DataRockit

Build

Data

Pre-Seed

New York, NY

Attacks the $1.5 trillion enterprise AI data problem — ingests, cleans, and structures dirty enterprise data so AI models actually work in production.

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What it is

DataRockit is David Carmel's platform attacking the $1.5 trillion enterprise AI data problem. Most AI fails in production because enterprise data is dirty, siloed, and ungoverned. DataRockit ingests, cleans, and structures that data so AI models actually work.

Who it's for

Enterprise data and AI teams whose AI models keep failing in production because the underlying data is too dirty, siloed, or ungoverned to support them.

Why it's better

•$1.5 trillion problem that nobody talks about — enterprise AI fails because of data, not models.
•Ingests and cleans the dirty, siloed data that makes enterprise AI projects fail after launch.
•Governs data properly so AI models can trust what they're working with.
•David Carmel identified the real bottleneck in enterprise AI before most vendors admitted it existed.
•If your AI isn't working in production, the data is almost certainly the reason — DataRockit fixes it.