Question 1

Is my research data ever used to train shared models?

Accepted Answer

No. Customer data is fully isolated and is never used to train shared or foundation models. Your data stays yours — full stop.

Question 2

Can Beakerloop be deployed on-premise?

Accepted Answer

Yes. BeakerloopOS can deploy entirely within your own private cloud or on-premise environment, so sensitive research data never leaves your control — with the same agentic capabilities available in our managed cloud.

Question 3

How do you ensure results are reproducible?

Accepted Answer

We separate reasoning from execution and prefer deterministic tool calls over generative answers. Every action, dataset, and decision is recorded in a tamper-evident audit trail for full reproducibility.

Question 4

Which lab instruments and tools does it integrate with?

Accepted Answer

Beakerloop connects to cheminformatics tools like RDKit and AlphaFold 3, dry-lab pipelines such as Nextflow and the Schrödinger Suite, and wet-lab automation from Hamilton, Tecan, and Opentrons — plus notebooks like Benchling and Jupyter.

Question 5

What compliance standards do you support?

Accepted Answer

Beakerloop is built for regulated industries with a 21 CFR Part 11-ready audit trail, SOC 2 Type II controls in progress, and HIPAA-aligned safeguards for sensitive data.

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