Q1 2026

Q2 2026

Q3 2026

Q4 2026

Q1 2027

Q2 2027

Q3 2027

Creator

Systemic support for a multi-tenant solution to improve the scalability of Insight Cloud.

Released to Production

Multi-Tenant Platform Architecture

hidden

Create and save the AI context for your app inside a text editor in Insight Cloud. The app context helps the Intelligence tool provide accurate answers. Replaces the old workflow of editing YAML files in OneDrive.

In Progress

AI App Context: Edit your app's context in the platform

View, filter, and export up to 1 million rows of your app's raw output data directly inside Insight Cloud. No need to request Sigma access or wait for engineering to pull a data dump.

Data Layer: View and export your app's data

A dedicated home in Insight Cloud where you can find all your apps and navigate to their settings, instead of digging through org settings or scattered pages.

Creator Area: One place to manage your apps

Save a draft of your AI context, test it against the analysis agent in a sandbox, and only publish once you are confident. Iterate safely without breaking the live app.

AI App Context: Test context changes before publishing

Upload a CSV or Parquet file as a new data source in Insight Cloud. No IT request, no engineering involvement.

Data Layer: Upload your own data (CSV or Parquet)

Moves app version detail information out of App Catalog Edit App and into a dedicated, scrollable tabbed view within the new Creator Area, plus a first pass at App AI Context.

In Review

Creator Area: App Version Details View

Create context where none exists, plus import ability. Recreates the D&amp;A pipeline inside the platform.

AI App Context: Auto generated for you in platform

Open any app and see all its published versions, which customer orgs are on each version, and when each version was installed. Read-only view inside the Creator home.

Planned

App Management: See which customers are on each app version

Upgrade or roll back all customer orgs for an app to a specific version in one workflow. No more org-by-org manual steps.

App Management: Upgrade or roll back all customer orgs at once

Connect a Snowflake share directly in Insight Cloud and use it as a data source in the platform. No IT ticket, no engineering wiring.

Data Layer: Connect a Snowflake share as a data source

Save a draft of your AI context and define how that app will relate to other apps you built. Test it against the data in other apps in a sandbox, and only publish once you are confident. Iterate safely without breaking the live app.

AI App Context: Test context across multiple apps at once

Connect your S3 bucket directly in Insight Cloud as a data source, with scheduled refresh and failure notifications. Built for creators who already land their file pipelines in S3.

Data Layer: Connect S3 as a data source

When a customer activates an app, they get recommended alert (Stream) templates out of the box, instead of building them from scratch.

Streams: Recommended alerts built into each app

Add one or more customer orgs to an app subscription directly from the platform. No more App Store flow or wallet reload steps required per org.

App Management: Add new customer orgs to an app from the platform

Tell the platform what data model you need in plain language, and it builds the underlying model for you.<ul><li>Creator says "I need a model that calculates monthly retention by customer cohort"</li><li>AI builds the underlying data transformation (SQL/dbt-style logic that produces a new derived table)</li><li>Use case: creating new computed data from scratch</li></ul>

Creator: Build data models in plain language

Save sets of test prompts, replay them against any draft AI context, and compare scored results in-app. Includes draft revision history so you can revert with confidence.

App Context: Save and replay AI context tests

Ask the platform questions about how your app is performing and get direct answers, no dashboard required.

Ask questions about your app's performance

A native chart builder that covers the most common visualization needs, reducing the need to use Sigma for everyday charts.

Built-in chart builder

Describe AI context updates in plain language. The platform handles the underlying changes.

Update AI context by chatting with it

An AI assistant guides you step by step through building an app: pick a template, map your data, preview the result. No code required.

Guided app builder — no code required

Browse a library of app templates, see which ones match your data, and start from a pre-configured starting point instead of building from scratch.