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Data Platform · Sub-service
GenAI-Ready Data Foundations
Corpus prep, feature stores, embeddings pipelines, and eval datasets for production AI.
Summary
Corpus prep, feature stores, embeddings pipelines, and eval datasets for production AI.
Problem
What teams are stuck with
AI teams scrape copies of production data that go stale and violate access rules.
No shared eval sets means every prompt change is subjective.
Offerings
What we deliver
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01
Corpus extraction and refresh
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02
Embedding pipelines
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03
Feature and prompt datasets
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04
Eval set management
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05
PII redaction for AI use
Approach
How we work it
Publish governed AI datasets from the warehouse with PII policies.
Version embeddings and corpora like code.
Store gold questions and expected answers beside features.
Outcomes
What good looks like
- AI products that stay in sync with ops truth
- Reproducible experiments
- Compliance-friendly AI data paths
Related
Keep exploring
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