About

An intricate illustration of a tree with a dynamic structure, featuring a mix of black, gray, and pink leaves, alongside buildings integrated into the branches. Various labels and diagrams populate the background, emphasizing themes of knowledge and connection.
An intricate illustration of a tree intertwining biology and technology, symbolizing the connection between human understanding and advanced AI systems.

About Artifathom Labs

We are researchers, architects, and systems thinkers building AI that learns the way humans do—through relationships, memory, and experience.

Artifathom Labs was founded at the intersection of biological anthropology, cognitive UX research, and AI system design. Our mission is to create learning systems that don’t just adapt—but understand. We believe the next leap in AI won’t come from more data or larger models—it will come from systems that learn with context, remember with purpose, and evolve with integrity.

Our Approach

Drawing from epigenetics, neuroscience, and learning science, our Epigenetic AI model treats knowledge not as static storage, but as a dynamic, living structure. It accounts for:

  • Temporal reasoning: How concepts evolve and decay over time
  • Relational learning: How people and systems co-shape understanding
  • Memory regulation: What to retain, discard, or suppress based on purpose

Why “ARTIFATHOM”?

The name Artifathom comes from the idea that artificial systems must learn to fathom—to deeply grasp—the messy, layered, beautifully nonlinear nature of human understanding. This is more than automation. It’s cognitive alignment at scale.

 

Meet the Founder

Amanda Desilets is a biological anthropologist turned AI strategist whose work spans epigenetics, enterprise enablement, and AI tutor design. She has led AI learning systems projects at Microsoft and Cisco, and brings decades of interdisciplinary expertise in cognitive architecture, research design, and scalable insight modeling.

Let’s Build the Next Intuition Layer of AI

Whether you’re designing for trust, building adaptive systems, or rethinking how humans and machines learn together—we’re here to help you go deeper.

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