AI Governance · 6 min read
What an LLM Gateway Does—and Why Enterprises Need One
As organizations run more models across more applications, a control layer for access, cost, and policy stops being optional.
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Practical perspectives on AI and robotics architecture
Robotics & Automation · 7 min read
From Automation to Physical AI: A Practical Adoption Path
Organizations rarely jump straight to autonomous robotics — the practical path runs through automation and decision support first.
Read article →AI Architecture · 6 min read
MCP in Enterprise AI: Connecting Models to Trusted Tools
The Model Context Protocol offers a standardized way to connect AI applications to enterprise tools and data — but standardization isn't the same as security.
Read article →AI Architecture · 6 min read
When Edge AI Is the Right Architecture
Not every AI workload benefits from running at the edge — but for the right constraints, it's the difference between working and not working.
Read article →AI Governance · 7 min read
A Practical Framework for Sovereign AI
Sovereignty isn't a single architecture — it's a continuum of control, and most organizations need less than they assume.
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