Deliver data science apps in minutes with Domino

Matt Tendler2025-05-20 | 7 min read

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In the age of GenAI and rapid experimentation, getting your models into production isn't enough. Real business impact happens when insights are accessible, interactive, and in the hands of decision-makers.

That’s why we built Domino Apps, a seamless way to publish, manage, and scale interactive applications directly from the Domino Enterprise AI Platform, without DevOps overhead or governance gaps. Whether you’re creating an AI-powered dashboard or a secure internal assistant, Domino Apps help you deliver value faster while keeping IT happy with enterprise-grade controls.

Apps are the new deliverable

In today’s AI factory, the real output isn’t just a model — it’s an app. Dashboards, internal tools, agent interfaces, and visual reports are how insights flow to the business.

Traditional app delivery is slow, fragmented, and resource-intensive. It often requires stitching together multiple tools:

  • Building in one environment (like R Studio or Jupyter)
  • Hosting in another (like EC2 or Shiny Server)
  • Governing in spreadsheets (or not at all)

Domino Apps replace all of that with a one-click experience to deploy and manage apps inside your existing Domino workflows.

A simpler way to share your work

For years, data scientists have been stuck in a frustrating loop: building powerful models or dashboards, only to face delays and roadblocks when it’s time to share them. They either had to hand things off to an overburdened engineering team, navigate a patchwork of custom hosting solutions, or settle for limited, one-app-at-a-time tools.

Domino changes the game. It gives data science teams a first-class way to publish, manage, and scale interactive applications without leaving the Domino platform. For teams that need broader language support, environment control, governed access, or scalable publishing across frameworks like Python, Dash, Flask, or Streamlit, Domino offers a powerful and enterprise-ready solution. It simplifies publishing across languages and tools, without any IDE-specific plugins or custom infrastructure required.

Whether you’re building a customer risk dashboard, a clinical trial review tool, or regulatory intelligence powered by a RAG pipeline, Domino Apps make it easy to go from development to production in just a few clicks.

Apps can be deployed directly from a workspace or Git branch using a streamlined four-step wizard that guides users through naming, compute sizing, data access, and permissions. This ensures every app follows a consistent, governed process without any special DevOps knowledge required. You can host multiple apps per project, track usage and status from a centralized dashboard, and share clean, custom URLs that support deep linking. And everything runs on Domino’s enterprise-ready infrastructure, complete with audit trails, access controls, and cost-aware compute policies.

Publishing only takes four steps. Name it, size it, secure it, share it. That’s how fast you can go from workspace to production.

It’s more than just a feature — it’s a new publishing layer within the AI Factory. By treating apps as a first-class outcome of the data science process, Domino helps teams deliver insights to stakeholders faster, more securely, and at scale. And for organizations managing dozens of teams and hundreds of applications, this new model eliminates the friction, complexity, and sprawl that often plague DIY solutions.

Without Domino, turning an app into a production asset could take weeks. With Domino Apps, it takes minutes.

Domino Apps highlights:

  • Run multiple apps per project to streamline dev/staging/production
  • Share branded URLs and deep links with built-in query support
  • Monitor all apps in one place with real-time usage and controls
  • Enforce enterprise governance through audit trails and access controls

Why it matters: Benefits for you and your team

Whether you're building apps, securing infrastructure, or making data-driven decisions, Domino is designed to support the full spectrum of enterprise AI stakeholders. Here's how it helps each team move faster with more control and less complexity.

For data scientists

Skip the DevOps backlog and share your work in minutes. Domino lets you publish polished, interactive apps directly from your workspace or Git branch — no infrastructure setup required. It’s faster iteration, easier collaboration, and less time waiting for someone else to productionize your code.

For IT and platform teams

Gain visibility and control without getting in the way of innovation. Domino centralizes app management, applies consistent access and audit policies, and reduces compute waste through auto-suspend. It's self-service for data scientists, with compliance built in.

For business stakeholders

Use intuitive, self-service apps that put data at your fingertips without any technical expertise needed. Whether it’s a dashboard, assistant, or report, Domino Apps make it easy to explore, interact, and make decisions based on real-time insights. Just click the link and go.

Where Domino Apps can deliver value

Here are just a few of the ways teams could use Domino Apps to get insights into the hands of decision-makers faster:

Regulatory intelligence in financial services

Imagine a compliance team using an AI-powered assistant built in Streamlit to summarize regulatory bulletins or MAS circulars. With Domino Apps, that assistant could be deployed in minutes — versioned, permissioned, and tracked — so legal teams always have access to the most up-to-date interpretations.

Biomarker discovery dashboards in life sciences

R&D teams could publish interactive visualizations to explore gene expression patterns or trial enrollment metrics. Instead of waiting for engineering to harden these tools, scientists could publish and iterate on them independently, accelerating discovery while keeping sensitive data protected.

Internal GenAI assistants for analysts

With Domino Apps, it’s easy to deploy lightweight RAG or LLM apps that help sales, marketing, or research teams get answers from unstructured documents. These tools can live behind custom URLs, support deep links, and embed into internal portals, all governed and monitored centrally.

Cost and risk dashboards for executives

Apps that surface compute usage, project spend, or model performance could be published directly from a workspace with zero DevOps involvement. Stakeholders get real-time visibility, while platform teams retain full control over data access and uptime.

Whether you’re supporting scientists, analysts, or executives, Domino ensures your work shows up where it matters most: in the hands of your users.

See Domino Apps in action

Watch the demo or request a personalized walkthrough to learn how Domino can help your team deliver data science apps in minutes, not months.


Currently leading Product Management for Domino Data Lab's Life Sciences division, Matt oversees product initiatives for the biopharmaceutical industry. Prior to joining Domino, Matt held senior product leadership roles at Medidata Solutions and ArisGlobal, where he architected Data Fabric and Analytics solutions, bringing more than ten analytics tools to market that advance clinical trial efficiency and safety signal detection capabilities across the industry. Throughout his career, Matt has successfully helped implement agile and quality practices across organizations of all sizes, from emerging medical device companies to global pharmaceutical enterprises.