Former OpenAI Researchers Raise $180 Million for a New Enterprise AI Company
The team is betting that large companies want models they can inspect, host and audit themselves.
The team is betting that large companies want models they can inspect, host and audit themselves.
Nobody in ai expected the shift to arrive this quickly, which is part of why the reaction has been so uneven.
Talent is the quiet constraint. The teams able to execute on this are small, well known to each other, and increasingly able to name their price.
What separates this from previous cycles is the composition of the capital. Crossover funds that retreated in 2023 are back, but they write structured checks with preferences and ratchets that never appear in a headline valuation.
The people closest to it describe the mood as cautious optimism: real demand, real revenue, and a healthy fear of repeating the last cycle.
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Written by
Priya Narayan
Priya reports on frontier model labs, compute supply and the businesses being built on top of them.
