
Give your teams clean, governed, reusable data foundations—so AI starts from trust, not from scratch. We prepare the foundations. Your teams build the models.
Most AI initiatives fail before the model stage— because of data readiness and governance gaps: inconsistent definitions, missing lineage, and brittle pipelines.
We don’t “ship AI” for you. We prepare and govern the foundations so your data, analytics, and ML teams can move faster with less risk.
We help you stand up a pragmatic runway from source to AI:
Align on the core entities, metrics, and relationships your products, dashboards, and models depend on.
Implement governed ingestion, transformation, and quality gates so data is consistently fit for purpose.
Define reusable feature sets (e.g., customer behavior, product performance) and serving patterns that your ML stack can consume.
Publish semantic definitions, pipelines, and feature sets to your internal Marketplace so new AI use cases don’t start from zero.

An app that helps parents choose safe, child‑friendly apps by ranking them on safety, education, cost, and language
Calibo helped TrustMyApps turn raw, inconsistent DynamoDB assessment data into an LLM‑optimized, governed data foundation in just a few weeks. Automated pipelines, QA checks, and a RAG‑ready knowledge base enabled faster ingestion, higher verification accuracy, and consistent, evidence‑backed insights for parents choosing safe apps.
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Friederike von Waldenfels
Founder, TrustMyApps
TrustMyApps
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NatureSweet
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Ready to stop “fixing the data later” for AI projects?