Dodge AI’s founding team: Aditya Thakur, Rebhav Bharadwaj and Aditya Patil Enterprise software is never finished. Once SAP, Salesforce, Oracle, or Microsoft Dynamics goes live, the business keeps changing. Over the years, thousands of company-specific rules get built into the software. When something breaks, the answer is rarely in one place.
Keeping it all running costs enterprises more than $600 billion a year. Dodge AI has raised $2.65 million to change how that work gets done. Its AI platform resolves incidents and change requests across enterprise applications. It also documents the custom logic that makes each system unique.
Accel and Google’s venture arm led the round. Schema Ventures, New Build Ventures, Antler, and angels from the SAP ecosystem also took part. Why this matters now For decades, enterprise application maintenance has run through large system integrators like Accenture, TCS, and IBM. The standard playbook: put 20 to 50 people offshore.
They handle incidents, change requests, background jobs, and the everyday operational fires that keep enterprise systems alive. That model keeps the lights on, but it creates a deeper problem. Fixes go undocumented, customizations pile up, and technical debt compounds inside systems of record. Over time enterprises grow more dependent on their maintenance partner.
The knowledge of how the system actually works lives across tickets, consultants, configuration layers, and memory. “For a long time, the only way to maintain enterprise systems was to add more people,” said Rebhav Bharadwaj, Co-Founder and CEO of Dodge AI. “We believe long-horizon agents can change that. Dodge AI gives enterprises the ability to continuously improve & heal their mission critical systems so incidents can be resolved faster, technical debt can be understood, and the knowledge trapped inside maintenance work can become the foundation for future transformation.” What Dodge AI is building Dodge AI’s platform acts as a control plane across enterprise applications. These include SAP, Salesforce, Microsoft Dynamics, Kinaxis, Oracle JDE and the other systems that sit at the core of large companies. It connects across business processes, ERP customizations, ITSM systems, and legacy configurations.
That lets it pinpoint root causes, recommend fixes, and modernize faster. Dodge AI also designed the platform to become a source of truth for agents operating in production. In enterprise systems, the most important knowledge lives in the exceptions. Why one warehouse allocates inventory differently, why one pricing rule overrides another, why a background job runs only at night. “Frontier models are incredibly capable, but enterprise adoption still requires significant hill climbing.
Dodge AI captures the necessary rules and exceptions for this, while self healing your systems instead of an endless transformation project,” said Aditya Thakur, Co-Founder and CTO of Dodge AI. Traction Dodge AI is already working with more than a dozen enterprises, half of them publicly listed companies. The work covers incident management and process optimization across stacks like SAP, Kinaxis, and Microsoft Dynamics. The platform fields hundreds of queries every hour.
That gives Dodge AI a widening view into how enterprise systems break and which patterns drive repeat maintenance work. The results are concrete. A truck could not load at a warehouse because a Goods Receipt Note was printing incorrect information. Dodge AI traced the fault across SAP, Kinaxis, and internal warehouse software and delivered a fix within minutes.
Another customer had been running inventory planning overnight because SAP kept crashing if it ran in the morning. Dodge AI modernized the process and made it 132x faster. It freed the team of 10 people maintaining it, and improved order allocation time by 8 hours. What’s next Dodge AI sees maintenance as the entry point to a much larger change in enterprise IT.
Companies want to modernize, but CIOs cannot risk breaking systems that already work, and daily incidents consume tight budgets. Solving maintenance first frees IT teams from constant firefighting and gives them a clearer path to modernization. The same exception intelligence that resolves incidents today is what lets production agents operate safely inside mission-critical systems tomorrow. “Application maintenance is one of the largest and least modernized categories in enterprise technology,” said Prayank Swaroop, investor at Accel. “Dodge AI is taking on the work that keeps the world’s most important systems running every day. By starting with maintenance, the team is building the context layer enterprises need before agents can safely operate in production.” The company is now pushing deeper into the maintenance layer, into the exceptions, configurations, and operational logic that define how each enterprise actually runs.
Whoever understands mission-critical systems best gets to automate them. Dodge AI is turning the hidden intelligence inside every enterprise into the operating manual for the agents that will run enterprise IT. About Dodge AI Dodge AI has built the unified platform of AI agents for ERP maintenance and modernization across your enterprise application stack. It helps identify root causes, resolve L1/L2 tickets and enable you to continuously modernize your mission critical applications.
Built on Dodge’s exception intelligence context graph, Dodge powers some of the world’s largest enterprises to self heal and continuously improve their enterprise applications. Its agents can proactively reason & execute across systems, helping CIOs to focus on larger transformation efforts without adding headcount or outsourcing contracts. Accel, Google AI futures fund and others back Dodge AI. Contributed article.
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