Miju LabsWhy they are on the map
CEO; listed on the Krea 2 technical report; sets the aesthetic direction. source — evidence dated 2026-06
Decides whether the problem is funded.
How Krea buys data
Krea 2 tech report (2026-06-23) says preference annotations were 'collected entirely in house, by people familiar with the specific strengths, weaknesses, and quirks of the model', and that they prototyped reward models with Thinking Machines' Tinker. FLUX.1 Krea post (2025-07) argues that generic preference datasets hurt aesthetics and that under 1M high-quality examples is enough. May 2026: a Contra Labs study using working creatives benchmarked Krea 2 Large on style fidelity. 2026 'ML Researcher - Posttraining' role will 'coordinate with data teams and partners to manage collection of preference data' and 'train custom VLM as reward models'.
Small team (~17 in April 2025, grown since). Founders lead. Research covers Diffusion and Posttraining (RL, reward VLMs, evals). There is an internal data team that does annotation, and a 'Personalization & Recommendation' ML role models user taste.
Known vendors: contra-labs, Thinking Machines Tinker (infra, not data)
This person was mapped in pass 1. Career, what they have said on the record, interviews, connections, why they matter to us and how to reach them are added in pass 2, which starts with tier A.