Dodge AI Raises $2.65 Million to Tackle Enterprise Software Maintenance
Dodge AI said on September 29, 2026, that it had raised $2.65 million in a round backed by Accel and Google’s AI Futures Fund. New Build Venture Capital, Antler, Schema Ventures and investors from the SAP ecosystem also participated. The San Francisco company is developing AI tools to investigate fa
On September 29, 2026, Dodge AI announced it had secured $2.65 million in funding for its enterprise software maintenance technology. The round of investment was led by Accel and Google’s AI Futures Fund, with additional contributions from New Build Venture Capital, Antler, Schema Ventures, and investors within the SAP ecosystem.
Dodge AI, based in San Francisco, is focused on creating AI tools to diagnose issues and manage changes in enterprise applications after they have been deployed. These applications often build up proprietary rules and modifications over time, making it challenging for IT teams to trace the root cause of a failure. Dodge AI’s platform aims to streamline this process by connecting various sources of information to pinpoint probable causes, suggest solutions, and record the underlying rules for each system.
According to Rebhav Bharadwaj, Dodge AI’s co-founder and CEO, the traditional approach of expanding the team to handle enterprise system maintenance is no longer viable. The company intends to enable enterprises to resolve incidents more swiftly and preserve the knowledge gained from maintenance efforts for future system modifications.
Dodge AI's platform is compatible with a variety of applications, including Kinaxis and Oracle JD Edwards. The company currently collaborates with over a dozen enterprises, half of which are publicly listed.
One notable example mentioned by Dodge AI involved tracing an incorrect warehouse document across SAP, Kinaxis, and internal software, resolving the issue within minutes. Another instance saw the company accelerate a customer's inventory-planning process by a factor of 132, reducing order allocation time by eight hours. The names of these customers and the veracity of these results were not disclosed, and they have not been independently verified.
The operational rules documented by Dodge AI are intended to assist AI agents in operating within production systems more safely. Prayank Swaroop, an investor at Accel, highlighted the necessity of understanding this context before AI agents can operate effectively in enterprise applications.
Written by urgent.news from Korea IT Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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