

About Us
About
TA Quant
Institutional-grade crypto trading infrastructure integrating execution, AI-driven systematic trading, and performance-attributed user acquisition into a unified operating system.

Our Mission
To deliver institutional-grade crypto trading infrastructure that integrates execution, AI-driven systematic trading, and performance-attributed user acquisition, making professional tools accessible at institutional pricing levels while maintaining enterprise-grade reliability and transparency.
Our Vision
To become the institutional operating system for professional crypto markets, solving trading infrastructure fragmentation, systematic trading barriers, and unmeasurable growth spend through integrated execution, AI intelligence, and performance attribution.
Key Differentiators
Multi-Layer Architecture
Terminal (execution) + AI (intelligence) + Syndicate (attribution) + Financial Model AI (control) in a closed-loop system
Behavioral State Inference
Proprietary AI modeling trader behavioral states from execution data for adaptive market mechanisms
Institutional Partnerships
Strategic partnerships with leading exchanges delivering professional-grade liquidity and execution quality
Deterministic Infrastructure
Predictable behavior under all market conditions with Rust-native performance and 99.5% uptime

Our Story
Solving Professional Crypto's Infrastructure Crisis
TA Quant was founded to address three fundamental challenges facing professional crypto traders and institutions.
Infrastructure Fragmentation
Professional traders managed siloed accounts across exchanges with inconsistent execution quality and fragmented analytics.
→ Unified multi-venue execution with deterministic behavior
Systematic Trading Barriers
Quant platforms required engineering teams and complex infrastructure, limiting adoption of systematic strategies.
→ Multi-agent AI orchestration with Behavioral State Inference
Unmeasurable Growth Spend
Marketing focused on impressions rather than verifiable trading activity and economic outcomes.
→ Performance-attributed acquisition with fraud-resistant validation

Tyler Leonard
Founder | CEO
“TA Quant is solving the fundamental infrastructure challenges facing professional crypto traders: fragmentation across exchanges, barriers to systematic trading, and unmeasurable growth spend. We're building an institutional operating system that integrates execution, AI intelligence, and performance attribution to deliver professional-grade trading infrastructure.”

The People
Our Team

Owen Ma
Co-Founder | CRO
Revenue architect across financial ecosystems, structuring products, liquidity, and user activity into scalable income systems. Experience across Web3 infrastructure, asset financing, and digital ecosystems.

Ian Stirling
CSO
Financial services and fintech transformation leader with experience aligning strategy, technology, and culture. Led a first-mover licensed digital asset platform rebrand with strong risk and reputation management.

Idon Liu
CTO
Main author of ERstandard, an AI agent certification framework.

Alexia Chen
Head of APAC
Capital markets operator focused on scaling capital flows, payments, and liquidity corridors. Securing institutional capital and partnerships to expand transaction volume, settlement throughput, and network liquidity.

Anne Pal
Head of Media & Brand
Early Web3 brand and media catalyst across digital properties and adoption. Large-scale campaigns driving ecosystem growth and strengthening market positioning.
Advisors

Ryan Rabaglia
Advisor

Rich Robinson
Advisor
Investors
Attribute Capital
X-Founders
+15 Developers, Engineers & Quants
Developing institutional-grade trading infrastructure with expertise in systematic trading, behavioral finance, and market microstructure
