Industry
Employment
Hiring, retention and the data behind both
The constraint
GDPR · fairness · candidate data
Systems that make decisions about people face scrutiny a recommendation engine never does. The data is sparse, sensitive, and full of proxies for attributes you are not permitted to use. Anything built here has to explain its reasoning to someone who did not build it, and keep explaining it after the model changes.
What applies here
AI Engineering
Building AI systems and getting them into production, inside the constraints the environment imposes.
87% forecast precision on consumer transactions
Data Engineering
The pipelines, models and platforms that make an organisation’s own data usable.
Hundreds of sites, thousands of updates a minute
Where it starts
Most work in employment begins one of two ways.
Discovery
Consultancy & diagnostics
Consultancy. We work with your teams to understand the data you hold, the processes running on top of it and where optimisation is genuinely available, then say plainly what is worth building and what is not.
Read moreFoundry
Engineering & delivery
Building. A senior-led team takes a decision, yours or one that came out of Discovery, through architecture, delivery and release, then stays with the system as load, scope and the business around it grow.
Read moreAlso in public interest