Secure Agentic AI for Enterprises

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


Contact cto@pnncapitalus.com for support, demo, proposal, and pricing.

Key Features of the Platform

Scalable Cloud Deployment

Fast deployment with cloud auto-scaling. Sizable use cases: DHS, DOJ, DOL, DOD.

Custom LLM Creation

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

Video Stream Understanding

Use Generative AI to chat with real-time videos: Video AI Agents of Team Bots



"DroneAgent, what do you see?"
"DogAgent, send a human agent."

Project DDCC: Drone Dog Cloud Collaboration
(US Senate 2025: $175bn for border security)

Products of PNN Capital

PNN ATH Agentic Analytics

ATH Projections by Options for Asset Allocation by Investors and Funds.

Athena LSP

Quantify and visualize LLM Security Posture

Athena MAAC

Agentic collaboration to displace ~25% human meetings by text and voice agents.

0. PNN ATH Agentic Analytics (PA3) - used by investors and funds for asset allocation

  • All-Time High Projection by Options Sentiment
  • Yes Ratio = ƒ(Sharpe Ratio, Resilience Metric)
  • Implementation of USPTO # 19/245,322: System and Method for Agentic Investment Analysis Using Options Sentiment and Resilience Metrics

How to Use the ATH Projection Chart for Asset Allocation | for Options Trading

1. 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

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

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

PIE: PIE-ATH-YesRatio, PIE-MAAC-ATH, PIE-SESS

AAE: AAE-LSP, AAE-MAAC, AAE-VideoLLM, AAE-Platform