Neuro Tech Nova

01. The Genesis

Founded in the high-density tech sector, Neuro Tech Nova began as a classified data project labeled "Project CORTEX". Our initial mandate was simple: create an algorithmic prediction engine capable of outperforming human intuition in high-stress scenarios.

We realized that standard Large Language Models (LLMs) lacked the plastic "spark" of biological systems. We pivoted from pure software to creating Hybrid Neural Networks—systems that mimic the plasticity of the human brain while retaining the processing speed of silicon.

Chronology

Evolutionary Path

2019

Project CORTEX Initiated

Operating out of a basement lab in Taipei, the founding team develops the first recursive logic gate.

2021

First Sentience Event

Model v.2.4 displays non-programmed behavior during a chess simulation, sacrificing pieces for long-term positioning.

2023

Series A Funding

We exit stealth mode. Secured $200M in funding from private defense contractors to scale the "Hive" infrastructure.

2025

Global Deployment

NTN nodes are now active in 40 countries, processing 14 Petabytes of logic streams daily.

Command Structure

Executive Board

AT

Dr. Aris Thorne

Chief Neural Architect Clearance: Level 5

Ex-NASA JPL. Specialist in deep space autonomous navigation systems.

Network Architecture

EV

Elena Vyss

Head of Synthetic Data Clearance: Level 5

Pioneer in generative adversarial networks (GANs) for medical imaging.

Synthetic Gen

MC

Marcus Chen

Director of Operations Clearance: Level 4

Former strategic analyst for global cybersecurity defense grids.

Cryptography

Infrastructure

The Hive Architecture

Liquid Cooling

Our Tier-4 Data Centers utilize immersion cooling to maintain optimal thermal states for our H100 clusters, reducing energy waste by 40%.

Air-Gapped Cores

Critical training data is stored on "Cold Storage" nodes physically disconnected from the internet, accessible only via biometric handshake.

Quantum Ready

Our encryption standards are Post-Quantum Cryptography (PQC) compliant, ensuring data remains secure even against future decryption methods.