According to a recent LinkedIn post from Pear VC, the firm participated in an $8.4 million funding round for NomadicML led by TQ Ventures, alongside several other investors and notable individuals. The post indicates that NomadicML is building infrastructure to extract structured, reliable insights from large volumes of video data used in robotics and autonomous vehicle systems.
Claim 30% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
The company’s LinkedIn post highlights that NomadicML’s technology is already in use by customers such as Zoox, Mitsubishi Electric, NATIX, and Zendar, suggesting early commercial validation in advanced mobility and industrial automation. For investors, Pear VC’s involvement points to continued conviction in “physical AI” and video-based data infrastructure, a segment that could see increased capital flows as robotics and AV deployments scale.
The post suggests that NomadicML is targeting a key bottleneck in the sector: making sense of abundant sensor and video data for training and monitoring AI systems. If the company can deepen penetration with existing customers and expand to additional robotics and industrial players, this could support recurring software-like revenue streams and enhance Pear VC’s exposure to high-growth infrastructure plays.
As shared in the LinkedIn update, Pear VC frames this investment as a partnership with NomadicML’s founders, positioning the firm as an early-stage backer in a potentially foundational category. For Pear VC’s portfolio profile, backing video reasoning infrastructure may help diversify beyond traditional software and align the fund with emerging trends in autonomy, industrial automation, and AI safety tooling.