license: cc-by-nc-nd-4.0
datasets:
- Crownelius/Opus-4.6-Reasoning-3300x
language:
- en
base_model:
- Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
library_name: fastai
tags:
- finance
- code
KAI — Intelligent Decision & Business AI System
KAI (Kohenoor Artificial Intelligence) is a structured AI system designed for business intelligence, decision-making, and financial analysis. It combines domain knowledge, disciplined prompting, and standardized response protocols to deliver consistent, high-quality outputs across multiple AI models.
🔹 Core Capabilities
- Business Intelligence & Strategic Decision Support
- Financial Analysis & Trading Insights (KEN-FI integration)
- Structured Problem Solving & Risk Assessment
- Consistent, Protocol-Driven Responses
- Cross-Model Compatibility (OpenAI, Gemma, Kimi, etc.)
🔹 Architecture Overview
KAI is built on a modular intelligence stack:
- Knowledge Base (KB): Core logic, frameworks, and domain knowledge
- System Prompt (SP): Behavior, reasoning style, and constraints
- Response Protocol: Standardized output structure
- Prompt Library: Task-specific execution workflows
- Memory Layer: Learning from past interactions and refinements
🔹 Use Cases
- Business strategy and operational planning
- Financial market analysis and advisory
- AI-assisted decision making for organizations
- Training and education in AI-driven workflows
🔹 Repository Contents
- Lite Knowledge Base (sanitized version)
- System Prompt (public version)
- Documentation (PDFs)
- Sample prompts and use cases
🔹 Disclaimer
This repository contains a limited public version of KAI for research and demonstration purposes. Core logic, advanced decision systems, and proprietary intelligence layers are not included.
🔹 License
CC BY-NC-ND 4.0 Non-commercial use only. No modifications or redistribution without permission.
🔹 About
Developed by Kohenoor Technologies as part of the KEN ecosystem, including KEN-FI (AI-powered financial advisory) and advanced AI/BI solutions.
For collaborations or licensing inquiries, please contact: 🌐 https://www.kohenoor.tech