Visithelm offers a cross‑domain simulation platform that integrates AI‑accelerated physics engines, economic models, and human‑behavior agents to generate predictions unattainable with single‑domain tools. Users can model climate, fluid dynamics, and infrastructure up to 1,000× faster while simulating over a million AI agents that reflect real cognitive biases, then compose these engines into unified pipelines and validate outcomes against historical data. The platform has already run more than 100 000 scenarios across multiple domains.
Funding
Funding not disclosed
Founders
Product
Problem
Decision-makers in business, policy, and governance must anticipate outcomes that span climate, infrastructure, economic markets, and human behavior, but existing tools are siloed—physics models lack social dynamics, economic models ignore physical impacts, and agent frameworks cannot incorporate physics or economics. This fragmentation forces analysts to manually stitch disparate models, leading to inefficient, error‑prone analyses and limited ability to predict cross‑domain cascades.
Solution
Visithelm offers a unified simulation platform that composes AI‑accelerated physics engines, economic models, and large‑scale synthetic human agents into end‑to‑end pipelines. Users can model climate events, fluid dynamics, and infrastructure with speedups of 100–1000×, while simultaneously simulating populations of up to one million agents that exhibit realistic beliefs, biases, and decision patterns. The platform provides visual builder tools and APIs to define scenarios, integrate data sources, and validate predictions against historical outcomes, enabling rapid exploration of thousands of cross‑domain scenarios. By standardizing the interface for diverse simulation engines, Helm allows any physics, economic, or social model to be orchestrated, validated, and managed within a single environment.
Target Audience
Primary customers are enterprises and organizations in sectors such as defense, reinsurance, energy, legal, corporate development, public policy, supply chain, and marketing that need to evaluate strategic decisions across physical, economic, and social dimensions.
Features
- AI‑accelerated physics engines delivering 100–1000× faster climate, fluid dynamics, and infrastructure simulations
- Population‑scale synthetic agents (1M+) with configurable demographics, beliefs, biases, and decision rules
- Composable primitives and workflow orchestration that link physics, economic, and social models into unified pipelines
- Visual Scenario Studio for no‑code configuration of markets, policies, events, and triggers
- Population Designer for building and scaling agent cohorts without programming
- Template Library with pre‑built industry blueprints that can be customized and deployed quickly
- Custom dashboards for tailored KPI, confidence metric, and distribution visualizations
- API and container‑compatible interfaces allowing external models to plug into the orchestration layer