> COMPANY_OVERVIEW

Matrix Mechanics is an Austin-based AI research lab and financial technology company. We specialize in applying Large Language Models (LLMs) and predictive machine learning to complex financial markets.

Originally developed as the proprietary infrastructure for our internal quantitative fund, our technology proved capable of identifying asymmetric market opportunities by processing vast amounts of unstructured data in real-time.

Today, we are commercializing these internal tools. We are opening our core architecture to institutional investors, family offices, and quantitative researchers through our flagship enterprise API: The Echelon Platform.

> ECHELON_PLATFORM

The Echelon Platform is our enterprise-grade Generative AI suite, designed to democratize institutional quantitative research.

Core Product Offerings:

• Generative Alpha Agents: Deploy autonomous AI agents that continuously monitor global news, SEC filings, and social sentiment to generate real-time trading signals.
• Natural Language Terminal: Query complex order-book dynamics and historical backtests using conversational AI.
• Matrix API: Direct, low-latency endpoint access for funds to integrate our predictive models directly into their existing execution algorithms.

> AI_INFRASTRUCTURE

To support the massive computational requirements of the Echelon platform and our B2B clients, our architecture is built for infinite horizontal scaling.

We are actively migrating and scaling our workloads on Google Cloud Platform (GCP) to leverage their industry-leading AI ecosystem:

• Vertex AI: Powers the training, deployment, and MLOps of our proprietary time-series forecasting models.
• Gemini: The cognitive engine behind our Natural Language Terminal, processing millions of unstructured financial documents instantly.
• BigQuery: Handles petabyte-scale historical tick-data, allowing our clients to run complex backtests in seconds.

Data Integrations: Databento, Polygon.io, CCData, SEC EDGAR API.

> We are currently hiring Machine Learning Engineers & Cloud Architects. Inquiries: careers@matrixmec.com

> LEADERSHIP

Matrix Mechanics is driven by a core team of quantitative researchers, AI engineers, and data scientists.

Austen

Chief Executive Officer in/austen

Leads the strategic vision and product development of the Echelon platform. Focused on commercializing LLM integrations for algorithmic trading.

Charles

Chief AI Researcher in/charles

Directs the machine learning architecture. Specializes in high-frequency data pipelines, Vertex AI deployment, and predictive alpha generation.

> SECURE_COMMUNICATION

The Matrix Mechanics API is currently in closed beta for select institutional partners. Please contact our enterprise team to join the waitlist.

Headquarters:
100 Congress Ave
Austin, TX 78701
United States

Enterprise Sales & API Access:
api@matrixmec.com

General Inquiries:
info@matrixmec.com