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Enterprise teams don't struggle to write proposals. They struggle to coordinate them. Nine people contribute to the average enterprise RFP. It takes 9.3 calendar days to complete. 68% of that time is coordination — chasing colleagues, resolving version conflicts, and rebuilding context for every reviewer who joins late. $725,000 in proposal revenue is abandoned annually by the average organisation — not because the content was bad, but because the process collapsed. (Source: Loopio 2025 RFP Trends Report) RELAY is the coordination layer that existing tools don't provide. Upload any meeting recording — MP4, WAV, M4A, any format. RELAY's backend preprocesses it through FFmpeg (16kHz mono MP3) before sending to Speechmatics Enhanced ASR, which returns a fully diarized transcript with automatic speaker separation. The host then labels each speaker with their name, title, and team — with a "hear 5 seconds" audio preview per speaker so identity is confirmed, not assumed. Once speakers are labelled, the host selects a document type: Client Proposal, Statement of Work, Meeting Minutes, Requirements Document, or Strategy Brief. Total time from audio upload to collaborative document: under 90 seconds RELAY hits four of the five hackathon tracks: Agentic Workflows (autonomous audio-to-document pipeline), Enterprise Utility (documented $570K/year coordination problem for VP Sales Operations), Multimodal Intelligence (audio → structured text → AI generation), and Collaborative Systems (Speechmatics handles audio intelligence, Gemini handles generation, humans handle final judgment).
19 May 2026

SAGE IDE is a browser-native AI coding environment built on one radical premise: code quality improves when AI systems argue. Unlike single-agent assistants, SAGE deploys four specialized agents into a live adversarial boardroom. The Architect designs. The Implementer builds. The Synthesizer integrates. The Red-Team attacks — mid-stream, without waiting for a review phase. A challenge bar fires in real time, quotes the vulnerable excerpt, and assigns a severity tag (Critical/High/Medium/Low) with CVE reference. The Nash Crucible then aggregates agent votes, detects equilibrium, and locks the final output as a signed, immutable Artifact. The adversarial layer is the core innovation, not an added feature. Every agent has a permanent seat and the authority to interrupt others mid-stream. The boardroom is the interface — not a sidebar, not a chat panel. Agents generate structured Artifacts (Design Plans, Diffs, Challenge Reports, Locked Outputs) that are reviewable, commentable, and auditable. Built on AMD Instinct MI300X via ROCm: four co-resident Qwen/Llama models sharing 184 GB VRAM through vLLM, locked into dedicated memory regions per agent. Backend: FastAPI + LangGraph (7-node graph) + Celery + Redis for async agent parallelism. Frontend: React + Monaco Editor with live WebSocket streaming and gutter attribution marks per agent. CPU fallback (sage-free) validated for non-GPU environments. Benchmarks: +12.4% HumanEval+, +8.2% SWE-Bench-Lite over single-agent baseline. Better process, not a bigger model. What ships: LangGraph multi-agent engine, WebSocket layer, React IDE with Monaco, Agent Boardroom with live challenge bars, Nash Crucible, and full Artifact system — demonstrated end-to-end, no mocks. GitHub: github.com/realruneett/Sage
10 May 2026