Plotzy is an innovative software platform specifically designed to meet the needs of the commercial real estate industry. Our platform aggregates a vast array of property data from multiple reliable sources, offering users a centralized hub for all their real estate research and analysis needs. Beyond simply collecting data, Plotzy uses cutting-edge AI technology to uncover and connect related information that might otherwise be difficult or time-consuming to obtain—such as owner contact details, municipal resources, zoning regulations, and development potential.

One of Plotzy’s standout features is its ability to enhance the efficiency and accuracy of data utilization. Our AI capabilities are built to streamline complex processes, particularly when it comes to answering zoning-related questions, which are often critical in the early stages of property development. By employing advanced techniques like Retrieval-Augmented Generation (RAG), Plotzy ensures that users receive precise, context-aware responses drawn from specific datasets, reducing the time spent searching for information and increasing confidence in decision-making.

In addition to RAG, our platform integrates agentic AI, a feature that actively seeks out and acquires targeted information, further simplifying the research process. Whether you’re looking for detailed zoning laws, development fees, or municipal contacts, Plotzy’s AI is designed to deliver exactly what you need with speed and accuracy.

In essence, Plotzy not only aggregates data but transforms it into actionable insights, empowering commercial real estate professionals to conduct due diligence more efficiently, identify prime development opportunities, and navigate the complexities of real estate with greater ease. With Plotzy, you have a powerful tool that not only saves time but also enhances your ability to make informed, strategic decisions.

Pillar is an open-source copilot SDK that turns user requests into completed actions inside your product. Users ask a question, and instead of reading a help article, Pillar navigates them to the right page, pre-fills a form, or calls an API on their behalf. It runs client-side in the user's browser using their existing session and permissions.

The SDK gives your app five capabilities: answer questions using RAG search across your docs, navigate users to the right page, pre-fill forms, execute API calls, and escalate to human support through Intercom, Zendesk, or Freshdesk.

Pillar has three layers. Frontend components that drop into your app using your existing auth and CSS. A hosted reasoning engine that plans and orchestrates actions across OpenAI, Anthropic, Google, and other model providers. And a managed knowledge base that crawls and indexes your docs automatically.

Execution happens client-side. Actions run in the user's browser with their session, so the copilot can't do anything the user can't do. You define actions as functions in your frontend code. They use the user's auth tokens and hit your APIs directly. No credentials pass through Pillar's servers.

Pillar replaces the typical copilot stack (chat SDK + agent framework + vector DB + glue code) with one install. It ships with an MCP server and registers your actions as WebMCP tools for browser-based AI agents. The copilot can render custom cards using your existing React components inline in chat.

Built for product and engineering teams at B2B SaaS companies. SDKs work with React, Vue, Angular, and vanilla JavaScript. MIT-licensed, backed by Y Combinator and Matrix Partners. Pricing is usage-based, starting free (50 responses) with paid plans from $19/mo to $249/mo.

Try it at trypillar.com or browse the source on GitHub.