Why "Cloud-Based" LIMS fail when your science succeeds.
Biotechnology is about uniqueness and discovery.
You need software to speed, validate and automate that unique process.
By definition, a "standard" software package can not support a "custom" process without being customized.
Most Online LIMS platforms force you to interact with your data through web APIs. This works fine for a few hundred rows. But when you need to load 10 million screening results, these APIs crumble.
SaaS platforms are built on rigid, pre-defined schemas. They know what a "Plasmid" is, and they know what a "Protein" is. But if you invent a Protein-Small Molecule Conjugate, you are forced to use ad-hoc adaptations or "metadata fields" that aren't properly indexed or searchable.
If the software forces you to change your science to fit its database, the software has failed.
Many popular cloud platforms (you know the ones) started as Electronic Lab Notebooks (ELNs). They excel at text and small tables. They were never architected for high-throughput discovery.
When you hit scale, the UI lags, searches time out, and the "Cloud" becomes a swamp.
We have tools to interact with existing Cloud APIs, allowing us to either work alongside your current system as a supplemental high-performance data engine, or to extract and migrate your data to a robust Blue Mosaic architecture.
Contact us for a migration assessment →