For engineers

Getting hired as an AI engineer is broken. Your repositories aren't.

Not a keyword match against a job description. Your repositories and published models are the application — read for what you actually built, how far you took it, and where you are heading next.

Ajai GeorgeLast updated

Two ways this can go, and neither is a rejection email

Either the work already reads at the level a team is hiring for, or it does not yet and the assessment tells you precisely which part.

What an assessment leads toPublic work is read across five dimensions, leading to one of two outcomes: a match with a hiring team, or a development plan targeting the specific gap.Your public workRepositories, modelsRead acrossfive dimensionsMatched to a teamSurfaced to hiring companiesA development planTargeting the specific gap

Our Commitment

We don't screen people out.
We build them up.

The industry filters out almost everyone who applies and calls it a hiring process. We call it waste.

Great engineers with fixable gaps don't get rejected here — they get a structured training curriculum built around exactly what the market needs next. Your score isn't a verdict. It's a development plan.

Nobody is told they fall short and then left there. If the gap is closable, you get told which gap, and what closing it involves.

That's not recruitment. That's transformation.