Sold by: ArfniiaÂ
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Adaptive, multi-model, cross-provider LLM routing with online reinforcement learning for Amazon Bedrock, maximizing accuracy, reliability, and ROI.
Overview
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.
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
- 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.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 15 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m7i.4xlarge Recommended | $1.00 |
c6in.metal | $8.00 |
r7iz.metal-32xl | $8.00 |
r6id.32xlarge | $8.00 |
r7i.8xlarge | $2.00 |
m6idn.2xlarge | $0.50 |
m6i.xlarge | $0.25 |
r7i.48xlarge | $12.00 |
m6id.8xlarge | $2.00 |
m6a.metal | $8.00 |
Vendor refund policy
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.
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Add Qwen3, DeepSeek V3.1, and Palmyra models
Additional details
Usage instructions
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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