Product Data Agents
Calliope Data Agents make your databases, notebooks, and datasets conversational, governable, and deeply usable.
But traditional exploration workflows bury insight under fragile queries, disconnected tools, and slow manual analysis.
Exploration shouldn’t feel like excavation. It should feel like conversation — governed, optimized, and built for scale.
You’re moving slower than you have to — and leaving insights buried.
Query relational databases (Postgres, MySQL), NoSQL stores (MongoDB, DynamoDB), and vector indices (Pinecone, FAISS) seamlessly
Generate intelligent queries, optimize execution paths, visualize emerging patterns — all from a single unified agent interface.
Connect directly to SQL, NoSQL, and vector stores with fine-tuned connectors and dynamic schema discovery Ask natural language questions; receive optimized, explainable queries mapped to real datasets Surface joins, aggregations, and latent patterns in seconds — no manual stitching
Conversational agents embedded into Jupyter, Colab, and VSCode notebooks Auto-generate experiments, reparameterize models, visualize outputs dynamically Refactor experimental workflows on demand without breaking reproducibility guarantees
Build RBAC-bound capabilities and scoped credential passing Automated agent scaling: one agent, one cluster, or one thousand — fully orchestrated Real-time tracing, failover recovery, and progressive rollout strategies built in
— all while preserving operational control and security. Because building real AI systems demands more than brittle scripts and blind trust — it demands engineering you can count on.
Explore the Building Blocks