HEINEKEN
HEINEKEN used Azure AI Foundry to create a multi-agent platform that enables employees to access data and information across the company in their native language. With the help of …
Summary: Third Moment Research runs a research agent in Technology (data/analytics). Reported outcome: 10,000 agents running concurrently on 36–48 hour sessions; Codex cut a backtest from ~3 hours to ~3–5 minutes (97% reduction); 1 trillion OpenAI tokens in a single day (OpenAI-reported). Source: OpenAI.
Third Moment Research runs 10,000 concurrent OpenAI-powered agents (Codex harness with GPT-6 models as an outer supervisor) on autonomous 36–48 hour quantitative-finance research sessions that test trading strategies, design follow-up experiments and spawn subagents; it also uses Daybreak so agents pen-test their own research environments.
Source: OpenAI
Verification: verified by reading source page
HEINEKEN used Azure AI Foundry to create a multi-agent platform that enables employees to access data and information across the company in their native language. With the help of …
Rede Américas, a Latin American hospital network with 25 hospitals and 400 partner health insurance companies, became an early adopter of Gemini Enterprise Agent Platform in the re…
The Eon AI Agent empowers cloud infrastructure teams to streamline data protection operations. It connects Google Cloud accounts, triggers resource discovery, monitors protected re…
Genentech’s gRED Research Agent, built with Claude on Amazon Bedrock Agents, autonomously multi-steps scientific queries across PubMed and internal repositories, expected to automa…
Genspark AI Agent turns multi-step work into finished outputs with one prompt by combining search, web interaction, content generation, and media creation. It helps users execute r…
Merck is reshaping research and development through a Gemini Enterprise-powered "agentic engine" that condenses weeks of regulatory filing work into a single afternoon.
One email a week with newly verified agent use cases and their outcomes.