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Foundry is Palantir's platform for commercial and civil-government organisations to integrate data from many systems, transform it in pipelines and model it as an Ontology of business objects and relationships. It suits large organisations joining up data from many operational systems into one governed model. If the question on your desk is why a number moved, and your data arrives as exports, there is a lighter way to answer it.
Foundry is Palantir's platform for commercial and civil-government organisations to integrate data from many systems, transform it in pipelines and model it as an Ontology of business objects and relationships. Teams then build operational applications, analyses and workflows on top of that Ontology. Palantir's Artificial Intelligence Platform (AIP), launched in 2023, adds large language model tooling that works against the same Ontology.
None of these is a fault in Palantir Foundry. They are situations where a team needs something narrower, sooner or lighter than what it is built to do.
| The situation | How Covirage approaches it |
|---|---|
| The platform covers ingestion, modelling, applications and AI, more than one department's reporting needs | Covirage answers one desk's questions first, from the exports it already produces, then the desk next to it |
| Onboarding often involves training and engineers arranged with the vendor | We set up the dashboard for you within a week; there is no platform for your team to learn |
| Pricing is negotiated and usage is metered in compute and storage | Three tiers on one sheet, shared in a conversation, with set up included |
| Workflows built in the platform's own tools take effort to move | Everything in Covirage exports to a workbook or JSON at any time, and the inputs are your own files |
| Palantir Foundry | Covirage | |
|---|---|---|
| Built for | Large organisations joining up data from many operational systems into one governed model; Operational decision-making where analysis needs to feed straight into applications and workflows | The person waiting for the answer: one desk, then the next |
| How it gets data | Primarily ingestion: Data Connection syncs data into Foundry from external sources in batch, streaming, file-based or media syncs, using pre-built connectors and on-premises agents. Data is then transformed with Pipeline Builder or code repositories (Python, Java, SQL) and mapped into the Ontology. | Files and sheets now; scheduled delivery by API, S3, Azure, SFTP or email on Business; connections built with your team on Enterprise |
| Needs before the first answer | Source-system access and credentials for Data Connection syncs; Pipeline and Ontology modelling work by data engineers or Palantir/partner engineers; Platform administrators to manage permissions, projects and compute usage | The exports your systems already produce. No warehouse, no modelling language, no data team |
| Typical setup | Palantir runs AIP Bootcamps aimed at a first production use case in as little as five days (third-party summary); no source states a typical time for a full Foundry implementation. | Minutes on a file you already export; set up for you within a week |
| AI | AIP adds a set of builder tools on top of the Ontology: AIP Logic for AI-powered functions and workflows, AIP Chatbot Studio (formerly AIP Agent Studio) for agents, AIP Analyst for analysis, AIP Assist for in-platform help, AIP Evals for testing and AIP Document Intelligence for documents. It supports a range of large language models, and agents act on Ontology objects rather than on raw tables. | The AI model chooses a measure and writes the explanation; our tools do the arithmetic and check every total |
| Published pricing | List prices are not published. Palantir meters Foundry usage in compute-seconds (a unit of work, not time), storage in gigabyte-months and Ontology volume in gigabyte-months; commercial terms are negotiated. A free AIP Developer Tier account is available for individuals to try the platform. | Three tiers on one sheet, shared in a conversation |
| Getting data out | Data Connection supports syncs and file-based syncs out to external systems, external transforms and functions, and legacy export tasks; data and objects can also be reached programmatically through Palantir's APIs. | Export every table as a workbook or JSON at any time |
Many teams use both: Palantir Foundry for what it is built for, and Covirage for the recurring question a desk would otherwise hand to an analyst.
No. Foundry integrates an organisation's systems into one model and runs operational applications on it. Covirage does a narrower job: it answers a finance or commercial desk's recurring question, such as what is driving costs, from files that desk already exports, and it does not write back into your systems.
Sometimes, and often not. Palantir Foundry is built for large organisations joining up data from many operational systems into one governed model. Covirage answers one desk's questions from the files that desk already exports, set up for you in a week. Many teams keep Palantir Foundry for what it is built for and use Covirage for the question it would otherwise leave to an analyst.
It starts with the exports those systems already produce: files and sheets now, scheduled delivery by API, S3, Azure, SFTP or email on Business, and connections built with your team on Enterprise. We never hold credentials to your systems.
No. The AI model chooses which measure answers the question and writes the explanation. Our tools do the arithmetic, and every total is checked before it is shown. If a question needs a measure we do not have, the assistant says so.
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Facts about other products on this page were checked on 24 September 2026 from the pages below. Product names are trademarks of their owners, used here only to identify them. Covirage is not affiliated with, endorsed by or sponsored by any of them. If something here is out of date, tell us and we will correct it.