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Chronicles

The story behind the story

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Apple has hired a team of at least 18 people from a startup called Silicon Valley Data Science, including the co-founder CEO and CTO

Apple has made a quiet but interesting move in its longer-term strategy around courting more business from enterprises.  The company has hired the tech team …

TechCrunch Ingrid Lunden

Context & Ripple Effects

This is the second data-science talent grab Apple has made in under a year: months after acquiring Lattice Data, the 'dark data' specialist, for around $200M (the Lattice Data deal), Apple has now absorbed at least 18 people from Silicon Valley Data Science — including the co-founder CEO and CTO — rather than buying the company outright.

The hire extends a pattern dating back to Apple's 2015 ramp-up of machine-learning specialists, and TechCrunch frames it as part of a longer-term push to court more enterprise business — a market where Apple historically had little services presence.

First-order effects

  • Silicon Valley Data Science loses its founding leadership and at least 18 of its technical staff to Apple, effectively ending its run as an independent consultancy while giving Apple an in-house team with direct enterprise data-science experience.

Second-order effects

  • Rival cloud and enterprise-AI vendors face a thinner pool of experienced data-science consultancies to hire from or partner with, raising the price of comparable talent acquisitions.
  • Enterprise customers evaluating AI vendors gain another signal that Apple intends to compete for their workloads, pressuring incumbents to sharpen their own enterprise AI offerings.

Third-order effects

  • If the pattern holds — talent-first deals like this compounding into the secretive European lab and the dozens of AI experts Apple later drew away from Google (per the FT's analysis) — Apple's AI capability gets built through quiet team absorption rather than headline acquisitions, making its progress harder for competitors and regulators to track.

The trend: Apple is assembling its AI and enterprise-data capability through serial quiet team hires — a build-by-acqui-hire strategy that began ramping in 2015 and continues to compound.