Juggling separate AI coding tool contracts, logins and costs slowed scaling. One gateway now gives thousands of developers access.
A global video game creator and publisher behind franchises including Assassin's Creed, Far Cry and Tom Clancy's Rainbow Six, with thousands of developers adopting AI coding tools.
Development teams adopted AI coding agents like Claude Code and GitHub Copilot through individual licenses and ad hoc tools, forcing the platform...
“We certainly didn’t want to have to manage relationships and integrations with five different providers. With Unity Gateway, all of those models are available behind a single endpoint.”
Global video game developer and publisher for PC, consoles, and mobile platforms.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Ubisoft's AI coding tools access is part of this use case:
Related implementations across industries and use cases
Staff filed data requests through chat and waited days for analyst replies. Now they ask the data lake directly—no SQL, no queue.
Rigid scripts left complex migrations manual. Now, a background agent turns natural language prompts into verified, merged pull requests.
Code grew 7x faster than headcount; hundreds of teams ran identical migrations for months. Agents now author and auto-merge the bulk of PRs.
Engineers rebuilt routing and access controls for every AI feature. Now, a central gateway standardizes governance portfolio-wide.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Colleagues hunted through knowledge systems for answers; Global Markets hand-sorted emails before ops could act. Claude now handles both.
Juggling separate AI coding tool contracts, logins and costs slowed scaling. One gateway now gives thousands of developers access.
A global video game creator and publisher behind franchises including Assassin's Creed, Far Cry and Tom Clancy's Rainbow Six, with thousands of developers adopting AI coding tools.
Development teams adopted AI coding agents like Claude Code and GitHub Copilot through individual licenses and ad hoc tools, forcing the platform...
“We certainly didn’t want to have to manage relationships and integrations with five different providers. With Unity Gateway, all of those models are available behind a single endpoint.”
Global video game developer and publisher for PC, consoles, and mobile platforms.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Ubisoft's AI coding tools access is part of this use case:
Related implementations across industries and use cases
Staff filed data requests through chat and waited days for analyst replies. Now they ask the data lake directly—no SQL, no queue.
Rigid scripts left complex migrations manual. Now, a background agent turns natural language prompts into verified, merged pull requests.
Code grew 7x faster than headcount; hundreds of teams ran identical migrations for months. Agents now author and auto-merge the bulk of PRs.
Engineers rebuilt routing and access controls for every AI feature. Now, a central gateway standardizes governance portfolio-wide.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Colleagues hunted through knowledge systems for answers; Global Markets hand-sorted emails before ops could act. Claude now handles both.