Developer Builds AI Infrastructure Platform Focused on Streaming and Data Privacy

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A developer is building bayar.dev, an early-stage AI infrastructure company targeting B2B workflows and multi-agent systems. The platform's public chat endpoint streams AI responses token by token using Server-Sent Events, connected to Azure AI via an OpenAI-compatible interface. Key architectural priorities include edge-aware routing, semantic caching, PII detection, private enterprise deployment, and vendor portability. Privacy is treated as a core architectural constraint rather than an afterthought, with a stated goal of achieving a zero-retention boundary across all system components. The project is still addressing open challenges such as cache invalidation, regional failover, and the tradeoff between low latency and data isolation.

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