From prototype to production, we build .NET applications with semantic AI cache through Oravio — maximum performance, minimal costs.
We transform ideas into robust .NET applications with AI integration — from architecture to deployment on Azure.
We monitor performance, latency, and cost for each request — data-driven decisions, not assumptions.
Oravio identifies semantically similar requests and returns the response from the cache — without calling the LLM every time.
Semantically similar requests are served from cache — latency under 10ms vs. 2-3 seconds from the LLM.
Real-time dashboard with requests, tokens consumed, cache hit rate, and estimated monthly savings.
Each license is tied to a domain — full control over who accesses Oravio.
OAuth2 client credentials token — enterprise security between services, without exposed API keys.
Netopia recurring payments with token card — automatic plan activation upon payment confirmation.
A single HTTP header — works with any framework or programming language.
What happens when processing fails: delivery count and abandonment, dead-letter queue, the difference between transient and permanent errors, retry with exponential backoff, and reprocessing of dead messages.
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Complete implementation with Azure.Messaging.ServiceBus: ServiceBusClient with Managed Identity, message publishing with properties and batching, robust consumption with ServiceBusProcessor and the settings that matter.
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When you replace synchronous HTTP calls with asynchronous messaging, what problems does decoupling through messages solve and what is the fundamental difference between Queue and Topic/Subscription in Azure Service Bus.
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