Enterprise software startup CodeKarma is in talks to raise $5 million to $6 million in a new funding round, with existing investors Prosus and Accel expected to lead the transaction, sources told Inc42. The discussions are still ongoing, and the final contours of the deal could change before any agreement is signed. Queries sent to CodeKarma and Accel did not receive a response by the time of publication, while a Prosus spokesperson declined to comment on market speculation.
If completed, the round would mark a swift follow-on for the Bengaluru-based startup, which raised $2.5 million in a pre-seed round a little over a year ago. That earlier round was co-led by Prosus, Accel and Xeed Ventures, with SenseAI Ventures and Stargazer Ventures also participating. The proposed new financing suggests that the company has continued to attract support from its existing backers as it builds out a category that sits at the intersection of enterprise software, developer tooling and artificial intelligence.
Founded in 2024 by Anantharam Vanchi Prakash and Priyanka Nahata, CodeKarma operates what it describes as a production intelligence platform. The company's core proposition is to map the behaviour of software in production directly to the underlying code, giving developers and AI agents a clearer view of what is active, what is dormant, where performance issues are emerging, how different parts of a system depend on one another, and what risks may arise when code is changed. In practical terms, that means the startup is trying to reduce the uncertainty that often surrounds large, distributed software systems, especially in enterprise environments where even small changes can trigger costly outages or regressions.
Prakash, a former Amazon and Flipkart executive, is the cofounder and chief executive officer, while Nahata serves as cofounder and chief technology officer. The startup currently offers four products. KarmaLens provides production insights within developers' integrated development environments. KarmaDomain maps dependencies across microservices and APIs. KarmaPulse gives engineering leaders an overview of operational issues. KarmaIQ delivers production context to AI coding agents. Together, the suite is aimed at helping both human developers and AI systems understand software behaviour before changes are made.
During its previous fundraise, CodeKarma said it planned to use the capital to strengthen its AI capabilities, enter new enterprise verticals, expand in the US, hire employees and invest in product development. Prakash also said at the time that the company was working toward building autonomous software agents that could go beyond identifying problems in code and actually act on fixing them. That ambition places CodeKarma squarely in one of the most closely watched corners of the AI market: tools that do not merely assist developers, but increasingly participate in the software creation and maintenance process itself.
The funding talks come as investor interest intensifies around startups building software-development tools and infrastructure for the AI era. In July, AI software engineering startup Vorflux raised $15 million in a seed round led by Y Combinator. The same month, AI software creation startup Emergent raised $130 million at a $1.5 billion valuation. In June, Inc42 exclusively reported that vibe-coding startup Rocket was in talks to raise fresh funding in a SIG-led Series A round. Accel, which is expected to participate in CodeKarma's proposed round, is also an existing investor in Rocket.
The broader funding environment underscores how quickly capital has shifted toward AI-native developer tools. Indian AI startups raised $676 million across 57 deals in the first half of 2026, more than four times the $162 million raised across 30 deals in the corresponding period last year. That surge reflects not only investor enthusiasm for AI applications, but also a growing belief that the next wave of enterprise software will be built around systems that can understand, monitor and modify code with far greater autonomy than traditional tools.
For CodeKarma, the proposed round could provide the runway to deepen its product stack and expand its enterprise footprint at a time when the market is increasingly crowded but also rapidly expanding. The startup is still early in its journey, but its backers appear to be betting that production intelligence and AI-assisted software operations will become essential infrastructure for modern engineering teams. Whether the current talks close at the top end of the proposed range, or evolve into a different structure altogether, the interest itself signals that investors continue to see room for differentiated enterprise AI plays in India's startup ecosystem.