QMI Consulting · Advisory & Build

Institutional AI trading infrastructure, built by people who deploy it in live markets.

We design, build, and deploy the systematic research, signal generation, and risk infrastructure that powers AI-driven trading — for funds and institutions that want results, not slideware. Your desk keeps execution and custody.

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Built by veterans from
Bloomberg Goldman Sachs Morgan Stanley BloombergGPT UAE Technical Analysis Society
01 / Services

A complete systematic-trading stack — across the full decision lifecycle.

We don't sell a course or a deck. We embed with your team and ship production systems: research pipelines, execution infrastructure, and the risk controls that keep them safe.

01.

AI Trading Infrastructure

Design and deploy autonomous, cloud-based signal infrastructure that runs 24/7 — generating clean entries and exits for your desk to execute, with no human error and no emotional override.

  • Multi-exchange order routing & broker integration
  • Real-time position, balance & P&L tracking
  • Circuit breakers and exchange health monitoring
02.

Strategy Research & Optimization

Proprietary distributed genetic algorithms that evaluate millions of parameter sets — backtested across regimes before a single dollar goes live.

  • Distributed genetic-algorithm optimization
  • Walk-forward & multi-regime backtesting
  • LLM-guided strategy pruning
03.

Risk Management Systems

AI-optimized position sizing, drawdown ceilings, and per-symbol exposure limits — tuned per strategy and monitored continuously.

  • Pre-trade risk engine with hard limits
  • Drawdown ceilings & exposure caps
  • Stress testing & scenario modelling
04.

AI Integration & Automation

Embed AI directly into your existing research workflow — surfacing signal earlier and executing faster without rebuilding your stack.

  • Natural-language research & query layers
  • Data pipeline & reporting automation
  • QuantStats analytics & tear-sheet generation
3,900×
Faster optimization vs. legacy terminals
1M+
Strategies evaluated per run
24/7
Autonomous cloud execution
16
Database tables, fully RLS-secured
02 / How We Work

An engagement model
built to ship.

We layer onto your existing process — enhancing it, not replacing it. Decision authority stays with you; we build the systems that make your team faster and more disciplined.

01

Discovery & Audit

We map your current research, execution, and risk workflow — identifying where AI and automation create the most leverage.

02

Architecture & Design

A bespoke systems blueprint: data flows, model integration, hardware-software co-design, and the risk controls that govern it all.

03

Build & Integrate

We embed with your team and ship production code — backtested, audited, and integrated into your existing infrastructure.

04

Deploy & Monitor

Live deployment with continuous monitoring, circuit breakers, and nightly analytics — plus ongoing optimization support.

03 / The Team

Bloomberg veterans who build
and deploy in live markets.

AI experts who can't invest and investors who can't use AI are everywhere. Our team does both — decades of combined experience across quantitative strategy, AI automation, and institutional infrastructure.

Eoghan Leahy

Eoghan Leahy

Founder & CEO

Author, Wiley (AI-Powered Bitcoin Trading, 2024). Former Bloomberg quant strategy & crypto specialist. BloombergGPT contributor. Chair, UAE Technical Analysis Society.

Bloomberg · BloombergGPT
Warren Kavanagh

Warren Kavanagh

Chief Technology Officer

Founder of Aweb Digital — a SaaS, Cloud, AI & Automation agency serving top-tier corporate clients. Expert in automation, AI integration, and product lifecycle management.

Aweb Digital · Cloud & AI
Maurizio Pietrini

Maurizio Pietrini

Chief Product Engineer

Former Bloomberg quant strategy product manager. Builds bespoke systematic pipelines from research signal to live delivery.

Bloomberg · Quant Product
Niall Dennehy

Niall Dennehy

Advisor

Serial founder of AID:Tech and Nestifi. Pioneer in real-life blockchain use cases — digital identity, tokenomics, and fintech distribution.

AID:Tech · Nestifi
Thomas Breen

Thomas Breen

Advisor

Goldman Sachs credit risk principal focused on volatile commodity markets. Expert in financial modelling, risk management and due diligence.

Goldman Sachs · Risk

Work directly with the founders.

Every engagement is led by the people who built QMI's live signal systems — not a junior bench.

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04 / Engagements

Who we work with.

Our consulting is built for institutions that allocate or manage capital and want a durable, systematic edge — not a one-off prototype.

● Strong Fit

Hedge Funds & Prop Desks
You run discretionary or systematic strategies and want AI-driven research and execution infrastructure.
Family Offices & Asset Managers
You allocate capital across alternative assets and need institutional-grade risk and analytics.
Sovereign & Treasury Functions
You require data sovereignty, on-site deployment, and defensible, auditable systems.

○ Less Ideal Fit

Retail Beginners
Looking for signals, tips, or a get-rich-quick trading bot.
Set-and-Forget Investors
Happy with index funds and no involvement in process or infrastructure.
Off-the-Shelf Buyers
Seeking a boxed product rather than a bespoke, integrated system.
Let's Build

Bring institutional AI
to your trading operation.

Tell us where you are today and what you want to deploy. We'll scope an engagement and show you exactly how we'd build it.

Book a Consultation investors@quantmarketintelligence.com