17 real-world examples of companies getting results from AI delivering productivity: the numbers, the companies, and the tools behind each win. Updated daily.
Most-used tools here: Muse, Amazon Quick, Amazon Bedrock AgentCore, Claude Code, Dot, 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…
Revolut is rebuilding parts of its technology stack around PRAGMA, a single foundation model running on NVIDIA Blackwell Ultra GPUs with cuDF and Dynamo-Triton. The system already serves an initial 80 million customers and is engineered to handle three 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…
Meta reported on its Q3 earnings call that its AI app Muse has more than 10 million users. Shopping and personal productivity are among the most common ways people use it, according to the company.
The nonprofit U.S. Hunger uses Amazon Quick, connected nightly to its SQL Server data via SPICE, so leaders can explore program and financial data without waiting on new data pulls. CEO Rick Whitted now follows his own questions through Full Cart…
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.
European AI cloud provider Nscale tested NVIDIA DSX MaxLPS on GB300 NVL72 systems to match power allocation to workloads. The tests showed 37% more GPUs and nearly 50% higher aggregate inference throughput within the same provisioned power. Nscale plans Vera…
Google Cloud and partners released llm-d 1.0, a stable Kubernetes-native layer that coordinates vLLM or SGLang model servers into one pool. A vendor-reported Ironwood TPU coding benchmark showed median time-to-first-token cut by more than 85% and 2.4x…
Otter.ai, which makes an AI meeting assistant, secured $320 million entirely from General Catalyst's Customer Value Fund. That fund is tied to the revenue customers generate, signaling that paying users are fueling the company's growth.
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…
Octave Reliance, a quality management SaaS for regulated industries, built a multi-tenant AI foundation on Amazon Bedrock using Cohere Embed v4. The platform embedded roughly 2 billion documents and launched a Complaint Triage Assistant. The shared…
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…
Cloudflare tested its Clairic extraction model on Workers AI in a damaged-product claims pipeline, chaining it with its Clef decision model and GLM-5.3 for drafting replies. The cascade ran about 3.2x faster than GLM-5.3 alone and lowered cost per million…
Adobe is using NVIDIA accelerated computing in Frame.io to help creative teams search video content faster. The GPU-accelerated pipeline combines NVDEC decoding, TensorRT inference and CUDA preprocessing, and is helping German producer UFA locate the right…
Microsoft says its in-house Maia 200 accelerator is now running in production across the US, Europe and Australia, serving Copilot and built-in AI features in Teams. The company reports up to 1.7x more tokens per watt than leading GPU infrastructure and…