Replace proprietary chatbot stacks with a source-available AI chat platform

Many mid-market and enterprise teams—roughly 250,000 potential customers—are locked into proprietary chatbot stacks that create compliance, privacy, integration, and cost headaches, especially when handling PII and regulated data. These organizations face high average contract values (around $80K ACV) yet lack auditability, self-hosting options, and modularity that modern engineering teams require. You could build a source-available AI chat platform: a composable stack with connectors for hosted and self-hosted LLMs, embeddings and vector DB integrations, role-based access and audit logs, migration tools, and optional managed hosting and enterprise support. Ship it under a source-available license with paid support and an enterprise distribution to lower migration friction and provide the governance enterprises demand. The timing is favorable because LLM commoditization has driven down model costs and increased API availability, privacy and compliance concerns are pushing buyers toward auditable or self-hosted solutions, and composable infra patterns (vector DBs, microservices) make integration realistic; together this yields a $20B addressable market and high revenue potential. Market Score (92/100) and Revenue Potential (88/100) reflect that attractiveness, but competition is medium and incumbents have momentum. Your clear differentiators would be auditability and deployability through source-available licensing, developer-focused UX, migration automation, and enterprise SLAs, while acknowledging the real challenges of funding sustained engineering, building trust versus established vendors, and maintaining compatibility with rapidly evolving LLM ecosystems.