Bring Dataiku project results into any browser tab
Use PixieBrix to customize and automate any tool you already use, right in your browser.
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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate Dataiku in the browser
Clip Dataiku model outputs and project summaries into Jira, Confluence, or documentation tools in one click
Trigger Dataiku API endpoints from any browser-based operational tool without switching back to the Dataiku UI
Surface Dataiku pipeline status and model metrics inside your reporting or project management tools without switching tabs
AI Copilot in the sidebar can translate Dataiku technical outputs into plain-language summaries for business reviewers
Unlike Zapier, PixieBrix works in the browser in real time: share data science results at the moment they are ready
Connect Dataiku to 3000+ internal tools without building custom REST API pipelines
Integrate Dataiku with 3000+ apps
Dataiku frustrations that cost your team hours every week
  • Context switching between Dataiku project outputs and the tools (Jira, Confluence, Slack) where insights are communicated
  • Manually copying model results, dataset summaries, and pipeline metrics from Dataiku into reports or project management tools
  • No quick way to trigger a Dataiku API deployment or scoring endpoint from within an operational browser tool
  • Repetitive manual summarization of Dataiku project status for non-technical stakeholders
  • Difficulty surfacing specific Dataiku model outputs inside customer-facing support or ops tools
  • Copy-pasting data preparation results or feature importance scores from Dataiku into presentations or documentation

Chat with AI to create your first custom workflow

Summarize the current status and key metrics of the Dataiku project shown on this page for a non-technical stakeholder update
Extract the model performance metrics from this Dataiku page and format them for a Confluence or Notion project summary
Based on the data quality issue visible in this Dataiku dataset, create a project management task with a clear description
Summarize the evaluation metrics shown in this Dataiku model page into an executive-ready model performance brief
Summarize the status of all pipelines visible on this Dataiku Flows page and flag any failures or warnings
Using the Dataiku project output on this page, draft a weekly update email for business stakeholders in plain language

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Frequently Asked Questions

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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