Virtwin-Energy AB
Virtwin-Energy provides a physics-based, AI-assisted simulation platform that automates industrial combustion workflows through autonomous agents handling tasks from mesh configuration to solver execution. The platform features a self-evolving agent that learns from validated cases, a knowledge-sharing marketplace for secure collaboration, and a natural language engineering interface for defining simulation objectives. It targets industrial engineers and clean-tech innovators seeking to reduce manual setup overhead and accelerate simulation-driven development.
- AI Agents
- Artificial Intelligence
- Energy
- Clean Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Industrial combustion simulation tools are complex, expensive, and inefficient, requiring engineers to navigate steep learning curves, fragmented workflows, and extensive manual setup. This steals time from analysis and optimization, slowing development cycles and limiting knowledge transfer across organizations, ultimately stalling clean-energy breakthroughs.
Solution
Virtwin-Energy provides a physics-based, AI-assisted simulation platform that automates industrial combustion workflows. Its intelligent agents handle technical tasks from mesh configuration to solver execution, eliminating manual setup bottlenecks while maintaining physics-based accuracy. The platform features a self-evolving agent that learns from every successful setup and validated case, becoming more intelligent as the user base grows. A knowledge-sharing marketplace enables secure collaboration where individual engineering breakthroughs drive collective industry progress, while a natural language engineering interface lets users define complex simulation objectives in plain language.
Target Audience
Primary customers are industrial engineers and clean-tech innovators working on combustion-related energy solutions who need to reduce manual setup overhead and accelerate simulation-driven development cycles.
Features
- Autonomous AI-agent orchestration covering the full workflow from mesh configuration to solver execution
- Self-evolving agent that continuously improves based on cumulative successful setups and validated cases across the user base
- Knowledge-sharing marketplace for secure collaboration and collective intelligence across the energy sector
- Natural language engineering interface with chat-based input that translates plain-language goals into rigorous physical parameters
- Real-time data analytics and digital twin capabilities for ongoing system monitoring
- Sustainability and emissions modeling features included in the platform
- Fully customizable integration options for existing workflows