Inbolt to discuss physical AI’s deployment problem at RoboBusiness
THE SO WHAT
The bottleneck for physical AI isn’t perception anymore—it’s deployment into messy, variable environments and existing workflows. If you’re piloting robots, budget more for integration, change management, and tooling than for the hardware itself.
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MORE FROM THE WIRE
Robotics & AutonomyAgility Robotics reports $1.8M revenue ahead of humanoid SPAC
$1.8M in revenue against a $140M operating loss underscores that humanoids are still a capex-heavy R&D bet, not a mature category. If you’re a potential customer, treat deployments as co-development partnerships and negotiate for roadmap influence, not just unit price.
Robotics & AutonomyThis Robot Will Draw Your Blood Now
A robot that can autonomously locate veins and draw blood moves clinical robotics from logistics into direct patient interaction. Hospital and diagnostics operators should start mapping which high-volume, protocolized procedures could follow this path and what retraining or union dynamics that implies.
Robotics & AutonomyNscale is selling Figure $3.5bn of compute and buying a stake in it
A compute vendor taking equity in Figure alongside a $3.5B, 100,000‑GPU deal is a bet that humanoid demand will be constrained more by access to training and inference capacity than by robot hardware. If you’re in physical AI, expect more structured compute-for-equity offers—your cap table is becoming part of your infra strategy.
Robotics & AutonomyTravis Kalanick’s Atoms might be getting into the robotaxi business
Another well-capitalized entrant eyeing robotaxis suggests the category remains open for new operating models, not just more vehicles. Cities, fleet operators, and suppliers should be planning for a more fragmented AV landscape — with multiple platforms competing for curb space, data, and regulatory mindshare.