Bengaluru | August 2025 — Founded by Ananth Vanchi in 2024, CodeKarma has secured $2.5 million in pre-seed funding from investors including Prosus, Accel, Xeed Ventures, SenseAI Ventures, and Stargazer Ventures. The round values the company at around $10 million.
Building Software with Continuous Feedback in Mind
CodeKarma is redefining software productivity. Instead of reacting to post deployment alerts, teams get real-time production data integrated directly into their coding environment. This closed-loop system helps developers identify risks, eliminate dead code, and maintain cleaner codebases as AI-generated code becomes mainstream.
Ananth explains the core problem: enterprise codebases, especially AI enabled ones, are growing complex without insight into how they behave in production. CodeKarma bridges that gap by marrying dev time insight with runtime behavior empowering human and AI agents alike to write smarter code.
Why It’s a Strategic Bet
The funding will accelerate product innovation, expand enterprise integrations, and support global expansion particularly into the US market.
Investors see CodeKarma as foundational infrastructure in the age of AI enabled software creation. Prosus notes that unmanaged complexity and tech debt are rising and CodeKarma provides a persistent relay between code and production context. Accel highlights its AI‑IDE integrations as essential for large enterprise teams adopting developer-first tooling.
Lessons for Founders
- Build deep, not broad: Deep integration with production environments sets CodeKarma apart from generic observability tools.
- Tech debt is a real moat: Addressing how enterprise systems evolve under AI pressure is infinitely sticky.
- Enterprise-first means starting with trust: Global customers need reliability and insight before adoption CodeKarma is designed around that principle.
Final Thought
CodeKarma signals a shift: AI-augmented development needs production-aware tooling. For founders building AI-native infrastructure especially in enterprise and dev‑tools this is a reminder: infrastructure that understands code behavior is now strategic.
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