Who Dalea is for

From individual researchers to regulated enterprise labs.

Dalea is built for anyone whose work depends on reproducible biology — from a graduate student analysing flow cytometry data, to an IND-enabling team coordinating a GLP tox study, to a CRO that needs to deliver structured datasets to its sponsor.

By role

Bench scientist
Author protocols once, run them inline, and have results auto-populate a queryable table without exporting CSVs by hand.
Computational biologist
Pull plate-level data into Python or R blocks inside the same notebook. Reference any object by ID; let Dalea track versions.
Lab manager
Track every reagent, freezer, and item by lot. Set low-stock thresholds and read an audit log of who consumed what.
Project lead
Browse running studies across the workspace. Approve template changes; review version history before milestone reviews.
Quality / regulatory
21 CFR Part 11 e-signature, full audit trail (180 day hot, 10 year cold), GMP-style audit reasons on every schema change.
IT / Security
SSO via SAML / OIDC on the enterprise tier, scoped API keys, full audit trail, EU-hosted with regional data residency.

By stage

What Dalea is not

It is not a LIMS in the sense of a fixed schema sold per assay. The schema is yours, designed in the app, and reusable across studies. It is also not a protocol-only tool; your protocols stay co-located with the data they generated.

If you're a single bench scientist who just wants a smarter Word document, Dalea will feel like overkill at first — but the moment your second result lands and you want to ask "what was the IC₅₀ for batch 4?", you will be glad it was structured from day one.

Tip

The fastest way to know whether Dalea fits is to run the Your first PK/PD study tutorial. It walks through a realistic mouse PK study end to end and only takes about 15 minutes.