Build a Custom Data Dashboard Using AI in Minutes
Describe your Data Dashboard in plain English. Emergent handles design, development, and deployment, giving you a live build in minutes. No code needed.
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Emergent Key Features for Building a Data Dashboard
Emergent reads your schema and writes the queries, so you get a deployed application rather than a blank canvas.
Schema Aware Generation
Emergent reads your columns and types before building, so charts and groupings fit the data instead of you configuring every axis by hand.
Queries and Joins Written for You
Multi table logic is handled in generated code, which means a dashboard across related tables does not require you to write SQL first.
Any Source, One Dashboard
Spreadsheets, SQL databases, warehouses and APIs can feed the same view, so the data being in different places stops deciding what you can report on.
Working Filters and Drilldowns
Filters, date ranges and record level drilldowns are functional software rather than static images, letting viewers answer follow up questions themselves.
Accumulated History
Data pulled from live sources is stored over time, so a feed that only exposes a current value still gives you a trend after a few weeks.
Deployed on a Real URL
The dashboard ships as a hosted app you can share or embed, with no local file to send around and no viewer needing software installed.
Data Dashboard Use Cases You Can Build in Minutes
Turn Any Spreadsheet into a Working Dashboard
Point it at a Google Sheet and it detects column types, builds summary tiles, charts the trend, breaks down every category and produces a filterable table. The last updated timestamp means nobody wonders whether it is current.
window.awbMockup = { spreadsheetToDashboard: "Build a dashboard from a Google Sheet by detecting column types, then create summary tiles for the key totals, a time series of the main numeric column, breakdowns by each category column, a filterable data table, and a note showing when the sheet was last updated.", sqlDatabase: "Build a dashboard on a Postgres database that joins the main tables, exposes row counts and key aggregates as tiles, charts trends by created date, allows filtering by any dimension column, includes a drilldown from summary to individual records, and runs queries efficiently on large tables.", liveAPI: "Build a dashboard that pulls from a REST API on a set interval, parses the JSON response into a table, charts the values that change over time, stores each fetch so history accumulates, handles failed requests without breaking the view, and shows the last successful sync time.", multiSource: "Build a dashboard blending a Google Sheet, a database table and an API feed into one view, matching records on a shared key, reconciling different date formats, flagging rows that fail to match across sources, and presenting one combined summary with the option to view each source separately."};
Query Your Database Without Writing SQL
Joins the main tables, exposes key aggregates as tiles, charts trends by date and allows filtering on any dimension with drilldown to individual records. Queries are written to perform on large tables.
window.awbMockup = { spreadsheetToDashboard: "Build a dashboard from a Google Sheet by detecting column types, then create summary tiles for the key totals, a time series of the main numeric column, breakdowns by each category column, a filterable data table, and a note showing when the sheet was last updated.", sqlDatabase: "Build a dashboard on a Postgres database that joins the main tables, exposes row counts and key aggregates as tiles, charts trends by created date, allows filtering by any dimension column, includes a drilldown from summary to individual records, and runs queries efficiently on large tables.", liveAPI: "Build a dashboard that pulls from a REST API on a set interval, parses the JSON response into a table, charts the values that change over time, stores each fetch so history accumulates, handles failed requests without breaking the view, and shows the last successful sync time.", multiSource: "Build a dashboard blending a Google Sheet, a database table and an API feed into one view, matching records on a shared key, reconciling different date formats, flagging rows that fail to match across sources, and presenting one combined summary with the option to view each source separately."};
Pull Live Data from Any API
Fetches on an interval, parses the response, charts values over time and stores every fetch so history accumulates. Failed requests are handled without breaking the view, and the last successful sync is always visible.
window.awbMockup = { spreadsheetToDashboard: "Build a dashboard from a Google Sheet by detecting column types, then create summary tiles for the key totals, a time series of the main numeric column, breakdowns by each category column, a filterable data table, and a note showing when the sheet was last updated.", sqlDatabase: "Build a dashboard on a Postgres database that joins the main tables, exposes row counts and key aggregates as tiles, charts trends by created date, allows filtering by any dimension column, includes a drilldown from summary to individual records, and runs queries efficiently on large tables.", liveAPI: "Build a dashboard that pulls from a REST API on a set interval, parses the JSON response into a table, charts the values that change over time, stores each fetch so history accumulates, handles failed requests without breaking the view, and shows the last successful sync time.", multiSource: "Build a dashboard blending a Google Sheet, a database table and an API feed into one view, matching records on a shared key, reconciling different date formats, flagging rows that fail to match across sources, and presenting one combined summary with the option to view each source separately."};
Blend Sources That Were Never Meant to Meet
Combine a spreadsheet, a database table and an API feed into one view, matching records on a shared key and reconciling different date formats. Rows that fail to match are flagged rather than silently dropped.
Blend Sources That Were Never Meant to Meet
Combine a spreadsheet, a database table and an API feed into one view, matching records on a shared key and reconciling different date formats. Rows that fail to match are flagged rather than silently dropped.
Build a custom data dashboard in 4 simple steps
Turn a spreadsheet, database or API into a live dashboard in minutes, without a BI licence or a chart you have to rebuild every time the data changes.
Tell Emergent what your dataset contains and what questions you need answered from it. It decides the chart types, groupings and filters that suit your columns, so you are not choosing visualisations by trial and error before you learn anything.
Point Emergent at a CSV, Google Sheet, Postgres or MySQL database, BigQuery or a REST API. It reads the schema, writes the queries and handles the joins, which means messy column names and multiple tables are not a blocker.
Request a new chart, an extra filter, a different grouping or a calculated field, and it is added to the working dashboard. Exploring your data stops meaning rebuilding it each time.
Your dashboard is deployed as real software on a URL with filters and drilldowns that work. Share it with anyone who needs the data, and it refreshes from the source rather than showing a snapshot from when you built it.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
Pick the Pricing Plan That Works for You
Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.
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