Build a Business Intelligence SaaS in Minutes With AI
Create your business intelligence saas in minutes with AI. Add user accounts, billing, and backend from a prompt, and launch without coding.
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Build your business intelligence SaaS in four steps
Describe it in plain English: your metric definitions, data sources, governance rules and who may query what.
Describe it in plain English: your metric definitions, data sources, governance rules and who may query what.
Your warehouse connects, so joins and logic are written once and reused.
Add a governed metric, expose a dimension or change a permission.
Ask the same question as two teams and check you get the same answer.
Emergent Key Features for Building a Business Intelligence SaaS
The failure mode is two dashboards disagreeing about revenue. A semantic layer is what prevents it, and most tools skip it.
One Definition per Metric
Each measure has a single calculation, an owner and a source, so revenue means the same thing in every view that uses it.
Queries That Behave on Large Tables
Aggregation, caching and incremental refresh are handled, because a dashboard that takes forty seconds is a dashboard nobody opens twice.
Embedded with Tenant Scoping
Analytics inside your customers' products with data scoped per account, which is the highest value use of BI and the hardest to retrofit safely.
Self Serve Within Guard Rails
Users build their own views from governed metrics rather than raw tables, which gives them freedom without producing four versions of the same number.
Row Level Permissions Enforced
What someone can see follows their role and their region, applied at query level rather than by hiding a filter in the interface.
Usage Visible to You
Which dashboards are opened, by whom and how often, so unused reports are retired rather than maintained forever out of caution.
Business Intelligence SaaS Use Cases You Can Build in Minutes

Revenue Means One Thing
Metrics defined once with calculation, owner and source table, dashboards consuming those definitions rather than writing their own, and a change to a definition updating everywhere it appears at once.
window.awbMockup = { semanticLayer: "Build a semantic layer where every metric has one calculation, an owner and a source table, dashboards consume those definitions rather than writing their own queries, and changing a definition updates every view that uses it at the same time.", embeddedAnalytics: "Build embedded analytics that sit inside a customer facing product with data scoped by tenant identifier, styled to inherit the host application's colours and fonts, performing fast enough for a product surface, and requiring no separate login.", selfServeExploration: "Build a self serve analytics tool where users choose metrics, dimensions and date ranges from a governed set, save their own views, drill through to record level where permitted, and cannot produce a figure that contradicts the official definition.", accessGovernance: "Build access governance for an analytics platform enforcing row and column level permissions by role and region in the query rather than the interface, restricting sensitive measures, reviewing access on a cycle, and logging every data access."};

Ship Analytics Inside Your Product
Dashboards embedded in your customers' experience with data scoped by tenant, styled to match the host application, performance suitable for a product surface, and no separate login required.

Freedom Without Four Versions of the Truth
Users choosing metrics, dimensions and date ranges from a governed set, saving their own views, drilling to record level where permitted, and never able to produce a number that contradicts the official one.

Permissions That Hold at Query Level
Row and column level access by role and region enforced in the query rather than the interface, sensitive measures restricted, access reviewed on a cycle, and every data access logged.
Every integration your
SaaS needs from day one
Email and calendar
Inbox and calendar sync both ways, so every reply, meeting and no-show lands on the contact record without anyone logging it.
Messaging and support
Conversations from chat, WhatsApp and your helpdesk attach to the right contact, so sales and support see the same history.
Payments and billing
Invoices, subscriptions and payment status flow back into the deal, so revenue and pipeline stay in one place.
If it has an API, your CRM can connect to it.
Emergent builds the connection against the API itself, including internal tools your team made. No closed ecosystem, no approved-partner list, no waiting for a connector to ship.

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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.
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Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.
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