What we build

Agents you can trust.
Simulations that reveal more.
Evaluation sets that let you truly observe.

At Simthetic, we help you explore how AI behaves across dynamic, complex scenarios, before, during, and after deployment.
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We build high-fidelity synthetic environments, design goal-driven agents, and generate structured evaluation datasets so you can test decisions, surface edge cases, and observe emergent behaviors at scale.

We believe

G.E.P. Box: All models are wrong but some are useful.

The best models are honest.

The closer a model gets to reality, the more tempting it becomes to treat it as reality. Simulations give us space to explore without confusing the map for the territory. We can test ideas, stress systems, and challenge assumptions before they become production truths.

A world model

Simulation is a form of foresight.

You can’t fix what you haven’t imagined. Simulated environments let us explore edge cases, blind spots, and unexpected dynamics before they become real.

A toy rocket.

Synthetic data is a safety rail, not a shortcut.

It enables testing, iteration, and learning without exposing users or compromising privacy.

A cloud of ideas with real actions

You should own your insights.

Your data, your simulations, your agent interactions. They’re yours, always. No lock-in, no hidden harvesting, no secondhand monetization.

Grounded in research

 Marisa Ferrara Boston, PhD

CEO and Founder

After years leading AI research, development, and consulting initiatives across industries, I saw a common challenge repeat itself:

AI systems were being deployed without truly understanding how they would behave in complex, real-world conditions, especially when interacting with boundedly rational humans.

I founded Simthetic to change that.
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Not to slow down innovation, but to strengthen it: by building tools that surface edge cases, model intent, and reveal system behaviors before they impact the real world.
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This isn't about building better dashboards or flashier demos. It’s about enabling deeper understanding, stronger decisions, and more cooperative AI.

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