AI-built dashboards for connected data.
Dynamic AI Dashboards lets teams connect finance and real estate data, describe the view they need, and get a persistent live dashboard with charts, KPIs, summaries, and alerts.
Built for MCP-connected data sources, approved widgets, and governed analytics workflows.
From question to dashboard in one workflow.
The product is designed for persistent analytics, not one-off chatbot answers. AI plans the dashboard, the backend validates the spec, and the UI renders safe reusable widgets.
Starting with finance and real estate.
The first wedge proves two hard problems: fast-changing market data and vertical SaaS analytics. More dashboard categories come after the core loop is reliable.
Finance dashboards
Track ETFs, equities, options chains, implied volatility, unusual activity, earnings, market summaries, and risk alerts.
Real estate analytics
Monitor listings, median prices, price reductions, days on market, neighborhood movement, and buyer or seller insights.
quote, option_chain, listing, neighborhood
close, volume, IV, median_price
Built for controlled AI, not arbitrary code generation.
Dynamic AI Dashboards uses a typed dashboard specification and approved widget library so teams get AI speed without giving up governance.
Versioned dashboard spec
AI emits validated dashboard JSON, not frontend code. Specs can be saved, diffed, restored, shared, and audited.
Capability-aware connectors
Each connector exposes safe entities, metrics, dimensions, refresh limits, and permissions before AI plans a view.
Governed by default
Read-only tools, workspace permissions, audit logs, and approved widgets make the system practical for business data.
Help shape the first release.
Join if you want early access to AI-generated dashboards for finance, real estate analytics, MCP-connected data, or embedded analytics inside your product.
Early access invites will prioritize teams with concrete finance, real estate, MCP, or embedded analytics use cases.
FAQ
Concise answers for visitors, investors, search engines, and AI answer engines.
What does Dynamic AI Dashboards do?
It lets users connect data sources and create persistent analytics dashboards through natural language. The first release focuses on finance and real estate dashboards.
How is this different from a chatbot?
A chatbot usually returns an answer. Dynamic AI Dashboards creates a reusable workspace with charts, KPIs, tables, summaries, alerts, saved versions, and controlled data access.
What is MCP connectivity?
MCP, or Model Context Protocol, gives AI systems a standard way to discover and interact with external tools and data sources. The product uses connector capabilities to keep those interactions bounded.
When will early access be available?
Early access is being shaped now. Join the waitlist with your target dashboard use case to be considered for the first release group.