Product & Tech
Seb
Veea launches VeeaONE, a distributed-intelligence platform pitched as "cybersecure sovereign data fabrics and enterprise AI grids for physical AI" — edge-to-cloud on NVIDIA Jetson, x86 and Arm
Watch: the closest positioning overlap with daXos yet — "data fabric for physical AI" as a product, today. Study their agent interfaces and sovereignty pitch; ours must win on fleet-native depth (trips, harsh events, road conditions), not adjectives.
SiMa.ai open-sources Palette Neat, an agentic development environment for physical AI that cuts application build times from months to days
Use: agentic dev tooling is collapsing physical-AI build costs — the same argument behind our MCP-first integration story. Reference it when explaining why AI-ready data beats raw telemetry feeds.
KPMG: agentic and physical AI will reshape network demand, pushing inference traffic toward the edge, closer to end users
Signal: the architecture consensus is drifting our way — edge-first capture with cloud contextualization. Useful third-party backing for the platform-architecture slide.
How AI-agent integration is transforming IoT — connected systems gaining independence, flexibility and situational understanding
Read: the piece's core claim — agents are only as good as the contextual device data beneath them — is our thesis in the industry's own words. Quarry it for pitch language.