Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Arfniia Router is a production-ready, customizable API that applies online reinforcement learning to optimize LLM routing decisions in real time. It supports an adaptive, multi-model, and cross-provider approach for Amazon Bedrock, ensuring the best model is selected for each request.
The router improves task success rates across use cases such as retrieval-augmented generation (RAG), customer service automation, and coding agents by learning directly from enterprise feedback, observability signals, and business policies. Unlike static rules or benchmark-trained models, Arfniia continuously adapts in production to align with your evolving workloads and KPIs.
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Designed with privacy, the solution runs entirely within your AWS account, with no third-party data access. It integrates seamlessly into existing workflows and monitoring systems, minimizing retraining cycles and delivering measurable improvements in accuracy, reliability, governance, and ROI.
Highlights
Highlighted by the publisher on AWS Marketplace.
Arfniia Router extends Amazon Bedrock by supporting dynamic, multi-model, and cross-provider LLM routing, not just A/B testing within a single provider. This flexibility ensures you can adopt new models quickly, leverage overlapping strengths, and future-proof your AI workflows without redesigning infrastructure.
Arfniia Router makes routing decisions traceable and observable with built-in metrics and logs. You gain visibility into why models were selected, how reinforcement learning adapts, and where performance improves, enabling governance, compliance validation, and regulatory readiness.
Arfniia Router adapts routing policies in real-time to align with business KPIs. Whether optimizing for RAG accuracy, customer service resolution rates, or coding agent success, reinforcement learning ensures LLM usage continuously improves performance and ROI as workloads evolve.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Refund terms
As stated by the publisher on AWS Marketplace.
Hourly: No refunds. Charges incurred during hourly use or after a free trial converts to paid are non-refundable, except where required by AWS Marketplace policy or applicable law. Annual subscriptions: Full refund if requested within 15 calendar days of the subscription start date. After 15 days, annual fees are non-refundable. To receive a refund, cancel the subscription and terminate all running instances before submitting the request.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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