Describe the experiment you want — Vara's AI builds the cards, steps, parameters, and workflow for you.
Let AI power your experiments and take the busywork out of research.
Human organoids with an autologous tissue-resident immune compartment
Recaldin et al · Nature · 2024
Sampling & ethics
T_RM isolation
Gut organoids
IIO co-culture
mIF staining
Live imaging
scRNA-seq
Drug induction
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Stop manually copying methods sections and guessing missing parameters. AI extracts, you verify, then execute.
Drop in a PDF, Word doc, or even a photo of handwritten notes. Supports 10 discipline-specific parsers.
AI extracts the full protocol and tags every field with a confidence level (explicit / partial / inferred / missing) so you know exactly what to verify.
Resolve risk items, start a run, check off steps as you go. Something failed? One-click iterate to the next version.
Graduate Students
Reproducing a paper for the first time, unsure if the parameters are right
Researchers
Managing multiple experiment versions and tracking changes across iterations
PIs & Lab Leads
Give students a structured workflow to reduce back-and-forth
Organize projects, experiment groups, sub-experiments, and procedure steps in a structured workflow.
Upload a protocol PDF and let AI extract the full procedure and parameters to create an executable workflow.
Define variables with formulas, link them to steps, and use AI to check parameter consistency.
Record observations, deviations, and outcomes for each experiment run with full traceability.
Chat with AI about your experiment data — analyze steps, parameters, and results through multi-turn conversations to accelerate iteration.
Auto-extract methods and parameters from literature, kit manuals, and SOPs to reduce manual entry.
We built privacy into the architecture, not on top of it. Four guarantees below.
Platform administrators can only see project names and aggregate statistics. They cannot access your experiment steps, parameter values, run logs, or any specific content.
Each user's data is fully isolated at the database level. All queries enforce ownership verification — no one else can access your data.
Your experiment data is never used to train any AI model. AI features only process data when you invoke them — nothing is retained afterwards.
HTTPS encrypted transmission, bcrypt password hashing, private file storage, HttpOnly secure cookies — multiple layers of protection for your data.
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