Set the problems students work on, host them for an internship or an industry semester, and judge candidates on work they have shipped and defended, not on a résumé line.
Give a student team a real problem from your business and review what they bring back.
Your practitioners run a session in a studio or sit on a Demo Day panel.
Summer internships from Year 2, with students who have already shipped work.
A paid, credit-bearing semester inside your team in the final year, assessed jointly with the university.
Meet candidates with their records in front of you, using our assessment and interview tools if you want them.
Fund selection, training and assessment for a role you hire for repeatedly, and meet the cohort first.
Every graduate shares the same spine: data, AI engineering or AI tooling, and verification. They specialise by lane in the final year. These are first roles; destinations such as forward-deployed engineer or product manager usually follow two to four years of experience. BBA roles are added when that track opens.
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Planned launch industries: banking and financial services, and SaaS and IT services, with healthcare and manufacturing to follow.
We plan cohorts around real commitments, so we count signed offers of briefs, internships and industry semesters, not logos. We name partners publicly only with written permission.