13 real-world examples of companies getting results from AI with ai agents: the numbers, the companies, and the tools behind each win. Updated daily.
Most-used tools here: NVIDIA Nemotron, Amazon Bedrock AgentCore, Claude Code, Dot, Muse, Instinct
Katelyn Lesse, who leads platform engineering at Anthropic, said her roughly 200-person group has Claude write all of its code. Engineers focus on system design and verification while agents handle building, monitoring, and autonomous test fixes, including a…
A Business Insider reviewer tested three consumer AI agents, Muse, Instinct, and OpenAI's Dot, on email triage, lunch ordering, and building a personal website. Dot surfaced an older email thread with the reviewer's tax accountant that had never been closed…
Phaidra applied self-learning AI agents built on NVIDIA DSX Flex, DSX Max-Q and DSX Exchange to tune cooling and power allocation in data centers. The result is roughly 10% more usable compute under the same power budget, plus better grid flexibility…
Shopify post-trained an open NVIDIA Nemotron model to run the GraphQL subagent behind its Sidekick merchant assistant. The model matched a leading frontier model's accuracy on an internal benchmark while cutting serving costs 90% and responding seven times…
Google CEO Sundar Pichai says he now relies on AI agents that condense the previous 24 hours of internal activity, follow threads across chat groups, and monitor compute usage by product area. He says the agents save him roughly an hour a day, while humans…
AI tools from OpenAI and Google's Wiz were used to locate old, long-standing vulnerabilities in PHP, which were reported and addressed before exploitation. The article also cautions that the same AI capabilities raise risks if misused.
Google Cloud's new A5X instances, built on NVIDIA Vera Rubin NVL72, are generally available next month after early access. In WPP's initial tests, creative agent workflows that normally needed a multi-node cluster ran on a single A5X instance.
Siemens trained its circuit-board inspection system at an Erlangen electronics factory using synthetic defect images created with NVIDIA Cosmos Data Factory tools. The approach reduced inspection calibration time by 40%. Siemens also estimates 20% cost…
Dell Technologies has spent close to two years running fully autonomous AI agents inside its own operations. The company argues that reorganizing people and processes around these agents, rather than just adding tools, is what gives it an edge. The article…
AWS describes a conversational workflow where supply chain managers ask Amazon Quick in plain language to spot disruptions, assess exposure, and draft an emergency RFQ. AgentCore-hosted MCP servers pull live data from ERP, monitoring, and procurement systems…
Eon, a cloud data platform vendor, used Amazon Bedrock AgentCore to build an MCP Gateway that replaces per-tool credentials and local MCP processes. Its engineers and autonomous SRE agent now reach investigation tools across AWS, GCP, and Azure through one…
Researchers reported that ALTK-Evolve, a learned-memory system for AI agents, reached the top of the τ²-bench customer service leaderboard. The result came without depending on a frontier-class model, pointing to memory design as a lever for agent performance.
Three startups from the Barcelona Supercomputing Center's AI Factory Accelerator Programme have moved AI into production or deployment. Qatium uses its water-network AI in early production, OneCareAI built a tool using NVIDIA NIM to flag hidden atrial…