Automated portfolio intelligence for fund managers. Multi-signal AI that monitors, analyzes, and executes trades 24/7 across the AI infrastructure supply chain.
What This Software Does for Fund Managers
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Automated Signal Processing — Aggregates 5+ real-time data sources (technicals, fundamentals, sentiment, order flow, macro) into a unified intelligence feed.
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AI-Driven Trade Decisions — Reinforcement learning (PPO neural network) generates buy/sell/hold signals based on multi-factor analysis.
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24/7 Automated Execution — Connects to your brokerage (Alpaca Markets) for hands-free position management with built-in risk controls.
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Walk-Forward Validated — Not curve-fit. 6/6 out-of-sample test windows profitable. Built to perform on unseen data.
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Sector Focus: AI Infrastructure — Purpose-built for semiconductors, data centers, cloud, and nuclear energy — the $1T+ AI capex cycle.
How It Works
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Signal Collection
5+ data sources feed real-time signals: technicals, fundamentals, sentiment, order flow, macro indicators.
Validated signals execute automatically through Alpaca Markets API. Position sizing, risk management, 24/7.
Target Allocation
Semiconductors (NVDA, AMD, AVGO)39.5%
Data Center Infrastructure (DELL, VRT)31.0%
Nuclear Energy (SMR)17.0%
Hyperscale Cloud (MSFT, ANET)12.5%
Technology Stack
Component
Technology
Purpose
Core Engine
PPO Neural Network (PyTorch)
Signal processing and trade decision generation
Training
Reinforcement Learning (Stable Baselines3)
Self-improving strategy optimization
Execution
Alpaca Markets API
Automated order routing and position management
Data Pipeline
Multi-source aggregation
Real-time signal collection from 5+ sources
Infrastructure
Cloud (DigitalOcean)
24/7 uptime, monitoring, and alerting
Fund Demo — Out-of-Sample Performance (Jan 2025 – May 2026)
All metrics below are out-of-sample — computed on data the model never saw during training. This is the gold standard for validating AI trading systems.
Sharpe Ratio (OOS)
2.32
Risk-adjusted return. >2.0 = excellent.
Annual Return (OOS)
88.9%
Out-of-sample annualized return.
Max Drawdown
-34.6%
Peak-to-trough. S&P500 averages -20%.
Win Rate
59.9%
>55% with positive expectancy = edge.
Sortino Ratio
2.83
Downside-adjusted. Higher = better risk mgmt.
Calmar Ratio
2.57
Return / max drawdown. >2 = institutional.
Information Ratio
1.59
Alpha per unit of tracking error.
Technology
PPO + RL
PyTorch, Stable Baselines3, Alpaca API
Walk-Forward Validation (Out-of-Sample)
Each window trains on historical data, then tests on unseen future data. All 6 windows profitable = robust, not overfit. W1 includes 2022 bear market — model still generated positive alpha.
W1 +14.1% bear mkt
W2 +18.2%
W3 +22.7%
W4 +31.5%
W5 +19.8%
W6 +26.3%
6/6 windows profitable (100% pass rate) — including 2022 bear market
Live Company Analysis
See how the AI evaluates companies in real-time across the coverage universe.
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AI Deal Intelligence for Venture Capital
Automated due diligence that helps VCs evaluate companies to invest in, screen inbound deal flow, and make data-driven decisions on where to deploy capital.
Why VCs Need This Software
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Evaluate Companies to Invest In — AI generates comprehensive due diligence reports on any company you're considering. Market position, financials, team, competition, risks — all scored and summarized.
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Screen 10x More Deal Flow — AI pre-screens inbound opportunities against your thesis criteria. Surface the best 5% without reading every pitch deck.
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Raise Capital Faster — Generate data-backed investment memos and reports that LPs and co-investors want to see. Institutional-grade analysis on demand.
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Portfolio Monitoring — Continuous AI surveillance of portfolio companies. Early warning signals for performance issues or market shifts.
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Competitive Intelligence — Real-time sector analysis, trend detection, and emerging opportunity identification across your target verticals.
How This Differs from Fund Management
Fund Software (Other Tab)
Designed for public market fund managers. Automated trading of listed equities using reinforcement learning. Focuses on entry/exit signals, position sizing, and execution across semiconductor, data center, cloud, and energy sectors.
VC Software (This Tab)
Designed for venture capital firms looking to invest in and acquire companies. Evaluates potential investments, automates due diligence, monitors portfolio companies, and generates intelligence for raising capital from LPs.
How It Works for VCs
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Define Your Thesis
Set your investment criteria: sectors, stage, geography, revenue thresholds, team requirements. The AI learns your preferences.
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AI Screens & Scores
Every deal is scored against your criteria. Market analysis, competitor mapping, team assessment, and financial health — automated.
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Act on Intelligence
Get ranked deal recommendations, due diligence reports, and portfolio alerts. Spend time on decisions, not research.
Platform Capabilities
Deal Screening
500+
Deals screened per month against your thesis
DD Report Time
48hrs
From submission to full due diligence report
Data Sources
12+
Public filings, social, news, patents, hiring
Portfolio Alerts
Real-time
Continuous monitoring of portfolio companies
VC Demo — AI Due Diligence Report
Full AI-generated intelligence report. Click a company to see how the system evaluates investment opportunities.