Stop moving data to laptops. Bring your code to the data.
POSIT WORKBENCH
From ‘it works on my machine’ to ‘it just works’
Posit Workbench moves your team off fragile laptops and onto governed, server-based infrastructure. Open a browser, start coding in Positron, RStudio, VS Code, or Jupyter, with AI assistants built in. No environment setup, no dependency conflicts, no lost Monday mornings. Just the work
POSIT CONNECT
Your model is done. Why isn't anyone using it?
The gap between a finished analysis and a deployed product is where business value goes to die. Posit Connect closes that gap. Publish models, dashboards, Shiny apps, and APIs in clicks, not tickets. No waiting on engineering. No custom pipelines. Your team built it; now stakeholders can actually use it.
POSIT PACKAGE MANAGER
Know exactly what's in your open-source supply chain
Every unvetted package your team installs is a risk your security team inherits. Posit Package Manager gives IT control over which R and Python packages, including Open VSX extensions, enter your environment. With vulnerability scanning, blocklisting, curated repositories, and an MCP server, your team can work without filing tickets. Date-based snapshots lock every environment to a point in time, so any analysis can be reproduced exactly when an auditor asks
DATA SCIENCE, DELIVERED.
Your team works too hard to let their output waste away on laptops.
See how custom data products built on Posit translate directly into operational efficiency and risk reduction.
600 hours
Gen Re saves 600 hours every day by automating analytical pipelines and removing IT deployment bottlenecks with Posit Team.
60% lower costs
TruDiagnostic cut their cloud infrastructure costs by 60% and saved a full year of product development time by moving development to Posit Workbench.
7 minutes
KS&R eliminated the manual reporting drag, using Posit to generate and distribute 100 localized, production-ready reports in under seven minutes.
20% more productive
HP increased their data science team's total output by 20% by eliminating "works on my machine" fragility and standardizing development environments.
Leading a data science team can mean so much more than fighting fires. Here’s proof.
Build your case
You know why you need to change the way your team works, but you still have to convince everyone else. Here’s what to tell them.
Data scientists
IT Leaders