AI Foundry: Integrated end-to-end model ops

Powered by Domino & Palantir
Intel

Transform data into actionable insights, faster and more effectively. Domino and Palantir Foundry provide enterprise organizations with an end-to-end model ops solution that accelerates data science workflows, connects data insights to real-world decisions, and ensures operational governance at scale.

Unify and activate your data, analytics, and models

Unified data and AI platform

Unify workflows from raw data to AI deployment with a unified platform.

A shared data foundation supports scalable data engineering, analytics, and deployment, enabling seamless integration across workflows.

Accelerate model development and impact

Accelerate the AI lifecycle from raw data to business impact.

Build, validate, and deploy models efficiently with Domino. Operationalize models into real-time workflows with Palantir Foundry.

Governance and security at scale

Ensure compliant and secure AI deployments – from data to models to predictions.

Secure, govern, and audit AI workflows with Domino’s enterprise-grade security, governance, and reproducibility, aligned with Palantir Foundry’s data management and auditability features.

Data pipeline

Seamless and secure access to Palantir Foundry Ontology objects

Build scaleable, high-performance data pipelines across heterogeneous systems using Palantir Foundry Ontology.

Connect to Palantir Foundry from Domino, providing AI teams with seamless data discovery and exploration across rich Ontology object metadata, schema, and data lineage.

Model development

Unify, orchestrate, and govern the model lifecycle

Unify teams, tools and data in Domino’s AI platform. Provide AI teams with governed, self-serve access to open-source and commercial languages, IDEs, packages, and compute frameworks.

Orchestrate the latest innovations from the AI ecosystem to enterprise teams, infrastructure, and Foundry Ontology to deliver AI at scale, cost-effectively, and responsibly.

Ensure governance, reproducibility, reuse, and visibility to track and audit projects – from data products and model predictions to underlying Foundry Ontology objects.

Deploy from Domino to Palantir Foundry

Model Integration

Deploy and integrate

Deploy models from Domino to Foundry, making the most of Ontology’s interoperable model connectors, integrations, and built-in tooling.

Publish containerized models from Domino into the Foundry docker registry, or inference directly to Ontology.

Productionize and connect models to downstream operational applications to harmonize and automate decision-making.

Observe and improve

Collaboration

Observe and improve

Monitor all modeling projects, assets, and compute costs from Palantir Foundry, or Domino’s single-pane-of-glass.

Provide real-time collaboration across teams for full upstream and downstream impacts of data pipeline changes through the entire model lifecycle.

Through Domino project branching, data engineers and data scientists can iterate quickly – without disrupting real pipelines.

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Palantir Foundry

The Ontology-Powered Operating System for the Modern Enterprise

The Foundry Ontology is the heart of Palantir Foundry. It integrates the semantic, kinetic, and dynamic elements of your business — empowering your teams to harmonize and automate decision-making in complex settings.

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AI Governance

Transform governance into a swift and dependable process

Automate and orchestrate the collection, review, and tracing of materials required to ensure compliance with internal and external policies to mitigate risk and drive more value.

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Domino enterprise AI platform

Unified platform to orchestrate and scale AI

Build, deploy, and manage AI with Domino's unified platform. Access data, tools, compute, models, and projects across any environment. Foster collaboration, establish best practices, and track models in production to accelerate and scale AI while ensuring governance and reducing costs.

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Domino’s growing partner ecosystem helps our customers accelerate the development and delivery of models with key capabilities of infrastructure automation, seamless collaboration, and automated reproducibility. This greatly increases the productivity of data scientists and removes bottlenecks in the data science lifecycle.