PNN Terminal on Athena AI Platform

Scalable self-hosted agentic AI platform for financial and government institutions


Contact cto@pnncapitalus.com

Key Features of the Platform

Scalable Cloud Deployment

Fast deployment with efficient scaling. Sizable use cases.

Custom LLM Creation

Tailored large language models with proprietary data. Agentic RAG & LLM API.

Base for PNN Products

Provide self-hosted LLMs for agentic products of PNN Capital

For investors, use PNN Terminal to achieve better returns and invest with clarity and confidence. For AI technologists who want to implement Agentic RAG AI for your project, start with Athena AI platform from AWS Athena, then use PNN Terminal as an example to design and develop your target state.

Products of PNN Capital

PNN Terminal

Agentic Investment Analytics (AIA) of asset allocation for investors & funds

Athena MAAC

Agentic collaborations displace ~25% human meetings by text & voice agents

Athena LSP

Quantify and visualize LLM Security Posture

1. PNN Terminal: ATH & YesRatio - Novel AIA used by investors & funds for asset allocation (precise projection & Buffett advice by agentic RAG on multi-agent framework). Reference: Bloomberg Terminal

  • Asset Projection: All-Time High Projection by Options Sentiment
  • Stock Resilience: Yes Ratio = ƒ(Sharpe Ratio, Resilience Metric)
  • Patent (Ye 2025): Implementation of USPTO # 19/245,322: System and Method for Agentic Investment Analysis Using Options Sentiment and Resilience Metrics
  • Asset Pricing: paradigm shift from probability-theory-based (Sharpe 1990) to certainty-based asset pricing & projection (Ye 2025).
  • Wisdom: Resilience and Life Advice by Su Shi for Investors
  • Experiments: Real-time hypothesis testing for options-based projections | Behavioral Economics/Finance experiments (Kahneman 2002, Shiller 2013)
  • Users: Customer Zero, Money Manager of HF/ETF/MF/PE/RIA/FO, CEO/Board/CFO Market Capitalization/Earnings Management, Accredited Investor/Trader
  • Release: PNN Terminal (Ye 2025) will not be released if it cannot pass rigorous live trading tests & experiments by Customer Zero.
  • How to HOLI (HighOutLowIn)? 学会精准抄底逃顶抓牛股 Find a star asset of good call-projected/actual price matching over time within an upside cycle, then focus on its future-dated projections.

2. Agentic Collaboration by Text and Voice Agents - USPTO # 19/216,814: System and method for AI agent-based meeting simulation and collaboration

Click here for live MAAC demo

3. LLM Cloud Security Posture - USPTO # 19/218,399: Cloud Large Language Model Security Posture Assessment System and Method

4. Agentic AI Video - USPTO # 63/780,599: System and method for video large language model (LLM) agentic collaboration