Building Infrastructure for Reliable AI

We are focused on building the plumbing and infrastructure for AI to work reliably and efficiently. From perception layers to world enablement.

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Artiqal

Projects

We are building the foundational layers that allow AI to work reliably in the real world.

EmulationActive

Hollow

The first ever purpose built web interaction layer for AI agents. Web perception and execution for AI agents through math, not pixels. Serverless by design.

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PerceptionActive

Graphical Density Grounding (GDG)

A novel perception and execution layer for AI. GDG enables AI systems to understand and interact with visual interfaces through density-based grounding mechanisms.

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InfrastructureIn Development

Wanda

A structured folder architecture system designed to organize AI workflows and data pipelines. Wanda provides a standardized approach to managing complex AI project structures through a user friendly interface.

AutonomyExperimental

Bunty Box

An autonomous browser experiment exploring how AI agents can use the web at large as their native tooling independently and reliably.

About Artiqal

We believe that for AI to truly transform how we work and live, it needs stability and backing that ensures reliability, efficiency, and predictability. Our focus is on solving the fundamental challenges that stand between current AI capabilities and dependable real-world applications.

Perception

Building systems that allow AI to understand and interpret visual and spatial information reliably.

Infrastructure

Creating the systems that will enable AI workflows to scale.

Autonomy

Exploring how AI agents can operate specific tasks independently while maintaining predictable behavior.