Near Zero

Biological Calibration Standards for Micro-Scale Robotics

Binary Validation for Sim-to-Real Targeting

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The Sim-to-Real Gap

Micro-scale agents often behave predictably in simplified environments like fluid chambers or gels but fail when transitioned to heterogeneous biological tissues. This disconnect is a foundational barrier to progress.

Current development pipelines lack explicit interaction targets and standardized scoring outputs. As a result, performance data is often ambiguous, qualitative, or based on subjective imaging interpretation.

System Architecture

The Near Zero™ system is a modular training platform comprising four coordinated layers:

Biological Substrate Layer

3D ex vivo constructs that provide spatially complex environments.

Recognition Layer

Defined interaction zones that are chemically accessible to micro-scale agents.

Signal Layer

Generates a binary, ground-truth signal upon successful interaction.

Output Layer

Machine-readable data for integration with existing optimization pipelines.