Handwritten notes you can barely read
You run a full day of experiments, then spend your night decoding your own notebook.
AI tools that accelerate scientific discovery
Your notebook should not kill your experiment.
You are juggling illegible notes, lost files, and results no one can reproduce. LabAlly is a free AI-native electronic lab notebook for graduate students in experimental science, built to keep your data readable, structured, and usable. You also get built-in AI characterization workflows that are hard to find anywhere else.
Built by researchers, for researchers.
You know this feeling.
Protocols you cannot reproduce months later
A tiny detail goes missing and suddenly your own result feels impossible to trust.
Negative results disappear at graduation
Years of failed conditions and hard-earned lessons vanish when a student leaves the lab.
What you get with LabAlly
As easy as Notion
Use a block-based editor with zero training so you can write, organize, and move faster from day one.
Voice dictation at the bench
Talk through your protocol in real time and LabAlly transcribes and structures everything as you work.
Built-in AI for characterization
Drop in spectra, micrographs, or chromatograms for peak fitting, classification, and anomaly detection without writing Python.
It stays free for students while giving your lab a cleaner scientific memory.
Built by researchers, for researchers
The LabAlly team came out of groups at Harvard, Stanford, MIT, and Columbia.
Harvard
Stanford
MIT
Columbia