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SuperBryn, the Evals, Observability, and Self-Learning layer for enterprise voice AI, has raised $1.2 million in a pre-seed funding round led by Kalaari Capital CXXO Initiative. The round also saw participation from angel investors including Rikant Pitti (Co-founder, EaseMyTrip), Arjun Pillai (Founder, Docket AI), Sharath Keshava Narayanan (Founder, Sanas AI), Harish Manian (Group CEO, BMH), and Nivin Pauly (Leading South Indian Actor). The startup will use the raised capital to accelerate product development, expand engineering hiring, and deepen market validation with early enterprise customers across industries where dependable voice automation is now a strategic priority.
Nikkitha Shanker, Co-founder of SuperBryn, said, “Voice agents fail silently. An enterprise might have a million conversations a month, but they have no idea which ones went wrong, why the agent fumbled, or how to fix it without manually reviewing thousands of calls.”
“We’re building the layer that surfaces what’s breaking, why it’s breaking, and automatically makes the agent better, without human intervention. Monitoring and Evals is non-negotiable in industries like healthcare, finance, and insurance, where one failed conversation can mean a missed diagnosis, a compliance violation, or a claim that never gets processed,” Shanker added.
Jayraj Bharat Patel, AVP, Kalaari Capital, said, “Voice AI is at an inflection point, enterprises are moving from experimentation to scaled deployment, but reliability remains the biggest bottleneck. SuperBryn will fill a critical missing layer with independent evaluation, monitoring, and continuous improvement. Nikkitha and Neethu have deep technical and 0-to-1 experience, and are extremely passionate about setting the reliability standard for voice AI globally. We are super excited to partner with them on this journey.”
About SuperBryn
SuperBryn was founded by two women technologists from Kerala in 2025 by Nikkitha Shanker and Dr Neethu Mariam Joy. The idea emerged from a recurring industry problem. The startup said that the voice agents perform well in controlled pilots but often fail at scale, particularly when dealing with regional accents, noisy environments, multi-turn dialogue and edge cases that current platforms do not detect. The founders set out to build a reliability layer that would make enterprise voice AI scalable and fit for production.