Annu Intelligence launches six models in one week to push industrial embodied AI deployment
量子位 · wechat · 2026-09-08
QbitAI reports China's embodied AI sector raised 43.8B yuan in early 2026 (nearly 80% of all of 2025), with industrial settings closest to mass deployment. Industrial embodied AI startup Annu Intelligence released six models covering the full stack:
- Data: Helios, a real-time long-video generation model (19.5 FPS for minute-long videos on a single H100), plus SimLab, a soft-body simulation platform already validated in logistics sorting projects
- Judgment: ActiWorld, a world model focused on action-consequence verifiability via inverse-dynamics heads, bidirectional prediction and motion weighting; its success/failure prediction deviates from reality by under 3.25%, and it cut relative failure rate by 13.6% on real sorting tasks with zero inference overhead
- Training: RoHIL/EvoHIL real-robot RL reaches peak performance in 30 minutes, hits 100% success on USB insertion, with only 1.32% human intervention under lighting shifts — cutting deployment cost 80%
- Execution: AnuVerse-0.5, a 14B MoT world-action model with 100ms inference on desktop GPUs, plus the Nexus deployment system that orchestrates different end-to-end models and integrates with SAP EWM/Joule
Annu's differentiated strategy is deploying first, models later: engineers embedded at Fulin Precision's production lines turned a 4-month initial deployment into a 3-day repeatable process with 300+ hours MTBF. CEO Wen Hongjie argues deployment know-how is the moat — echoing a Goldman Sachs report that soft-body manipulation is "fundamentally unsimulatable," making real production-line data the industry's long-term barrier.
Related event: Embodied AI Shifts to Deployment as Annu Ships Six Models in a Week(2 posts)→
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