Your lab inventory and experiments, finally in sync.
Inventorae connects reagent tracking and experiment runs in one place — so no one discovers a missing reagent at the bench.
The Problem
Labs still run on spreadsheets and memory.
Most academic labs use one tool for inventory — usually Excel — and a separate one for protocols. Neither talks to the other.
Two disconnected systems
Inventory lives in a spreadsheet. Protocols live in an ELN or notebook. Reagent usage gets re-entered manually — or not at all.
Stockouts at the worst moment
Researchers find out a reagent is missing or expired once they're already at the bench — not before the run begins.
Reactive reordering
Someone notices the bottle is empty. The order goes in late. Experiments get delayed while waiting for reagents.
How It Works
Inventory-first experiment management.
A protocol can't start if reagents aren't confirmed available.
- 1
Track inventory once
Add reagents, lots, and storage locations. Nothing changes about how you procure — expiry dates and quantities are tracked automatically.
- 2
Create a run from a template
Define a protocol template once. When a researcher starts a run, the system checks stock availability before anything begins.
- 3
Inventory updates automatically
When a run completes, consumed quantities are deducted from the right lots (FEFO). No manual re-entry. No guesswork.
- 4
Reorder before it's urgent
Running low triggers a reorder flag. Export a purchase-ready CSV before a run is blocked.
About Us
Built by researchers and engineers who felt the pain.
Inventorae started as a question: why do academic labs — doing some of the most careful, precise work in science — still track their reagents in Excel?
We're not building another enterprise LIMS. We're building the tool we actually wish existed: lightweight, fast to set up, and designed around how lab work actually flows — inventory first, then experiments.
Who We Are
Two people who got tired of the problem.
Eness Berbara
Co-founder — Research & Domain
M.Sc. microbiology researcher at INRS. Has lived the inventory-in-Excel problem firsthand. Brings the lab workflow knowledge that keeps the product grounded in real research practice.
Qian Yi Wang
Co-founder — Engineering
Software engineer at Amazon. Focused on building tools that are simple to adopt and reliable enough to trust with real data. Believes good software for science should be invisible.
Contact
We'd love to hear how your lab works.
We're in early research mode. A 20-minute conversation would genuinely help us build something useful.