Dodge AI Secures $2.65M from Accel and Google to Automate Enterprise Software Maintenance with AI Agents

Dodge AI has secured $2.65 million in seed funding to disrupt the $600 billion enterprise software maintenance industry with AI agents that automate upkeep across SAP, Salesforce, and Microsoft Dynamics. The round was co-led by Accel and Google's AI Futures Fund, with participation from Schema Ventures, New Build Ventures, Antler, and angel investors from the SAP ecosystem1

1

2

2

.

Tackling a $600 Billion Problem in Enterprise Software Upkeep

Enterprise software maintenance has long relied on large system integrators like Accenture, TCS, and IBM, which typically assign teams of 20 to 50 people to handle incidents, change requests, and operational fires. This model keeps systems running but creates a deeper problem: fixes go undocumented, customizations pile up, and technical debt compounds inside systems of record1

1

. Over time, enterprises grow increasingly dependent on their maintenance partners, with critical knowledge scattered across tickets, consultants, and configuration layers. Dodge AI's platform aims to change this by using AI agents to resolve incidents and document the custom logic that makes each system unique2

2

.

How the AI Platform for Enterprise Software Works

Dodge AI's platform functions as an AI-driven control plane across enterprise applications including SAP, Salesforce, Microsoft Dynamics, Kinaxis, and Oracle JDE. It connects across business processes, ERP customizations, ITSM systems, and legacy configurations to pinpoint root causes and recommend fixes1

1

. The platform creates what the company calls an "exception intelligence context graph," which captures the critical knowledge that lives in exceptions—why one warehouse allocates inventory differently, why one pricing rule overrides another, or why a background job runs only at night2

2

. Co-founder and CTO Aditya Thakur explained that while frontier models are incredibly capable, enterprise adoption requires significant hill climbing, and Dodge AI captures the necessary rules and exceptions while self-healing systems1

1

.

Real-World Impact on Enterprise Software Maintenance

Dodge AI is already working with more than a dozen enterprises, half of them publicly listed companies, handling hundreds of queries every hour1

1

. In one case, the platform resolved a warehouse loading issue caused by a Goods Receipt Note printing incorrect information by tracing the fault across SAP, Kinaxis, and internal warehouse software, delivering a fix within minutes1

1

2

2

. Another customer had been running an inventory planning process overnight because SAP kept crashing during morning hours. Dodge AI modernized the process, making it 132 times faster, freeing a team of 10 people, and improving order allocation time by 8 hours1

1

.

Why This Matters for Enterprise IT Modernization

CEO Rebhav Bharadwaj stated that for a long time, the only way to maintain enterprise systems was to add more people, but long-horizon agents can change that approach1

1

. The startup sees maintenance as the entry point to a larger change in enterprise IT. Companies want to modernize enterprise IT, but CIOs cannot risk breaking systems that already work, and daily incidents consume tight budgets. By resolving incidents and documenting custom logic first, Dodge AI frees IT teams from constant firefighting and provides a clearer path to digital transformation1

1

2

2

. Prayank Swaroop, investor at Accel, noted that application maintenance is one of the largest and least modernized categories in enterprise technology, and by starting with maintenance, Dodge AI is building the context layer enterprises need before agents can safely operate in production1

1

.

What to Watch: From Maintenance to Production Agents

The same exception intelligence that resolves incidents today will enable production agents to operate safely inside mission-critical systems tomorrow1

1

. As enterprises increasingly struggle with the trade-off between maintaining legacy systems and pursuing modernization, Dodge AI's approach of documenting and automating maintenance work could become the foundation for safer, faster digital transformations. The startup is now pushing deeper into the maintenance layer, focusing on exceptions, configurations, and operational logic that define how enterprise systems actually work1

1

. For organizations spending hundreds of billions annually on enterprise software upkeep, this shift from human-dependent maintenance to AI-driven automation represents a fundamental change in how critical business systems are managed and evolved.