At its annual Rev conference, Domino Data Lab has announced a significant expansion of the Domino Enterprise AI Platform, introducing new capabilities that allow regulated enterprises to build, scale, and govern AI-powered applications across the full application lifecycle. The platform now spans from the first line of code through to applications in the hands of business users, and works with models and agents whether they are hosted within Domino or sourced externally. The new capabilities are currently in private preview and will be generally available by Q3 2026.
Quick Intel
The Gap Between AI Demos and Mission-Critical Applications
AI is increasingly being deployed in the most consequential work enterprises undertake, from drug discovery and risk pricing to loan underwriting and national security. Coding assistants have lowered the barrier to building AI applications, making it faster and easier to put AI in the hands of domain experts. But the ease of building is only one part of the challenge.
Applications that run the business rather than impress in a demo must meet a substantially higher bar. They must be governed, auditable, secured, scalable, and integrated with an enterprise's complex technology ecosystem. It is precisely in the gap between a working prototype and a production-grade tool where most enterprise AI projects stall, and it is this gap that Domino's latest platform release is built to close.
"Applications define the next era of delivering AI transformation in the enterprise, but as coding assistants make it easier to build the new tools, organizations must find ways to unlock innovation without making a mess," said Nick Elprin, co-founder and CEO of Domino Data Lab. "Domino is the best platform for enterprises to build, deliver, and govern the coming wave of AI applications, and we can't wait to see what our customers create."
App Hub: Unified Governance Across the Application Lifecycle
The new App Hub brings development, deployment, and governance of AI applications together in a single, scalable environment. Key capabilities include rapid previews to accelerate the development cycle, version control and staged deployment to manage application progression, and approval gating to govern how applications are reviewed and released. The Domino Knowledge Manager, a customizable taxonomical organization system, makes it easier for business stakeholders to find and access relevant applications at enterprise scale, addressing the discoverability challenge that emerges as application libraries grow.
Together, these features extend Domino's existing model and agent governance capabilities into the application layer, ensuring that the controls enterprises apply to their AI infrastructure carry through to the tools that business users ultimately interact with.
Integrated Coding Assistants Run Natively on the Platform
GitHub Copilot, Claude Code, and OpenAI Codex are now available as integrated, first-class tools within the Domino platform. Because these coding assistants operate natively on the platform rather than alongside it, developers can use them to build, deploy, and govern AI work within a single environment. A built-in library of skills equips the preferred assistant to perform actions using Domino's platform services, supporting the full data science lifecycle from experimentation through to production deployment.
This integration is particularly significant for regulated enterprises where the use of external development tools must be governed and auditable. By bringing coding assistants inside the Domino environment, organizations can capture the productivity benefits of AI-assisted development without introducing ungoverned touchpoints into their AI workflows.
HPC Support and an Extensible Platform for Complex Environments
For organizations in financial services and life sciences operating complex computational infrastructure, Domino has added High Performance Computing workload support via Slurm integration. Applications and other workloads in Domino can now leverage Slurm, ensuring compatibility with a critical technology interface common across these industries and removing a significant integration barrier for organizations with established HPC environments.
A new extensions framework rounds out the platform expansion, allowing customers and partners to embed their own tools and workflows directly into the Domino interface. This enables organizations to tailor the platform to their unique operational requirements rather than adapting their workflows to a fixed platform structure. Partners are already building on the framework, including Appsilon, whose Axon.R extension validates R packages for life sciences.
Industry Impact Across Life Sciences, Financial Services, and Public Sector
Domino positions the practical impact of its platform expansion at the level of the work itself. In life sciences, better governed and more rapidly deployable AI applications translate into more effective drug development. In financial services, they enable sharper risk management. In the public sector, they support greater safety and security outcomes.
The underlying premise is that governance and speed are not competing priorities in enterprise AI but complementary ones. When AI applications can be built quickly and governed rigorously within the same platform, the result is not just faster development but AI that can genuinely operate at the core of how a regulated business runs.
Domino Data Lab's Rev 2026 announcements reflect the maturation of enterprise AI from a model-centric discipline into a full application lifecycle challenge. By extending its governance and infrastructure capabilities from models and agents into the applications built on top of them, Domino addresses the structural gap that has prevented many regulated enterprises from moving AI out of the research environment and into production-grade business operations. With general availability targeted for Q3 2026, the platform expansion arrives at a moment when the pressure to deploy trustworthy, auditable AI at scale has never been greater across the industries Domino serves.
About Domino Data Lab
Domino Data Lab is the platform where the world's most regulated enterprises build, scale, and govern AI-powered applications. From statistical computing to agentic AI, organizations use Domino to develop new therapies, protect citizens, and secure financial markets — under the most complex regulatory requirements. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, UBS, and other leading investors.
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