RiverProposal
AI-native command center for enterprise proposal teams.
What it does
Meet RiverProposal, the AI‑native command center that transforms 3‑week enterprise bids into 3‑hour workflows. Stop relying on legacy “content libraries”—our multi‑model AI generates tailored win strategies and automates the entire bid lifecycle. From instant RFP shredding and persona‑driven ghostwriting to financial margin analysis, red‑teaming in a Virtual Review Room, and one‑click pitch deck generation, RiverProposal equips teams to respond faster, smarter, and with higher win rates.
Win proposals at the speed of thought. Secure, multi-model AI workflows for high-performing bid teams.
RiverProposal is an AI-native command center that integrates multi-model intelligence with enterprise bid management. It automates the tedious steps of the proposal lifecycle, enabling experts to concentrate on strategy. Stop wrestling with formatting and blank pages. Our multi-engine architecture handles the heavy lifting so your team can focus on strategy. Visually structure your document. Assign custom AI personas to specific sections and watch the engine draft highly targeted content sequentially. Upload hundreds of pages of raw tender documents. The engine extracts critical requirements, constraints, and calculates a project risk score instantly. Create an AI peer-review team. Have a…from riverproposal.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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