Multi-agent equities intelligence · Live

The first AI‑native
hedge fund built on reasoning agents.

Our multi-agent system continuously scores 1,000+ equitiesuniverse~1,000 globally listed equities, monitored continuously — far beyond the 30–50 names a traditional analyst can sustain. on fundamentals, behavior, and regime shifts. Targeting medium-term alpha — not intraday noise. +151.8% since inception vs. +22.6% S&P 500 TR.

agent · scoring · live
online

Exceptional alpha. Verified through paper trading. Ready for capital.

Live since July 2024. 21 months of disciplined, systematic signal extraction. Every decision logged, every trade auditable.

Cumulative return vs. global benchmarks

Quant AI S&P 500 TR VT EFA
Jul 2024 → Apr 2026
+150% +100% +50% 0% -25% Jul'24 Jan'25 Jul'25 Jan'26 Apr'26 +151.8%
Cumulative Return
0.0%
Inception → Apr 2026
vs. S&P 500 TR +22.6%
2025 Net Return
0%
vs. SPY ~20%
50% annualized alpha
Sharpe Ratio
0.00
Sortino 3.78
Max drawdown 13.4%
Information Ratio
>1.9
Tracking error vs. SPXTR 7.1%
Consistent, high-quality alpha

* Paper trading results, July 2024 – April 2026. Past performance does not guarantee future results.

A coordinated AI trading floor — running continuously, across the full universe.

If autonomous AI can drive cars and diagnose disease, it can analyze equities. The technology just became viable: LLM inference dropped 100× in two years.

01

Multi-agent coverage

Specialized reasoning agents — fundamentals, sentiment, regime, flow — score ~1,000 global equities in real time. A single human analyst sustains 30–50.

02

Medium-term horizon

Buy / sell signals targeting 6–18 month holds. We hunt fundamental dislocations and behavioral mispricings — not microstructure noise that HFTs already arbitrage away.

03

Continuous monitoring

Systematic, repeatable scoring across the full universe — 24/7. Every decision logged, every position auditable. Human bias minimized; discipline maximized.

The financial intelligence layer for the AI era.

Aladdin became the risk backbone for $21T in assets. Quant AI is becoming the alpha generation layer — starting with equities, expanding to behavior, private markets, and a foundational financial model.

Phase 01NOW

Agentic AI

  • Multi-agent system for public equities
  • 1,000+ stocks, real-time scoring
  • Live since Jul 2024
Phase 022026

Behavioral modeling

  • Cycle, hype, tax-loss harvesting
  • Flow analysis & positioning
  • Crowd-aware risk
Phase 032027

Private markets

  • VC & PE intelligence
  • Pre-IPO analysis
  • Proprietary private financials
Phase 04HORIZON

LLM → LFM

  • Large Financial Model
  • Cash flows · earnings · GDP
  • Foundational economic AI

A window has opened. Incumbents can't walk through it.

The window

100× cheaper inference
LLM cost per token has compressed by two orders of magnitude in 24 months. Multi-agent reasoning across 1,000+ securities is now economically viable.
Reasoning that holds
Modern frontier models reason about competitive dynamics, qualitative fundamentals, and regime shifts — not just pattern-match.
Real-time fundamentals
Agents react to fundamental news as it breaks — for the first time, at universe scale.

What stops incumbents

Legacy architecture
Bloomberg and FactSet were built for data delivery, not reasoning. A 3–5 year retrofit, minimum.
Innovator's dilemma
$24K Terminal seats fund a $10B model. Why cannibalize the data licensing flywheel?
Org inertia
Banks still run COBOL from 1959. Commonwealth Bank: $750M and five years just to modernize core.

Our asymmetric edge

18–24 month head start
Shipping today. Extensive backtesting and live paper trading complete. Competitors are still planning.
RL infrastructure
12+ months to build, requires live trading data. Once live, it compounds — and others can't shortcut it.
Network effects
Customer feedback → better agents → more customers. Embedded in fund workflows, switching costs are high.

Build the platform or deploy capital with it.

We're raising pre-seed equity to complete the execution layer — and seeking external mandate capital to deploy through it.

Pre-Seed Equity
$4M
Equity capital into the AI-native hedge fund platform. 18-month runway to a fully automated, audit-ready infrastructure.
  • Execution layer · OMS, broker APIs, smart routing, compliance
  • Reinforcement learning loop on live PnL
  • Independent fund administration & audit-ready reporting
For investors →
External Capital Mandate
$100M
Long/short equities mandate, deployed through the existing intelligence layer. 2 & 20. No equity required.
  • Backed by 151.8% inception-to-date TWR · 1.69 Sharpe
  • Market-neutral construction available on request
  • Available to qualified purchasers / institutional LPs only
For allocators →

If algorithms beat discretion for thirty years,
why are we still analyzing stocks with spreadsheets?

We're bringing the Renaissance playbook into the agentic-AI era.

Get in touch