900,000 specimens for a biotech company, turned into one searchable database
The problem
The company's specimen records were spread across scattered, inconsistent sources. Finding one specimen, or every specimen that matched a set of criteria, meant digging through several systems by hand.
What AI did
AI pulled the records into one structure and tagged and classified every specimen. It's the kind of job AI is very good at: huge, repetitive and easy to check.
What people did
Our team designed the structure, decided which attributes counted, and checked the AI's classifications against the source records. Nothing went into the final database without that check.
One database of 900,000 specimens that the team can search by any of 20 attributes, in seconds.
Capability is cheap now. Judgement is what you're paying for.
Tell us where AI is helping your marketing and where it's making you nervous. We'll tell you what we'd keep, what we'd change and what we'd stop.
Talk to us about a data project