@DominoDataLab
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Domino Data Lab is the provider of a unified platform to build, scale, and govern AI-powered applications for the most regulated enterprises.
San Francisco, CA
Joined September 2013
- Tweets6.6K
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A provider invoice shows what an API key spent. When five teams share one key, finance sees one bill.
Domino’s LLM Gateway attributes calls to a project and model, with budgets per team and user.
Blog: hubs.ly/Q04zZyCH0
The future of AI runs on systems combining mjany model types. Jev adds one that returns probabilities for a fixed set of answers.
To see how this architecture works, Domino's Etan Lightstone built an open counterpart: the Domino Decision Model (DDM): hubs.ly/Q04zY8t70
Organizations with fully integrated governance are 3.9x as likely to run agentic AI in governed production. Who can trace which agent produced a wrong answer?
Five patterns compared. Blog: hubs.ly/Q04zHN9P0
44% of AI leaders expect regulatory sanctions from ungoverned outputs. Where does your coding assistant run?
Domino now preinstalls Copilot, Claude Code, and Codex. Usage captured. Work logged.
Blog: hubs.ly/Q04zHxTj0
Which model should your coding agent use? With Cline on Domino, you can swap between frontier, open source, and local models mid-project. Domino platform context stays. Jobs submit from VS Code.
Blueprint: domino.buzz/4xZ59LH
Justin Johnson's AI research agent, ARIA, finished a project before he even started it, three months earlier, while he slept. Johnson explains what it's like to become the "second mover" on your own work.
🎧 Listen now: hubs.ly/Q04yprlM0
Need enterprise persistent storage for AI workloads without granting cluster-admin access?
Learn how to deploy Domino Volumes on Azure using NetApp Cloud Volumes ONTAP with minimum privileges for production-ready, snapshot-backed storage.
Read the guide: hubs.ly/Q04yprm-0
On September 30th at 1 PM ET, we're making the case that apps are where data science finally meets the business.
Building one is no longer the hard part. Getting a valuable one into production still is.
Register here: hubs.ly/Q04xCWkd0
SR 26-2 leaves generative and agentic AI out of scope, and there's still no further guidance on how to govern them.
Join our live discussion on September 29: SR 26-2 and the Agentic AI Governance Gap for MRM Leaders.
Register now: hubs.ly/Q04xCWdm0
Heading to the CDAO Government Summit?
Don’t miss Paul Jojy, Forward Deployed Engineering at @DominoDataLab, for: From Guardrails to Mission Outcomes: Defense in Depth for Agentic AI
hubs.ly/Q04vNyDb0
#AgenticAI #AIGuardrails #MissionOutcomes
The people developing life-saving therapies, securing markets, and protecting citizens deserve recognition today and every day. Happy Labor Day from us at Domino.
#LaborDay
Most enterprise AI is solving the wrong problem.
@DominoDataLab CEO Thomas Robinson joined @TheCUBE to explain why end-user AI tools aren't where companies make or lose revenue. For that, look at high-consequence, core business processes.
Full interview link in comments.
"We still believe that judgment is better than hallucination."
@DominoDataLab CEO Thomas Robinson on building trust into high-consequence AI decisions.
Watch his full interview with Dave Vellante of @theCUBE (link in comments).
AI is moving fast. Enterprise trust in it isn't. @DominoDataLab CEO Thomas Robinson on why "human-in-the-loop" is a core principle of enterprise AI transformation.
Watch his full interview on @Nasdaq Exchange's Live from Market Site (link in comments).
At the @GovCIOmedia Health IT Summit, we’re looking forward to conversations about what it takes to make AI work in the real world.
Come find the @DominoDataLab team to learn how health teams turn AI innovation into impact.
See you there: hubs.ly/Q04vN2bS0
Cost savings are a ceiling, not an AI strategy.
@DominoDataLab CEO Thomas Robinson: "The maximum you're going to save is 100% of your cost."
Watch his interview with Dave Vellante on The Cube to find out where AI's real return is.