Dodge AI raises $2.65m from Accel and Google for ERP maintenance

The San Francisco startup uses AI agents to resolve enterprise system incidents and document custom logic, targeting a market it values at $600 billion annually.

By The Datatech Times Editorial Team AI level 2 of 5
AI level 2 of 5: drafted by our AI editorial assistant from the company's announcement; fact-checked, edited and signed off by Mark Walker, Editorial Director. What the levels mean
A long, brightly lit data center aisle is lined with two rows of white server racks, each featuring clear external tubing and internal blinking lights, leading to a plain white wall with two doors.

Dodge AI has closed a $2.65 million pre-seed round led by Accel and Google's AI Futures Fund, with additional participation from New Build Venture Capital, Antler, Schema Ventures, and a cohort of angels from the SAP ecosystem. The San Francisco-based startup is building an AI agent platform designed to handle incident resolution, change requests, and operational maintenance across enterprise application stacks including SAP, Salesforce, Microsoft Dynamics, Oracle JDE, and Kinaxis.

The company argues that the standard enterprise maintenance model, which typically involves teams of 20 to 50 offshore consultants managing a continuous flow of incidents, creates structural knowledge debt. Fixes go undocumented, customisations accumulate, and the institutional logic of how a system actually behaves becomes locked inside consultant memory and ticket histories rather than anywhere retrievable.

What the platform does

Dodge AI's platform operates as a control plane across multiple enterprise systems simultaneously, connecting to ERP customisations, ITSM systems, and legacy configurations to trace root causes and recommend or apply fixes. A key design goal is building what the company calls an "exception intelligence context graph": a structured record of the non-standard rules that govern how each customer's deployment actually runs, such as why a particular warehouse uses a different inventory allocation method, or why a background job is restricted to overnight execution.

Co-founder and CEO Rebhav Bharadwaj said the company believes long-horizon AI agents can replace the headcount model. "Dodge AI gives enterprises the ability to continuously improve and 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," he said.

The company cited two specific customer outcomes in its announcement. In one case, the platform traced a goods receipt printing fault across SAP, Kinaxis, and internal warehouse software and delivered a fix within minutes, unblocking a truck loading operation. In a second case, a customer running inventory planning only overnight due to repeated SAP crashes saw the process made 132 times faster after Dodge intervened, with a ten-person maintenance team freed from the task and order allocation time reduced by eight hours.

Dodge AI says it is already working with more than a dozen enterprises, half of them publicly listed companies, handling hundreds of queries per hour across SAP, Kinaxis, and Dynamics stacks.

Market context and competitive landscape

The enterprise application management and AIOps market is crowded at the tooling layer, with established players including ServiceNow, Broadcom (through its CA and Micro Focus acquisitions), and IBM offering IT operations and automation capabilities. A newer wave of AI-native startups is targeting the same maintenance and modernisation workflow, including vendors focused on ERP-specific copilots and agentic process automation.

The $600 billion figure cited by Dodge AI for the cost of enterprise "firefighting" is not sourced to a named analyst report in the release, and should be treated as a company estimate rather than an independently verified market size. That said, the structural problem is well documented: large system integrators including Accenture, TCS, and Infosys derive substantial revenue from application managed services contracts, which enterprise buyers increasingly view as cost-inefficient and opaque.

Accel investor Prayank Swaroop positioned the investment as a bet on maintenance as the prerequisite context layer for safe agentic automation in production systems, a framing that aligns with broader industry caution about deploying AI agents directly inside mission-critical ERP environments without guardrails.

At a $2.65 million round size, Dodge AI is at a very early stage. Investors and prospective customers will be watching for expansion beyond the current dozen-enterprise cohort, publication of independently verifiable benchmark results, and progress toward enterprise security certifications such as SOC 2 Type II, which are typically required before procurement teams at large public companies will approve production deployments of AI tooling in ERP environments.

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