We build networks of AI personas that simulate stakeholder opinions

Artificial Societies simulates how large groups of people respond to opinion surveys and react to information. We help global F100 enterprises anticipate how their most important stakeholders react to their most important decisions: from how investors and opinion-leaders react to comms messaging, to how high-value customers react to marketing strategies. We are experts in human behaviour. James, our Founder and CEO, is a Cambridge psychologist and data scientist who led the seminal paper that studied how 33,000 AI chatbots interact. Patrick, our Founder and Chief Product Officer, is an Applied Behavioural Scientist with years of experience helping F500 enterprises conduct market research. They are joined by a team of behavioural scientists, social scientists, and political scientists, all with a passion for uniting technology and an understanding of humanity. We know that every public-facing enterprise decision has million-dollar consequences. From how to position towards opinion-leaders, industry peers, and policymakers, to which marketing content to invest in, knowing how stakeholders would react matters. But traditional market research methods are too slow, too expensive, and often just fail to reach the stakeholders that truly matter. We spend our lives solving this problem. Our offering is that we build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer. We’ve built up over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do. But our enterprise partners choose us not just because we have achieved 95% accuracy in simulating human opinions compared to human self-replication - more importantly, they choose us because of our ability to deliver impossible research projects. Such as having insights in under 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk. As a result, we’ve delivered over 18 million responses to global Fortune 100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from global expansion strategies, product positioning, advertising, and strategic communications. Our vision of Artificial Societies is a Societal World Model that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. No planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. We see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.

Active Founders

James He

Founder

CEO at Artificial Societies. Ex-Cambridge computational social science. Ex Yonder. At 16, James was offered $600k to fund his ed-tech startup but chose to attend Cambridge instead. After graduating, James turned down a PhD offer to join Yonder - a credit card startup - and built the entirety of their lending ML systems. He then started his own scholarship at age 21, and led the largest-scale study of an LLM society in his spare time. He co-founded Artificial Societies in Oct 2024.

James He

Founder

CEO at Artificial Societies. Ex-Cambridge computational social science. Ex Yonder. At 16, James was offered $600k to fund his ed-tech startup but chose to attend Cambridge instead. After graduating, James turned down a PhD offer to join Yonder - a credit card startup - and built the entirety of their lending ML systems. He then started his own scholarship at age 21, and led the largest-scale study of an LLM society in his spare time. He co-founded Artificial Societies in Oct 2024.

Patrick Sharpe

Founder

Leading Product at Artificial Societies. Background in applied behavioural science. Patrick completed an MSc in behavioural econ, and left academia to lead behavioural science and CX projects at iptiQ - an insurtech startup owned by Swiss Re, the largest Reinsurer in the world. He joined Unconventional Wisdom, a specialised behavioural science consultancy, and scaled the client-base 3x within a year, before co-founding Artificial Societies in 2024.

Patrick Sharpe

Founder

Leading Product at Artificial Societies. Background in applied behavioural science. Patrick completed an MSc in behavioural econ, and left academia to lead behavioural science and CX projects at iptiQ - an insurtech startup owned by Swiss Re, the largest Reinsurer in the world. He joined Unconventional Wisdom, a specialised behavioural science consultancy, and scaled the client-base 3x within a year, before co-founding Artificial Societies in 2024.

Our Story

We’re both behavioral scientists, but took different paths - James used machines to predict humans, while Patrick ran experiments in large organizations.

In 2023, James started tinkering with a crazy idea: what would a society of 33,000 AI bots look like? He wrote this into the first-ever large-scale academic study on AI societies, and started turning it into a product.

One day in a London coffee shop in 2024, James used a simulation to recreate an experiment Patrick had spent two months on… in just ten minutes. That same week, Patrick quit his consulting job to co-found Artificial Societies with James.

We started by simulating a network of 1,000 VCs, and used it to raise a pre-seed and get into YC. Next, we built Reach, a tool that let anyone create an AI simulation of their own LinkedIn audience, to test posts before hitting publish.

Now, we are focusing on enterprise customers and consulting partners who are demanding us to build a more exceptional technology:

Introducing Radiant

We help marketing and strategic comms teams build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer.

Radiant has already delivered over 18 million responses to global F100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from investor relations, high-value advertising, crisis communications, reputation management, and corporate strategy positioning.

Here’s Radiant in action.

To power Radiant, we’ve built over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do, and who they are influenced by.

But our enterprise partners choose us not just because we have achieved 1) 95% distribution accuracy against human self-replication, and 2) 90% persona internal coherence, both on empirically and theory-grounded evaluations.

More importantly, they choose us because of our ability to deliver impossible research projects - such as having insights backed by millions of responses within 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk.

What’s next?

Our vision of Artificial Societies is a Societal World Model that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision.

No planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets.

We see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.

Our Ask 🙏

We are rolling out Radiant at marketing & comms teams globally. If you are someone / know someone who lead strategic comms consultancies or enterprise marketing firms, please reach out or introduce us at founders@societies.io.

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Jobs at Artificial Societies

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Design Engineer

London, England, GB

£80K - £120K GBP

0.10% - 0.50%

Any (new grads ok)

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