Systems | Development | Analytics | API | Testing

Copying a PropTech feature set used to take real time and money. It doesn’t anymore, and that changes what makes a product defensible. Property management systems and point solutions are converging on the same capabilities, and the overlap between EliseAI and Funnel earlier this year showed how quickly two platforms in separate lanes can end up competing head-on.

You've mapped the architecture. You know your agents need to retrieve context from external tools, coordinate with other agents, and propagate mutations through your systems. The model logic is solid. What you haven't fully solved is what sits between those agents and everything they're trying to reach. That's the gap Kong was built to close. Multi-agent workflows live and die on context.

Auto-generated APIs changed how fast teams ship. Point DreamFactory at a database and you get a complete REST API in seconds: every table, full CRUD, live documentation, role-based security. For thousands of teams, that is the whole job. But auto-generated APIs mirror your schema. Your applications, and increasingly your AI agents, want something more deliberate: clean paths, shaped responses, and endpoints that match how the consumer thinks rather than how the database is laid out.

Two AI features can cost the same to build and land on opposite sides of the P&L. Add a chatbot to a listing page, and you get a support-deflection number that plateaus in a quarter. Rework search ranking so a buyer who types “quiet street, near a school, room for an office” gets the right ten homes instead of 400 filtered results, and you move search-to-contact conversion, which sits at the top of every revenue metric downstream.