Ship models faster with browser tools for ML engineers
Use PixieBrix to customize and automate any tool you already use, right in your browser.
3000+ Integrations
AI Automation
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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 in the browser
Pull Jira ticket details, experiment metrics, and model docs into one sidebar without switching tabs
Create Jira or Linear tickets from experiment dashboards or model alerts with pre-filled performance details
Surface Confluence data schemas and Notion feature definitions contextually based on the model or dataset you are viewing
AI Copilot in the sidebar can summarize experiment results, draft model review docs, or explain performance regressions
Build shareable model deployment checklists and experiment review workflows your team can reuse without custom tooling
Auto-populate model review docs by pulling metrics from experiment tracking dashboards
Integrate with 3000+ apps
Frustrations that cost your team hours every week
  • Constant tab switching between Jira tickets, experiment tracking dashboards, model registries, and documentation to manage ML workflows
  • Manually copying experiment metrics, model performance numbers, and hyperparameters into tickets or status updates
  • No quick way to create a follow-up ticket from a failed training run or model drift alert without switching to the project tracker
  • Cross-referencing Confluence or Notion docs for data schemas and feature definitions while debugging requires leaving the current tool
  • Gathering training metrics, A/B test results, and deployment statuses into stakeholder reports is tedious and manual
  • Reviewing model code changes on GitHub while needing to verify experiment results and Jira tickets in separate tabs
  • Sharing model deployment runbooks or experiment review workflows with teammates requires custom tooling

Chat with AI to create your first custom workflow

Capture the model performance metrics from this dashboard and create a ticket in my project tracker
Summarize the experiment results on this page including metrics, hyperparameters, and comparison to baseline
Based on the experiment results here, draft a model review document with go/no-go recommendation
Summarize the feature definitions and data types from this documentation page
Summarize the training run statuses from this dashboard for a team standup update
Generate a model deployment checklist based on our team runbook in Confluence

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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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