RaderonLab AI Core
LLM orchestration engine.
The problem it solved
The lab's products each needed LLM access; a single reusable, multi-provider engine replaced bespoke per-product integrations.
Similar problems it can solve
Any organization standardizing AI across products: a shared orchestration layer, multi-tenant quotas, provider-agnostic abstractions.
A reusable, multi-provider LLM orchestration framework: model / prompt / task / step abstractions, multi-tenant subscribers, an ML pipeline, resumable file upload, a generic repository pattern and a custom traceable-exception / logging framework.
- Model / prompt / task / step abstractions
- Multi-tenant subscribers + ML pipeline
- Generic repository + traceable-exception framework
Overview
RaderonLab AI Core is a reusable, multi-provider LLM orchestration framework that several of the lab's products plug into as their AI core.
Engineering
Model / prompt / task / step abstractions, multi-tenant subscribers, an ML pipeline, resumable file upload, a generic repository pattern, and a custom traceable-exception / logging framework — clean architecture throughout.
Technology
C# · .NET 8 · EF Core · multi-provider LLM clients.