Trigan: Society's Operating System

Trigan is building a platform designed to help communities organise, make decisions and manage resources more effectively. We aim to provide the digital infrastructure for real-world people and places.

75% MVP
Core Platform
Action & Resource Flow layers in progress.
Active/Launching
Pilot Programmes
NHS healthcare & Nordic emergency response technology proof points.
Post-Pilot
Target Release
Public launch planned after refining based on pilot data.

The Challenge: Inefficient Decision-Making

Many projects face delays or fail due to complex decision processes and poor resource allocation. This leads to wasted effort and missed opportunities for community improvement. Existing systems often lack the agility to adapt to changing local needs.

Globally, this inefficiency represents significant lost value – estimated at billions daily.

Our Approach: Connected & Adaptive

Trigan integrates key functions into one system to create an adaptive platform where communities can respond effectively to local needs.

Geo-located Context

Mapping real-world communities and assets (Digital Twin Core).

Structured Decisions

Facilitating proposals and consensus (LLM Consensus Layer).

Resource Management

Tracking and allocating funds and assets (Resource Flow Protocol).

Action Coordination

Turning plans into trackable tasks and measuring impact (Action Digitisation Layer).

Applicable at Every Scale

Trigan's framework is designed for flexibility, supporting all community-driven projects.

Local Improvements

Construction

Urban Repair

Disaster Response

Healthcare Logistics

Sustainability Initiatives

Core Technology

Built with reliable and scalable technologies for real-world application.

Backend Core

Reliable processing with Go microservices.

  • •High-performance Go
  • •AI/ML
  • •gRPC communication
  • •PostgreSQL & TimescaleDB

Modern Frontend

Responsive user interfaces built with Next.js and Tailwind CSS.

  • •Next.js 15 (App Router)
  • •Tailwind CSS
  • •TypeScript
  • •React Query

AI & Machine Learning

On-premise large language models and data analysis pipelines.

  • •Local LLM deployment
  • •Community Digital Twins
  • •Data analysis tools
  • •Federated learning concepts

Infrastructure

Scalable cloud deployment using orchestration tools

  • •Kubernetes (K8s)
  • •Docker
  • •CI/CD (GitHub Actions)
  • •Terraform (IaC)