AI-Native Systematic Investment
Eigen Partner
The model proposes — the math disposes.
The Insight
The densest alpha was never for sale.
Top closed quant fund · ~30-yr CAGR
~8%Same firm · open fund
01
The closed-book paradox
Same team, same building. At a top closed quant fund, its closed in-house book has compounded far above the market for ~30 years, while its open fund tracks the index. No secret: one research capability, two capacity limits. The densest alpha is, structurally, the part outside capital cannot buy.
02
The empty fifth quadrant
Between mega-funds that can afford a $100M research arms race and boutiques that cannot sits an empty quadrant: density-grade alpha still open to outside capital. No incumbent's cost structure could reach it.
03
Why this is possible now
AI-native research resets that cost structure. A small senior team now reaches the throughput that once took dozens — generating, coding and testing hypotheses at machine scale, under human judgment. For a few years, the quadrant is open.
Investment Approach
AI-native, end to end.
Eigen is an AI-native quant fund. Research throughput that once required a hundred-person desk now runs on a handful — density-grade alpha, without the cost structure that makes incumbents dilute it.
AI-native infrastructure
A proprietary stack gives a small team a hundred-person desk's throughput — the cost wall that caps everyone else, gone.
Capacity-aware
Capacity is a governance rule, not a marketing number. When density and scale conflict, we cap scale.
Methodology-portable
The alpha comes from how we research, not where — a new market only re-defines the universe and the regimes.
Research Methodology
The model proposes. A deterministic core decides.
A proprietary architecture: AI agents breed new factors from proven survivors, cross-pollinating temporal, cross-sectional and alternative data into structures human intuition can't see. A deterministic core then validates, constructs and executes. The model proposes; the math decides.
The falsification gate
Most ideas die here. The few that survive ship.
Every arc and backtest is logged to an experiment-and-hypothesis registry — so an industrialized search can't silently overfit or quietly forget. Breadth without the gate is just overfitting; the gate makes breadth honest.
Agentic AI Orchestration
factor mining · regime memory · self-improving loops
- Hypothesise
- multi-agent: propose · critique · synthesise
- Mine factors
- breed from survivors; cross-pollinate
- Monitor
- 24/7 decay & regime; feeds back
↓ the gate
Deterministic Core
reproducible · audit-ready · the numbers decide
- Validate
- walk-forward, regime-tagged — the gate
- Construct
- multi-gate risk
- Execute
- execution algos · kill-switch
The Fund
Atelier No.1
China futures · systematic · multi-asset · multi-signal
Atelier No.1 applies Eigen Partner's research and portfolio architecture within a defined China futures mandate.
Asset class
Exchange-traded Chinese futures — commodities across the industrial complex, plus rates and equity index.
Where the alpha comes from
Many independent signal families, each reading a different market phenomenon, running side by side over a broad instrument universe.
Diversification, enforced
No single sector, instrument or signal family is permitted to dominate the book. The limits are hard, checked every cycle, and the portfolio is scaled back when they bind.
Capacity is defined and deliberately held. Strategy detail and full figures are provided to qualified investors under diligence.
Target Return Profile
Diversified sources of return are the basis of durability.
The portfolio combines alpha sources with differentiated drivers across signal families, instruments and market regimes. Each is sized as one contributor within the whole. Distinct sources can be combined under one governing principle: no single market, instrument or signal should define the return profile.
Team
The Core Triangle, personified.
A quant CEO, a futures-quant CIO, an institutional-capital COO — three vertices, three founders.
CEO
Eric
Research direction and the firm.
CIO
Dario
Investment strategy and the trading engine.
COO
Harry
Capital formation and operations.
Its three vertices — infrastructure innovation, quant first principles, Agentic AI orchestration — close across three founders. The scarcity is the combination, not any single pedigree.
Careers
The fourth vertex.
The triangle is closed. It grows only one way: a fourth vertex that ties into all three — a rare combination. We hire for the combination, not the résumé.
AI Mogul / Geek
Build the AI agents that breed and critique factors — the machine that proposes.
First-principles quant
A real market edge, paired with the rigor to falsify your own ideas at the gate.
No open reqs. We add a vertex when the combination is right, then close it before it dilutes. If that's you, write to us.
careers@eigenpartner.aiContact
For qualified investors.
Eigen Partner works with qualified institutional investors. For a conversation or diligence materials, reach us directly.