China's Infiforce Raises Nearly $150M in Funding to Develop 'Ego Native World Model' for
Infiforce has raised nearly $150 million across Series A and Series A+ rounds to develop embodied-AI models, expand its data infrastructure and deploy more robots in industrial settings. According to the Chinese startup, Dunhong Asset Management and state-owned investment platforms led the financing, with participation…
According to the Chinese startup, Dunhong Asset Management and state-owned investment platforms led the financing, with participation from Zhejiang University Science and Technology Innovation Group, Yandu State-owned Assets Management, Lishui State-owned Assets Management and other investors. Existing shareholder Genesis Partners Venture Capital also increased.
Infiforce indicated the funding will primarily support three areas: development of its AtomBrain embodied-intelligence system and causal world models, continued expansion of its DataGrid AI infrastructure, and larger deployments of several types of robots in manufacturing and other commercial environments. The company said it.
What Happened
Rather than relying primarily on demonstrations captured from an outside camera or data gathered by remotely operating robots, Infiforce is using first-person video and related information about movement, spatial relationships and environmental feedback to train its models. Infiforce said plans to release.
Infiforce has raised nearly $150 million across Series A and Series A+ rounds to develop embodied-AI models, expand its data infrastructure and deploy more robots in industrial settings.
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Key Details
The company suggests that this approach could provide larger amounts of training data at lower cost than collecting all data directly from robots. DataGrid provides the infrastructure feeding those models.
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Infiforce noted it plans to continue expanding deployments in manufacturing, inspection, logistics, energy and commercial settings while developing world models with longer-term memory and continuous-learning capabilities.
Why It Matters
The system combines data collection, processing and hardware and supports several collection methods, including handheld grippers, first-person recording devices and remote operation of physical robots. Infiforce said the goal is to create a feedback loop in which robot deployments generate additional data.
The company is also working with CRRC High-Tech on embodied intelligence for infrastructure applications and has participated in work on a proposed national specification covering crowdsourced embodied-intelligence data collection and management.
Infiforce pointed out that its robots and systems are being tested or commercialized across more than 30 Chinese cities and more than 100 scenarios, including commercial services, warehousing, logistics and industrial manufacturing.
What Reports Say
Coverage of the story so far points to:
Continued reporting by AI Insider as more details emerge
