Blog

Notes on robot AI and edge inference.

Product essays and technical explainers from the ClarkenAI and Kolerr Lab ecosystem.

Ecosystem · 6 min read

The Kolerr Lab Ecosystem: ClarkenAI, Ankatos, and Blazil Engine

A practical overview of how ClarkenAI, Ankatos, and Blazil Engine fit together inside the Kolerr Lab ecosystem for robotics and edge AI.

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Robotics · 5 min read

Why On-Device AI Matters for Autonomous Robots

Autonomous robots need AI inference close to sensors and actuators. This article explains the latency, privacy, and reliability case for on-device AI.

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Architecture · 6 min read

Hybrid Matrix Architecture: A Practical Path for Edge AI

Hybrid Matrix Architecture uses staged precision to make 70B-class reasoning more practical for edge and CPU-oriented deployments.

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Infrastructure · 5 min read

CPU-Only 70B Inference and the Case for GPU Independence

A look at why CPU-oriented AI inference matters for robotics fleets, embedded systems, and private infrastructure.

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Private AI · 5 min read

Air-Gapped Edge AI for Private Robotics Deployments

How offline and air-gapped environments can use local AI inference without sending operational data to cloud model endpoints.

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Ecosystem · 4 min read

Ankatos Cortex v1 and ClarkenAI Edge

How ClarkenAI Edge supports Ankatos Cortex v1 as an embedded reasoning layer for robotics autonomy workflows.

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