PrismaX is building a cloud-based platform that lets users remotely teach robots to perform complex, human-level tasks via teleoperation. As tasks are repeated, the system transitions from human-assisted control to full autonomy, creating continuously improving robot models that can be redeployed across industries. The company layers a gamified engagement model on top of the training workflow, awarding users points for completing tasks or daily check-ins, with hints of future airdrops to reinforce participation. Fresh capital will be directed toward scaling the underlying AI models, expanding robot integrations, and accelerating go-to-market efforts aimed at mainstream commercial applications. Although detailed operating metrics such as revenue or user counts were not disclosed, the seed financing underscores significant investor confidence in the product’s technical differentiation and community-driven data engine. PrismaX positions itself as a bridge between manual robotic teleoperation today and fully autonomous robots tomorrow, targeting sectors where automation is still constrained by edge-case variability.

Total raised

$11M

Funding rounds

1

Latest round

Seed

Latest activity

Jan 2026