Talk to Your Data. Discover More.
Calliope Data Agents make your databases, notebooks, and datasets conversational, governable, and deeply usable.
Your data holds the answers you need — if you can reach them.
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.
If you’re stuck with:
You’re moving slower than you have to — and leaving insights buried.
SQL queries you tweak endlessly just to find simple patterns
Notebooks you manually update, rerun, and patch to follow a new idea
Blind spots because your tooling can’t surface multi-layered relationships on demand
Features
Live, Intelligent Data Interaction
- 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
Notebook-Integrated Discovery
- 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
Governed Access and Auditability
- 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
Calliope Agents are already reshaping how teams build multi-agent workflows, RAG systems, automated research assistants, and autonomous dev pipelines
— 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.