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Dataiku — AI supply-chain exposure

Dataiku · Private· Applications· United States
The quick read

The model reads Dataiku primarily as a producer in Applications. Its largest modeled sensitivity is a shock at Inference serving (constraint β 11).

25
Chain weight /100
1
Parts exposed
1
Layers spanned
11
Constraint β
Dataiku across the stack
Applications

The structural read · model-generated

The model reads Dataiku primarily as a producer in Applications. Its largest modeled sensitivity is a shock at Inference serving (constraint β 11).

In depth · editorial + model · written 2026-07-13

Dataiku is an enterprise AI platform — software that lets large organizations build, govern, and deploy analytics and, increasingly, LLM-based applications from one place. It sits in the applications layer as a producer of an enterprise knowledge assistant, positioned as the controlled environment where a company's data teams and business users assemble models and generative-AI workflows without wiring everything together themselves.

Its structural hook is governance and stickiness. Big enterprises adopt a platform like this to keep AI work auditable, permissioned, and consistent across teams, and once analytics pipelines live inside it the switching cost is high — reflected in substantial, recurring subscription revenue. The exposure is that it sits a layer above the real scarcity: it does not own the models, chips, or data, and it competes with cloud providers and other platforms pushing their own end-to-end tooling. Hence a modest read on chain centrality.

Where it's exposed

Chain footprint by layer

Applications
100%

How it participates

Producer
100%

Frequently asked

What is Dataiku's role in the AI supply chain?

The model reads Dataiku primarily as a producer in Applications. Its largest modeled sensitivity is a shock at Inference serving (constraint β 11).

Which parts of the AI value chain is Dataiku exposed to?

Dataiku is mapped to 1 part of the AI value chain, most strongly Enterprise knowledge assistant. It sits primarily in the Applications layer as a producer.

Does Dataiku own an AI bottleneck?

Not in the current model — Dataiku is exposed to constrained parts but sits downstream of them rather than producing them.

What is Dataiku's biggest AI supply-chain risk?

Its largest modeled sensitivity is a shock at Inference serving (constraint β 11). 5 nodes depend on it; pressure 66/100

Who are Dataiku's closest peers by AI-chain position?

By shared chain dependencies: C3.ai, Inc., BigBear.ai Holdings, Glean Technologies, Samsung SDS.

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model v0.7.0 · research, not advice

Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice.

as of 2026-07-17Medium confidence model v0.7.0
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