Solutions / Academic Labs
Documentation that keeps up with the experiment — not the other way around.
PI groups, postdocs, and graduate students need to run experiments and document them well — without a dedicated IT team, a LIMS contract, or a three-week onboarding project. Cypher AI is designed to be operational in a day, not a semester.
The problem we solve
The same three problems in nearly every academic lab.
The challenge
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Fragmented notebooks and data Lab notebooks, Google Docs, local spreadsheets, and instrument exports living in separate places. Finding last semester's conditions takes an afternoon.
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Lost protocol context A postdoc leaves and the lab loses three years of implicit protocol knowledge. Documented versions exist but lack the decision rationale.
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Manual figure generation Analysis scripts, R notebooks, and Python snippets all need updating each time the data changes. Reproducible figures take longer than the experiment.
How Cypher AI helps
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One unified experiment store All your results, protocols, and analysis live in one searchable layer. Retrieving past conditions takes seconds, not an afternoon.
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Protocol-as-code with full history Every protocol is versioned with the reasoning captured at writing time. Onboarding a new student means handing them a working, documented protocol — not tribal knowledge.
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AI-generated analysis on request Describe what you need to visualize or calculate. Cypher writes the analysis code and runs it. Figures regenerate automatically when data is updated.
For research groups that want reproducibility without the overhead.
Early access is open to academic labs. No enterprise contract, no configuration sprint, no IT department required.
Request Early Access