RUNWITHIT Synthetics provides 3D synthetic modeling solutions that enable decision-makers to visualize and analyze complex systems across various industries, including energy and transportation. Their technology helps organizations assess the impacts of new designs and technologies, facilitating informed planning and risk management for sustainable and resilient futures.
Funding
$699.7K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Decision-makers often lack the ability to visualize and analyze the complex, interconnected systems within their regions, hindering effective planning and risk management. Traditional methods struggle to quantify the impacts of new designs, technologies, and policies on critical infrastructure and human populations, leading to uncertainty in investment decisions.
Solution
RUNWITHIT Synthetics provides a 3D synthetic modeling platform that enables decision-makers to visualize and analyze complex systems, quantifying the impacts of various scenarios on energy, mobility, and resilience. The platform creates hyper-localized digital twins of cities and regions, incorporating data on infrastructure, technology, policies, and human behavior. By simulating potential futures in virtual reality, the platform allows users to assess the effects of anticipated events, policies, and technologies, providing quantified results to support informed decision-making and strategic planning. This approach enables organizations to de-risk innovations, optimize resource allocation, and build more sustainable and equitable futures.
Target Audience
The primary target audience includes regional leaders, city planners, utilities, and organizations responsible for critical infrastructure who need advanced decision-support tools for planning and risk management.
Features
- AI-driven synthetic edge entities replicate the context and behaviors of connected systems, environments, people, economics, and physics.
- Hyper-localized synthetic populations that react and respond to new innovations.
- Ability to model and simulate various scenarios, including extreme weather events, infrastructure failures, and policy changes.
- Quantifiable metrics for assessing the impacts of different scenarios on key performance indicators (KPIs).
- 3D geospatial visualization of synthetic environments for enhanced understanding and communication.
- Integration of domain expertise, historical data, behavioral research, and generative models.
- Support for various use cases, including energy transition, mobility planning, and disaster response.