Less admin. More science.
Dandelion handles the tracking, authentication records, and documentation that slow your lab down — so you can focus on the work that actually matters.
Sound familiar?
These aren't edge cases. They're Tuesday.
“What passage are these cells on?”
A question that should take two seconds. Instead it means digging through a notebook, a spreadsheet, or hoping someone remembers.
“I can't reproduce my own results from six months ago.”
Different reagent lot. Different passage number. Missing details in your own notes. The experiment worked — you just can't prove why.
“Writing the methods section took longer than the experiment.”
Hunting down reagent catalog numbers, lot numbers, passage history, and authentication dates — all so a reviewer can ask you to add more.
“The new postdoc used the wrong cell line for three weeks.”
No authentication record. No clear labeling system. By the time anyone noticed, the damage was done.
What Dandelion does for you
Built around how stem cell labs actually work — not how they're supposed to work.
Passage tracking that just works
Log a split in seconds. Dandelion tracks passage number, date, confluency, and who did it — automatically building the history you'll need later. No spreadsheet maintenance required.
Authentication reminders before it's too late
Dandelion tracks when each line was last authenticated and flags it before you run another month of experiments on cells you can't verify. STR records stored alongside the line, always one click away.
Methods sections that write themselves
Because Dandelion logs everything as you work, it can generate a complete, publication-ready methods draft — cell line sources, passage numbers, reagent lots, mycoplasma test dates — when you need it.
Inventory that keeps up with your lab
Track reagents, consumables, and biological materials with lot numbers attached. When something runs low — or when a lot changes — you'll know before it affects your results.
As a side effect, your lab will naturally meet ISSCR basic research standards — without any extra effort.
The reproducibility crisis is a tooling problem.
Around half of all stem cell experiments can't be independently reproduced. The leading cause isn't bad science — it's bad documentation. Incomplete reporting, untracked cell line histories, and missing reagent details mean that even the researcher who ran the experiment often can't reconstruct what they did.
Dandelion doesn't ask researchers to work differently. It captures the details automatically, in the background, as part of the workflows that already exist. The result is a complete record — not because anyone had time to maintain it, but because the tool did it for them.
“If you can't reproduce it, it doesn't matter how elegant the science is. The field moves forward together, or not at all.”
— Eric Konynenbelt & Ethan Ferguson, Co-Founders
We're building this with researchers, not just for them.
If any of this resonates, we'd love 20 minutes of your time. Your input will directly shape what we build.
Talk to the Founders