Provider-Agnostic. Enterprise-Secure. Zero Vendor Lock-in.

If you are trusting an AI with your proprietary pricing and client data, security is paramount. Generic AI wrappers often pose massive security risks for enterprise bids.

As a solo developer, I wanted to build a technology moat. I engineered a proprietary multi-model API router that dynamically routes tasks to the best tool for the job—whether that is Google Gemini, OpenAI, Anthropic Claude, or DeepSeek.

More importantly, I enforce strict Zero Data Retention. We use enterprise-tier APIs so your proprietary client data is never used to train public LLM models.

Meet us at https://www.riverproposal.com.

LinkedIn Page: https://www.linkedin.com/company/riverproposal/

SaaSHub Profile: https://www.saashub.com/riverproposal

Founder Journey / Case Study: https://saasbrowser.com/en/case-studies/1516034/riverproposal