Agent-native proposal operations: assess files, prioritize human review, and export evidence packs. HTTP + MCP infrastructure plus an operated outcome pilot.

AI-powered bid response and tender intelligence engine for RFP analysis, compliance checking, response drafting, and win probability scoring.

Autonomous multi-agent framework for institutional grant proposal engineering. Optimizes formatting, compliance, and multi-source data alignment.

Inventive AI is an AI-powered platform that automates responses to RFPs, RFIs, DDQs, and security questionnaires, helping proposal and sales teams respond up to 90% faster with higher win rates.

Open-source, self-hosted proposal engine that turns seller context and target URLs into evidence-backed, shareable PPTX decks.

Pre-RFP power infrastructure intelligence for cable pursuits: PUC/RTO/ISO signals, utility/data-center evidence, fit scoring, briefs, and proposal PDFs.

Role-separated multi-agent pipeline that turns a federal RFP into a submission-ready proposal in ~2 hours — grounded RAG + FAR/compliance guardrails, human checkpoint on the final pass.

Agentic harness for finding, qualifying, and applying to software contract opportunities.

Command-line assistant for analyzing RFPs, RFIs, and tender documents for pre-sales teams.

Turn a client RFP into a priced SOW in 2 minutes. 9 AI agents in a visual pipeline. Runs fully local with Ollama — client IP never leaves your machine. Open source, MIT.

RFP Proposal Portal — upload RFPs, review extracted data, and access AI-generated proposal drafts.