CEF.AI is building a real-time inference platform designed to run AI agents with data sovereignty constraints at the edge, moving compute away from centralized cloud. The tech stack—Rust, Go, Kubernetes, Polkadot, and Substrate—reveals infrastructure-focused engineering oriented toward decentralized systems and high-performance runtime environments. Hiring skews heavily toward senior/principal engineers (5 of 6 engineering roles), suggesting the inference platform and multi-agent orchestration layers are the engineering priority.
CEF.AI builds infrastructure for sovereign AI agents that execute at the edge with real-time inference and data privacy guarantees. The company targets organizations requiring compute autonomy and local data residency—use cases incompatible with cloud-dependent AI platforms. Core surface areas include a real-time inference engine, dynamic data indexing, and a multi-agent orchestration framework. At 11–50 employees with a lean ops footprint, the company is primarily engineering-driven and actively recruiting in the United States and Germany.
Rust, Go, TypeScript, React, Kubernetes, Docker, Polkadot, Substrate, and Linux. The mix of systems languages (Rust, Go) and blockchain infrastructure (Polkadot, Substrate) indicates a focus on decentralized and edge-capable systems.
An inference platform for sovereign AI agents, real-time inference system, dynamic data indexing, and multi-agent orchestration layer. Supporting infrastructure includes the Cere Protocol and an OpenGov framework.
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