Browser-based simulation tool tackles complex problems

Browser-based simulation tool tackles complex problems

Market news |
Real-time modeling and simulation solutions startup HASH has launched a browser-based simulation tool for creating multi-agent simulations, enabling anyone to create accurate scenario predictions - such as those related to COVID-19 - with ease.
By Ally Winning


HASH is offered as an open-source platform for simulating complex problems – such as the spread of disease, behavior in an economy, and changes to the environment – in less time, at lower cost, and without requiring specialized expertise compared to other solutions. By lowering the barriers to creating simulations with its browser-based simulation tool for programmers, says the company, it is fostering greater access to information and empowering users to probe and understand some of the world’s most challenging questions.

“Agent-based simulations are effective at identifying and understanding highly complex systems, including our world’s most critical problems,” says David Wilkinson, CEO of HASH. “We can’t afford for access to powerful predictive tools to be limited to only a select privileged few. We are making this free simulation tool available to everyone everywhere to empower people with knowledge of systems to make more informed decisions. We believe that democratized access and collective awareness lead to better outcomes.”

In response to COVID-19, says the company, simulations are particularly effective in creating forward-looking scenarios that resemble the results that might be expected in the real world. For example, the simulation tool can be used to understand how the coronavirus spreads when communities reopen, how different strains mutate in the presence of a vaccine, the impact of governments’ economic relief packages, and the spread of disinformation across a society. The company has released a range of free curated data, simulations, and components for modeling the impact of COVID-19 at

While the simulation tool is suitable for non-experts and hobbyists, says the company, it is powerful enough for predicting events in situations that have never occurred before – where historical data isn’t available. The new simulation tool is designed to help people learn, explore and understand the dynamics and the evolution of large-scale, sophisticated systems without being limited by past events or experiences.

In addition to its new simulation tool, the company also announced it has raised $2.5 million in seed funding. The funding round was jointly led by San Francisco-based venture capital firms Root Ventures and Zetta Venture Partners.


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