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Inscendo

Use case · 5 of 5

Data ops & analytics.

Scheduled rollups, dashboard widgets, and ETL automations that turn the data sitting in your other capsules into a decision surface. The capsule that lets a leadership team see what's actually happening, without a dedicated analyst.

Imagined exampleCapsule: DataOps

The prompt

One sentence in chat starts the build.

You →

Build me a dashboard capsule with daily rollups across our CRM and back-office data.

Inscendo IQ →

Plan: 1 capsule (DataOps), 3 widgets (RollupDashboard, QueryExplorer, AlertHistory), 3 automations (DailyRollup overnight, WeeklyExecSummary weekly, AnomalyAlert when a new metric lands). Two record types. No external integrations needed: this capsule reads data your other capsules already manage.

Because your capsules all share the same tenant, DataOps can read the data your CRM, back-office, and operations capsules already keep. Inscendo IQ watches those connections, so a change in one capsule doesn't quietly break a report in another.

Data model

What this capsule keeps track of.

Inscendo IQ designs the data model for you and keeps it tidy as your needs change. You never write a query or design a table; you just describe what your business needs to remember.

Records this capsule manages
  • Daily metrics

    One row per metric per day: the metric, its value, and any dimensions you're slicing by.

  • Alerts

    Anomalies the capsule raised: title, severity, when it happened, and what triggered it.

Widgets

The screens Inscendo IQ builds and ships.

Automations

The work that happens without you.

Integrations

What this capsule connects to.

Credentials live in your tenant's own secure vault. Paste-a-key providers (Stripe, SendGrid, Twilio) connect in seconds; bring-your-own-app providers (such as Salesforce, HubSpot, GoHighLevel, or RingCentral) are set up step by step with Inscendo IQ, with optional hands-on help via the Companion.

Build this one for your team.

Describe it in a sentence and Inscendo IQ ships it into a tenant you own, then operates it day after day. To be clear about what you just read: this is a reference example of what the platform can build and operate today, not a case study of shipped customer work.