multi-agent-ai
(5)
The Car That Learned to Explain Itself
BMW AG modernized its Mobile Data Recorder (MDR) telemetry system on Microsoft Azure, deploying a multi-agent AI solution that lets engineers query 5-10 terabytes of weekly test-vehicle data in natural language. Built with Microsoft Foundry, the Microsoft Agent Framework, Azure AI Search, Azure OpenAI, and Azure Cosmos DB, the system accelerates vehicle test-data analysis twelvefold, delivers insights in seconds to minutes rather than hours or days, and gives more than 100 engineers direct access to data that once required IT specialists.
Qodo
Qodo (formerly CodiumAI) is an Israeli-American startup building AI agents for code review, testing, and governance. Where most AI coding tools race to generate more code, Qodo focuses on verifying it - catching bugs, generating tests, reviewing pull requests, and enforcing an organization's own quality standards. Its platform spans IDE plugins, a CLI, and hosted PR-review integrations for GitHub, GitLab, Bitbucket, and Azure DevOps. Founded in 2022 by Itamar Friedman and Dedy Kredo, Qodo has raised $121M across seed, Series A, and a $70M Series B in 2026, and counts Nvidia, Walmart, Red Hat, Intuit, and Monday.com among its customers.
HerculesAI
HerculesAI (formerly ZERO Systems) is a Campbell, California enterprise AI company that builds a verification layer for documents and transactions in regulated, data-intensive industries. Founded in 2017 by Alex Babin and Gevorg Karapetyan, it trains and orchestrates ensembles of specialized mid-sized AI models -- 'AI workers' -- to read unstructured documents, reconcile data across systems, and validate every transaction against contracts, rates, policies, and regulations. Originally focused on legal billing and time capture, Hercules now targets order-to-cash operations across finance, insurance, and staffing, counting Fortune 500 clients including Mercer, S&P, and State Farm.
Nova Intelligence
Nova Intelligence builds an agentic AI platform purpose-built for SAP teams. Its AI agents analyze, document, modernize, and generate the custom code that runs payroll, supply chains, and finance inside Fortune 500 systems, mapping legacy custom code to SAP standard to cut complexity and cost. Founded in 2024 by a Google DeepMind researcher, a repeat founder, and the co-inventor of SAP HANA, Nova targets the roughly $89 billion S/4HANA migration wave companies must complete by 2030. It has raised $40M total, including a $31.5M Series A led by Chemistry.
Emma Qian
Emma Qian is the co-founder and CEO of Nova Intelligence, a San Francisco startup building an agentic AI platform that analyzes, modernizes, and generates custom code for SAP systems. A former research engineer at Google DeepMind and software engineer at Meta AI, Caltech-trained Qian left frontier AI research to attack one of enterprise software's least glamorous and most expensive problems: the migration of decades of custom SAP code to S/4HANA. Nova has raised over $40 million, including a $31.5 million Series A led by Chemistry with backing from Accel, Conviction, and SAP.io, and counts customers like Festo who report working roughly five times faster. She is a Forbes 30 Under 30 honoree.