ForceX AI — AI-for-Energy Platform

Status: Active Development | GeoForce v1.1 Deployed Website: forcex-ai.com Platform: platform.forcex-ai.com

Executive Summary

Indonesia's first AI-for-energy platform — physics-informed AI agents for nuclear reactors, geothermal reservoirs, oil & gas operations, power grids, and renewable energy. Built for Southeast Asia's energy transition.

ForceX AI combines traditional physics simulation engines (OpenMC, TOUGH2, OpenFOAM) with physics-informed machine learning (PINNs, GNNs, FNOs) and LLM-powered agent orchestration via LangGraph.

Core value proposition: Collapse hours of physics simulation into seconds while maintaining the accuracy and auditability that regulators require.

Products (12)

Product Domain Type What It Does Status
GeoForce Geothermal Surrogate CNN reservoir surrogate (57K params, R²=0.997) Deployed v1.1
GridForce Power Systems Data-Driven LSTM load forecasting + PPO RL microgrid dispatch MVP
StorageForce Energy Storage Data-Driven PPO RL battery dispatch + degradation prediction MVP
PipeGuard Oil & Gas Data-Driven Autoencoder anomaly detection + corrosion physics MVP
WindForce Renewables Data-Driven PINN wake model + PPO layout optimization MVP
DrillAgent Oil & Gas Data-Driven LSTM formation prediction + ROP optimization MVP
SubsurfaceAI Oil & Gas Data-Driven CNN seismic fault detection + horizon tracking MVP
NeutronX Nuclear Surrogate UNet neutron flux surrogate MVP
SimForce Nuclear Agent LangGraph + real OpenMC simulation orchestration MVP
ReactorMind Nuclear Surrogate GNN digital twin + anomaly detection MVP
PhysicsForce General Solver PINN multi-PDE solver (self-supervised) MVP
PlasmaForce Fusion Surrogate NN scaling-law validator for plasma confinement MVP

All 12 products have working MVPs with CLI, FastAPI API, 484 passing tests, and Docker support.

Live Deployments

App URL Description
Landing Page forcex-ai.com Company landing page (Cloudflare + VPS)
Product Platform platform.forcex-ai.com Unified dashboard for all 12 products
GeoForce API platform.forcex-ai.com/api/v1/geoforce/ Real model API (Pro tier)
HuggingFace GeoForce-CNN-v1.1 Published model + dataset

Technology Stack

AI & Machine Learning

Category Technologies
Physics-Informed ML PINNs (Physics-Informed Neural Networks), GNNs (Graph Neural Networks), FNOs (Fourier Neural Operators)
Deep Learning CNN surrogates, UNet, LSTM, Autoencoders
Reinforcement Learning PPO (Proximal Policy Optimization) for dispatch and optimization
Agent Orchestration LangGraph for multi-step simulation workflows
Simulation Engines OpenMC (nuclear), TOUGH2 (geothermal), OpenFOAM (CFD)
Frameworks PyTorch, scikit-learn, DEAP (genetic algorithms)

Platform Architecture

Layer Technology
Frontend (Landing) React + Vite + TypeScript
Frontend (Platform) React + Vite + TypeScript
Backend FastAPI, Python 3.11+
Database PostgreSQL, SQLite
Auth Firebase Authentication
Deployment Docker, Docker Compose, VPS
CDN Cloudflare
Model Registry HuggingFace Hub
Testing pytest (484 passing tests)

Multi-Agent Architecture

User Query
    │
    ▼
┌─────────────────────────────────────────┐
│          LangGraph Orchestrator          │
│  ┌─────────┐  ┌─────────┐  ┌────────┐ │
│  │ Physics │  │   ML    │  │  Data  │ │
│  │  Agent  │  │  Agent  │  │ Agent  │ │
│  └────┬────┘  └────┬────┘  └───┬────┘ │
│       │            │           │       │
│  ┌────┴────┐  ┌────┴────┐  ┌──┴────┐  │
│  │OpenMC/  │  │CNN/PINN/│  │ Data  │  │
│  │TOUGH2   │  │GNN/LSTM │  │ Store │  │
│  └─────────┘  └─────────┘  └───────┘  │
└─────────────────────────────────────────┘

Key Technical Achievements

  • GeoForce CNN: 57K parameters, R²=0.997 accuracy on reservoir simulation
  • 12 Product MVPs: All with CLI + API + tests + Docker
  • 484 passing tests across the entire platform
  • Physics-informed approach: Models respect physical laws (conservation, boundary conditions)
  • Published on HuggingFace: Model weights and geothermal dataset publicly available
  • Production deployment: Landing page + platform running on VPS with Cloudflare CDN

Repository Structure

ForceX-AI/
├── pages/                  # Landing page (React + Vite + TypeScript)
├── platform/               # Unified product portal (React + Vite + TypeScript)
├── products/               # 12 AI products
│   ├── geoforce/           # Geothermal CNN surrogate
│   ├── gridforce/          # Power grid LSTM + RL
│   ├── storageforce/       # Battery dispatch RL
│   ├── pipeguard/          # Anomaly detection
│   ├── windforce/          # Wind PINN + optimization
│   ├── drillagent/         # Drilling LSTM + ROP
│   ├── subsurfaceai/       # Seismic CNN
│   ├── neutronx/           # Nuclear UNet
│   ├── simforce/           # LangGraph + OpenMC
│   ├── reactormind/        # GNN digital twin
│   ├── physicsforce/       # PINN multi-PDE solver
│   └── plasmaforce/        # Plasma NN validator
├── mvp/                    # Shared MVP infrastructure
├── scripts/                # Deployment and utility scripts
├── docs/                   # Documentation
└── tests/                  # Test suite

Skills Demonstrated

  • Physics-Informed Machine Learning (PINNs, GNNs, FNOs)
  • Deep Learning (CNN, UNet, LSTM, Autoencoders)
  • Reinforcement Learning (PPO)
  • Multi-Agent Orchestration (LangGraph)
  • Full-Stack Development (React + FastAPI)
  • Model Deployment & Publishing (HuggingFace, Docker)
  • Domain Expertise (Energy sector: nuclear, geothermal, oil & gas, renewables)

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