Sovereign-AI deployment is now operationally feasible. Here is what an air-gapped agentic stack looks like, what it costs, and where it fits in federal mission environments.
When Agents Call Agents: Why the MCP Server Matters in Freight
Model Context Protocol lets external AI agents call FreightCortex tools natively. Here is why that matters — and what it unlocks for the freight intelligence stack.
Building Multi-Agent Workflows on Databricks (mosaic AI Agent Framework)
Multi-agent workflows native to the Lakehouse — designed, built, evaluated, and deployed on the Mosaic AI Agent Framework with typed tools and an evaluation harness.
The Agent Factory: Planner, Executor, Critic, Referee
Most production agentic systems converge on the same architecture: a planner, an executor, a critic, and a referee. Here is the pattern, why it works, and how we apply it across industries.