI, our mission is to harness cutting-edge artificial intelligence to redefine global trading. We strive to build a fully AI-centric powerhouse that operates with unparalleled efficiency, seamlessly crossing market boundaries to deliver superior insights, performance, and value. By continuously innovating and refining our technologies, we aim to shape the future of trading—empowering clients, partners, and stakeholders to thrive in a rapidly evolving financial landscape.