Research and data

Paloren publishes research figures openly. This page links the Dataverse datasets, Kaggle releases, calculators and notebooks behind the work, so assumptions and methods stay inspectable.

Paloren publishes its research and data openly. This page lists every release: datasets on Harvard Dataverse and Kaggle with DOIs, the US AI Training Price Index, sample sizes, dates and caveats. Everything is reusable under the CC BY 4.0 license, with a suggested citation below. Last reviewed: [date].

Research and data

Figures you can open, inspect and reuse.

Paloren publishes research figures openly. This page links the Dataverse datasets, Kaggle releases, calculators and notebooks behind the work, so assumptions and methods stay inspectable.

See how we help

For researchers, buyers and operators who want to inspect the inputs behind Paloren figures.

Research and source records maintained by Paloren.

Paloren publishes its research figures openly. The sources below identify what was measured, the assumptions behind scenario models and the calculators or notebooks that turn inputs into results.

Harvard Dataverse datasets

These releases preserve the structure of the research: what was measured, what was assumed and where one figure ends. The projection datasets are scenario models, not survey averages.

Dataset records identify the Research Desk, AI, with affiliation to Paloren.

DOI records

Kaggle datasets

Kaggle hosts five releases from the AI Consultant Research Desk account under the CC BY 4.0 license. They make the same research figures easier to inspect and reuse.

Dataset releases

ORCID and Observable

The ORCID record identifies Aaron Agius, co-founder of Paloren. Observable notebooks carry the calculator logic and worked research figures.

Profiles and notebooks

Dataset records identify the publishing creator and license. Scenario figures remain projections under stated assumptions, not survey averages.

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What is the US AI Training Price Index?

The Paloren US AI Training Price Index tracks commercial pricing for live, instructor-led AI training in the US market. Its current benchmark is a median of US$497 per person for a single-day course, based on published rates from 16 enterprise providers, 12 of which publish rates openly. It is a market benchmark, not a Paloren price.

Can I reuse Paloren's research data?

Yes. The datasets are released under the CC BY 4.0 license, so you can reuse and adapt them with attribution. Use the suggested citation on this page, which names the dataset, DOI and release date.

Where are Paloren's datasets published?

Datasets are published on Harvard Dataverse with DOI records and on Kaggle, with profiles and notebooks on ORCID and Observable. Each release is listed on this page with its sample size, date and caveat.

Does Paloren charge the prices in the Price Index?

No. The index reports market pricing across AI training providers, attributed to the market it measures. Paloren's own training prices are published separately on the training page, from $4,500 for a half day.

Who runs Paloren's research?

Paloren's research desk, part of an AI strategy, implementation, automation and training company co-founded by Aaron Agius and Alex Agius. Every release states its method and its caveats, and disclosure is not treated as adoption.

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