AI Factory Development

Development Timeline

Our AI development follows a structured 3-phase approach from foundation infrastructure through advanced intelligence to full autonomy

Active
2024-2025

Foundation Phase

Building core infrastructure and establishing multi-platform presence

Key Components
ReactJS Dashboard MVP
Active
85% Complete
Multi-Platform Bots
Active
40% Complete
Data Parsers & ETL
Active
75% Complete
GitHub Actions CI/CD
Complete
50% Complete
In Development
2026

Intelligence Phase

Advanced AI learning and model training capabilities

Key Components
Agent Framework
Development
40% Complete
Model Training Pipeline
Planning
15% Complete
AWS Cloud Integration
Development
30% Complete
HPC Cluster Setup
Planning
10% Complete
Planned
2027

Autonomy Phase

Self-optimizing AI systems with global deployment

Key Components
Global AI Model
Planned
0% Complete
Self-Optimization Engine
Planned
0% Complete
Multi-Cloud Platform
Planned
0% Complete
Full Automation Suite
Planned
0% Complete

AI System Architecture

Foundational Plant AI Model
Guided Outcome Control
Name → Structure
RNN + LSTM
Mass Spec Prediction
Generative Model
Toxicity Prediction
CNN + Inception
Solvent Prediction
Deep Neural Network
Molecular Dynamics
Simulation
Genotype →
Chemotype
Random Forest
Green Retrosynthesis
Monte Carlo Tree Search
Adverse Effects
CNN
Solid Dispersion
Stability
Deep Learning
Phospholipid
Combination
Deep Learning
Nano-particle
Prediction
Deep Learning
Slack Interface
User Access Layer
AWS Cloud Infrastructure
Distributed Computing
Collaborative Training Data
Foundation for All Models
React Flow mini map