Every PhD student spinning up their own Python environment. Postdocs with API keys in plaintext. No audit trail on who accessed what data. Grants requiring data governance you can’t demonstrate.
The result? Reproducibility crises. Security incidents. Failed audits. IP disputes.
Calliope brings order. Governed JupyterLab environments with AI assistance that makes every researcher more productive — while keeping data where it belongs.
Hook it up to your data. Ask questions in plain English. Get answers.
For computational researchers:
- Natural language to SQL — describe what you want, get the query
- AI-assisted code generation — scaffolding, debugging, optimization
- Built-in Python stack — pandas, numpy, scipy, matplotlib, scikit-learn
For research administrators:
- Full audit trails on data access
- Policy-based governance by department, grant, or project
- No API keys floating around in notebooks
Your researchers become more productive. Your compliance posture improves. Everyone wins.
Computational Chemistry
Molecular dynamics simulations. Drug discovery pipelines. Materials science modeling.
JupyterLab with RDKit, OpenBabel, and AI assistance for structure analysis and property prediction.
Physics & Engineering
Signal processing. Simulation data analysis. Instrumentation control.
Real-time data pipelines from lab equipment with AI-assisted analysis and anomaly detection.
Bioinformatics & Genomics
Sequence analysis. Gene expression studies. Population genetics.
Scalable compute with governed access to sensitive genomic data and HIPAA-compliant workflows.
Climate & Earth Science
Climate modeling. Satellite data processing. Environmental monitoring.
Handle massive datasets with AI assistance for pattern recognition and anomaly detection.
Social Sciences
Survey analysis. Behavioral data. Policy research.
Natural language to SQL for non-programmers. Governed access to IRB-protected data.
Digital Humanities
Text analysis. Corpus linguistics. Historical data digitization.
AI-powered analysis without requiring programming expertise.
Deploy where your data lives.
Campus cloud — Run in your university’s AWS, Azure, or GCP environment.
On-premise — Deploy in your datacenter. Air-gapped for classified research.
Hybrid — Some workloads local, some in cloud. Your choice.
Desktop — Individual researchers can run locally with Ollama for completely private operation.
Calliope Lab is the AI-powered research environment that multiplies your team's capabilities while keeping your data governed and your compliance intact.