HASH Unlocks the Predictive Power of Modeling with Universal Access to New Simulation Tool
With its first product, HASH has unlocked simulation technology as a powerful decision-making tool by making accurate, scalable simulations universally accessible to all.
NEW YORK, June 18, 2020 /PRNewswire/ -- HASH Inc. has democratized the power of simulation models with the launch of its first browser-based tool for creating multi-agent simulations, enabling anyone to create accurate scenario predictions with ease. HASH is 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.
With its first product, HASH has unlocked simulation technology as a powerful decision-making tool by making accurate, scalable simulations universally accessible to all. By lowering the barriers to creating simulations with its browser-based simulation tool for programmers, HASH is fostering greater access to information and empowering users to probe and understand some of the world's most challenging questions.
Real-World Applications
In response to COVID-19, simulations are particularly effective in creating forward-looking scenarios that resemble the results that might be expected in the real world. For example, HASH's 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.
During these unprecedented times, the power of information and being able to understand the impact of a multitude of changes within complex systems are critical. To support this, HASH has released a range of free curated data, simulations and components for modeling the impact of COVID-19 at hash.ai/coronavirus.
While the simulation tool is suitable for non-experts and hobbyists, it is powerful enough for predicting events in situations that have never occurred before – where historical data isn't available. HASH's new simulation tool helps people learn, explore and understand the dynamics and the evolution of large-scale, sophisticated systems without being limited by past events or experiences.
"Agent-based simulations are effective at identifying and understanding highly complex systems, including our world's most critical problems," said 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."
Venture Capital Funding
In addition to its new simulation tool, HASH 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.
"Many of today's critical issues are best solved with agent-based models, but because of the time and costs in creating simulations, their problem-solving power is out of reach for many," said Lee Edwards, partner at Root Ventures. "With this new simulation tool, HASH has unlocked the ability for data scientists to build models of systems that can help solve important problems without requiring in-depth software engineering skills."
"The next wave of AI is about understanding complex systems such as the climate, human biology and global economy," said Ash Fontana, managing director at Zetta Venture Partners. "The HASH simulation products are crucial to generating the data on which to build models to understand complex systems in an open and organized way, affording us the power of collaboration in solving big problems."
HASH is the latest startup endeavor from serial entrepreneur Joel Spolsky, who serves as the company's chairman and is the founder of companies such as Stack Overflow, a global top-50 trafficked website, and Trello, which was acquired by Atlassian for $425 million in 2017. Another early investor in HASH is Anthony Goldbloom, founder of the world's largest community of data scientists, Kaggle, which was acquired by Google in 2017.
Visit hash.ai to build a multi-agent simulation for free in only a few minutes.
About HASH
Founded in 2019, HASH is developing a suite of software and open-source components that enable software developers to create simulations of complex systems through composable parts. Backed and built by the founders of Kaggle, Stack Overflow, Trello and Glitch, HASH enables accurate prediction in "impossible to model" scenarios and allows critical decision-making to occur safely at lightspeed. Based in London and New York, HASH's mission is to enable everybody to make the right decisions. This is achieved by making powerful, accurate, scalable simulations universally accessible to all. Learn more at hash.ai.
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