Cognitive Mapping Engine

KAIROS

AI-Powered Causal Analysis of Second-Order Effects in Tech & Industry

KAIROS monitors global technological developments, extracts underlying causal connections, and projects non-obvious secondary impacts. By tracking downstream ripples, it surfaces strategic insights before they manifest in broader markets.

Update Frequency Every 24 Hours
Data Ingestion Source NewsAPI (200+ Global Outlets)
Pipeline Architecture Fine-Tuned Llama-3 & Firestore
By Sharath Kumar Reddy AI Research Platform
Next Ingestion:
23:59:59

Loading Ingested Batches

Processing the latest causal mapping database logs...

About KAIROS

Strategic Value

KAIROS moves beyond simple news summarization to deliver predictive insights:

  • Identify hidden causal relationships
  • Predict non-obvious second-order effects
  • Quantify impact confidence levels
  • Surface connections between research, products, and market adoption

Analyst Workflow

1

Main feed shows Top 5 batches with highest impact potential

2

AI pipeline runs every 24 hours to ingest and map new articles

3

Select historical batches from dropdown to review timeline

4

Analyze second-order confidence scores to inform decisions

Technology Stack

AI Core: Fine-Tuned Llama 3

Custom Llama 3 8B model fine-tuned with QLoRA

Model Hosting: HF Spaces

GPU-powered API for high-speed inference

Data Pipeline: Google Cloud

Flexible data ingestion (e.g., AI news, market data) via serverless functions

Database: Firestore

Real-time storage for news and analysis

System Architecture

View Architecture Diagram

Model Accuracy 87.4%