Explore compounds, biological pathways, and the questions behind your data. Gyulab In-Silico pairs a model fine-tuned for biochemistry with coordinated research agents that work with files and source material. It’s being built for learning, personal investigation, and formal research.
Starting with 15 early users.
Join the waitlist to be considered for the first testing group.
{
"analyte": "glucose",
"value": 92,
"unit": "mg/dL",
"source_range": [70, 99],
"source_page": 3,
"source_row": 12
}Glucose 92 mg/dL 70–99
Bring in lab PDFs, DNA files, and glucose spreadsheets, including Quest and Labcorp reports. Gyulab is being designed to pick out the results, units, and source details, so you spend less time copying between documents.
Work through a question about a compound, unpack a paper, or develop a research idea. Agents handle different parts of the task, while the specialised model brings biochemical context. Published findings and community experience stay clearly labelled.
The alpha is being designed to process your files in private cloud containers using models hosted for Gyulab. Your uploads won’t be sent to public AI services or used to train public models. We’ll share storage, retention, and access details before you join.
We’re starting with 15 people to test the first version. Biohackers, chemistry enthusiasts, longevity coaches, and researchers are welcome. Tell us what you work with and what gets in the way. We’ll review applications for fit with the initial features.
Contact Gyulab Alpha: alpha@gyulab.com