San Francisco-based Dodge AI has raised US$2.65 million in a funding round led by Accel and Google's venture arm, with participation from New Build Venture Capital, Antler, Schema Ventures, and angels from the SAP ecosystem. The startup is building an AI platform that resolves incidents and change requests across enterprise applications including SAP, Salesforce, Oracle, and Microsoft Dynamics. The platform also documents the custom logic that makes each system unique, creating an operational record for future automation.
A Costly Maintenance Problem
Enterprise software is never finished once SAP, Salesforce, Oracle, or Microsoft Dynamics goes live, and keeping it running costs enterprises more than US$600 billion a year. For decades, enterprise application maintenance has run through large system integrators such as Accenture, TCS, and IBM, with 20 to 50 people offshore handling incidents, change requests, and background jobs. "For a long time, the only way to maintain enterprise systems was to add more people," said Rebhav Bharadwaj, CEO of Dodge AI.
An AI Control Plane for Enterprise Applications
Dodge AI's platform acts as a control plane across enterprise applications including SAP, Salesforce, Microsoft Dynamics, Kinaxis, Oracle JDE, and other core systems. It connects business processes, ERP customizations, ITSM systems, and legacy configurations to pinpoint root causes, recommend fixes, and support modernization, while capturing exceptions that define how each company operates. The founding team includes CEO Rebhav Bharadwaj, CTO Aditya Thakur, and COO Aditya Patil.
Enterprise Traction and Early Results
Dodge AI is already working with more than a dozen enterprises, half of them publicly listed companies, on incident management and process optimization across stacks like SAP, Kinaxis, and Microsoft Dynamics. The platform fields hundreds of queries every hour, giving the startup a widening view into how enterprise systems break and which patterns drive repeat maintenance work. In one case, Dodge AI traced a warehouse loading fault across SAP, Kinaxis, and internal software and delivered a fix within minutes.
Reducing Firefighting and Enabling Modernization
Another customer had been running inventory planning overnight because SAP kept crashing if the process ran in the morning. Dodge AI modernized the process, made it 132 times faster, freed a team of 10 people maintaining it, and improved order allocation time by 8 hours. These results show that the platform can reduce daily firefighting while also creating capacity for larger modernization efforts.
The Road Ahead
Dodge AI sees maintenance as the entry point to a much larger change in enterprise IT, because companies want to modernize but cannot risk breaking systems that already work. Solving maintenance first frees IT teams from constant firefighting and gives them a clearer path to modernization, while exception intelligence that resolves incidents today lets production agents operate safely tomorrow. "Application maintenance is one of the largest and least modernized categories in enterprise technology," said Prayank Swaroop, investor at Accel.
Dodge AI is pushing deeper into the maintenance layer, into the exceptions, configurations, and operational logic that define how each enterprise actually runs. The company argues that whoever understands mission-critical systems best gets to automate them, turning hidden intelligence into the operating manual for production agents. With early enterprise traction and fresh funding, Dodge AI is positioning itself to modernize one of enterprise technology's largest and least changed categories.