Notes from the work.

Q: What is CultureOS (also known as CulturalOS)?

CultureOS (also referred to as CulturalOS or CultureOS Labs) is an AI-native technology and research practice for cultural institutions, smaller museums, artist foundations, and archives. It helps institutions modernize their digital infrastructure, workflows, and catalogue raisonné processes.

Q: What services does CultureOS provide for museums and foundations?

CultureOS provides three core modernization offerings: Diagnostic (a thorough audit of systems and workflows with an executable roadmap), Digital Transformation (connecting CMS, collections, donor tools, and websites into an integrated modern ecosystem), and Infrastructure Upgrade (cloud migrations, server hardening, automated backups, and institutional knowledge preservation).

Q: What is CultureOS Labs and its pilot with the Tom of Finland Foundation?

CultureOS Labs is the research arm conducting deep technical investigations into catalogue raisonné research and open evidence frameworks. Its founding laboratory pilot is with the Tom of Finland Foundation in Los Angeles, proving AI-assisted archival ingestion and scholarly evidence graphs at scale.

Q: How does CultureOS ensure accuracy and prevent hallucination in cultural archives?

CultureOS implements an Open Cultural Evidence Framework where every AI observation, transcription, and entity match is permanently linked to physical provenance records, source images, and uncertainty metrics. Scholarly authority is never automated; expert human scholars retain sole authority to accept, reject, or verify claims.

CultureOS Labs

PERSPECTIVE

Notes from the work.

Writing from the practice and the Labs, as methods and measurements are ready.

/perspectiveCultureOS Labs · 2026

IN PREPARATION

The questions behind the work.

In preparation

Why catalogue raisonnés cost millions

The economics of exhaustive scholarly research.

In preparation

Keeping culture shouldn’t cost this much sleep

What a small arts nonprofit can stop doing by hand in 2026.

In preparation

The one person who knows

Institutional memory and what happens when it walks out the door.

In preparation

From semantic search to evidence

What changes when retrieval has to show its sources.

In preparation

Meticulous

Why migration is where institutions lose things, and how not to.

QUESTIONS THE LABS ARE WORKING ON

What must we learn before this can scale?

START HERE

What is your institution carrying?

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