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WorkThe story, in brief

Decagon Hit $100 Million Betting Against Forward Deployed Engineers

$100M. That's what Decagon just raised betting that embedded AI engineers are the wrong play.

Reporting by Newcomer (VC) 1 min brief
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The KeyNews take

Why it matters

A major funding round challenges the 'forward-deployed engineer' model that has dominated enterprise AI adoption—arguing that AI agents, not humans-in-the-loop, are the path to actual deployment at scale.

The key facts

5 to know

  1. Decagon raised $100M

  2. Founded on thesis that embedded engineers slow down AI adoption

  3. Argues agents should replace forward-deployed engineer model

  4. Published Aug 11, 2026

  5. Reflects broader debate on AI deployment strategy in enterprises

Go to the source

Newcomer (VC)newcomer.co

Publisher excerpt: Embedding software engineers long term just means your software doesn’t work, Jesse Zhang argues
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