Shows

Few companies face higher stakes when deploying AI than Waymo, the self-driving car company under Alphabet that spun out of Google. Its models do not merely generate text or automate back-office tasks: They help vehicles navigate unpredictable streets, respond to human drivers and make split-second decisions in the physical world. But the methods Waymo uses…

Enterprise AI agents can do the work — but the infrastructure to let them talk to each other, prove they should be trusted, and be audited when something goes wrong is still being built. Here’s a look at how five startups are tackling that gap — around orchestration, observability, connectivity, and security — as shown…

Nimble, a New York City-based tech startup VentureBeat previously covered for its efforts to re-invent web search for enterprises by using multiple AI agents to improve accuracy and depth, is taking another step toward its vision of a world in which agents do most of the web searching instead of us typing and reviewing the…

Target SVP Siobhán Mc Feeney says the AI models her company runs aren’t what gives Target its edge — everything built around them is. “There’s a lot in it. That to us is the moat,” Mc Feeney said at VB Transform 2026. “The models are great, and they’re important. They’re just not sufficient to be…

Bright Machines wants to solve one of the least glamorous but most consequential problems in the AI buildout: what happens to quality data when a human being has to touch the production line. The San Francisco-based manufacturer announced today the Hybrid BRC (Bright Robotic Cell), an expansion of its Bright Factory platform that lets human…

Visa aimed Anthropic’s Claude Mythos at the infrastructure behind billions of daily transactions, a network that spans more than 200 countries and territories, moves money in roughly 160 currencies, and connects nearly 5 billion payment credentials to more than 175 million merchant locations. The model stitched minor weaknesses deep in the stack into working exploit…