Calliope AI
Great AI starts with great data — but data isn’t static anymore.
It’s fragmented across storage systems, APIs, and ad-hoc pipelines.
Calliope Datasets unify your data layer — so agents, models, retrieval pipelines, and workflows can move faster, smarter, and safer.
If you’re stuck with:
You’re slowing down your entire AI pipeline before it even starts.
Scattered datasets split across object stores, spreadsheets, APIs, and local files
Slow, manual ingestion processes every time a new dataset appears
No central governance over how data is accessed, cached, transformed, or consumed
Features
Dynamic Ingestion and Hosting
- Upload local datasets or ingest external data via APIs, S3 buckets, GCS, Azure Blobs, databases, or custom connectors
- Automate parsing, schema discovery, validation, deduplication, and versioning
- Host datasets securely with scalable object storage, fine-grained access control, and replication options
Governance and Access Management
- Role-based access control (RBAC) at dataset, field, or record granularity
- Audit trails for every dataset interaction — who accessed what, when, and how
- Data usage policies enforce downstream agent/model retrieval governance automatically
Integrated Into Every Workflow
- Expose datasets dynamically inside notebooks, agent actions, RAG pipelines, or training flows
- Lazy loading and smart caching strategies for massive datasets
- Cross-pipeline dataset references with version tracking and reproducibility metadata
Calliope Datasets let builders and organizations unify, govern, and operationalize their data — without losing control or velocity.
Because in the age of intelligent systems, your data isn’t just an input. It’s your edge.