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Scaled Cognition builds AI systems that learn and improve from human feedback at scale.
$100MSeries A
Investor undisclosed
A $100M Series A for a feedback-loop AI company signals that post-training optimization (RLHF-adjacent work) is now a standalone business, not just an internal capability—investors believe there's defensible margin in the infrastructure layer between raw models and production systems. If you're building anything that needs to adapt to user behavior or domain-specific performance, this validates that outsourcing the feedback-collection and model-tuning piece is becoming a real option rather than DIY.