01
Computational Chemistry
Molecular dynamics simulations. Drug discovery pipelines. Materials science modeling.
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RESEARCH & ACADEMIA
Research infrastructure that passes the grant audit.
Universities, national labs, and research institutions get computational environments that enable collaboration — without compromising data governance or intellectual property, and without the plaintext-API-key chaos.
Research computing is chaos.
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 perfect question-answering machine for your research data.
Real solutions for real research challenges.
Multi-tenant isolation — Each lab group gets their own environment. No cross-contamination.
Grant compliance — Demonstrate data governance for NIH, NSF, DOE, and international funders.
AI-assisted analysis — Turn your average researcher into a 10x data scientist. Natural language to SQL. Instant visualizations.
Reproducible environments — Same environment, every time. No more 'works on my machine.'
Collaboration without compromise — Share notebooks, not credentials. Collaborate without exposing raw data.
Any data source — Connect to institutional databases, cloud storage, APIs. Query anything, build any report.
The AI Lab: hook it up to your data. Ask questions in plain English. Get answers.
Your researchers become more productive. Your compliance posture improves. Everyone wins.
- 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
- Full audit trails on data access
- Policy-based governance by department, grant, or project
- No API keys floating around in notebooks
Research Capabilities
02
Physics & Engineering
Signal processing. Simulation data analysis. Instrumentation control.
03
Bioinformatics & Genomics
Sequence analysis. Gene expression studies. Population genetics.
04
Climate & Earth Science
Climate modeling. Satellite data processing. Environmental monitoring.
05
Social Sciences
Survey analysis. Behavioral data. Policy research.
06
Digital Humanities
Text analysis. Corpus linguistics. Historical data digitization.
Deployment
How it deploys for research & academia.
Deploy where your data already lives. Calliope AI gives each lab group an isolated environment with full audit trails on data access — the governance NIH, NSF and DOE grants ask you to demonstrate, without the plaintext-API-key chaos. Choose the mode that matches your institution.
Campus cloud
Run inside your university's own AWS, Azure or GCP account. The fit for institutions that already operate cloud and want governed, multi-tenant environments where each lab group stays isolated.
Explore →On-premise & air-gapped
Deploy in your own datacenter or alongside HPC, air-gapped for classified or export-controlled research. The footprint is light enough to run inside a department VPC or campus network without a major infrastructure lift.
Explore →Desktop
Individual researchers run locally with Ollama for completely private operation — no cloud required. Bring your own keys and keep sensitive work entirely on your own machine.
Explore →Mix it however the work demands — some workloads local, some in the cloud — and connect to your institution's supercomputing resources. Researchers across campuses or partner institutions collaborate through browser-based desktops, sharing notebooks instead of credentials. AWS today, built to port.
