AI testing startup, RagaAI, has successfully concluded a seed funding round, securing $4.7 million with pi Ventures leading the investment. The funding round witnessed participation from global investors, including Anorak Ventures, TenOneTen Ventures, Arka Ventures, Mana Ventures and Exfinity Venture Partners. Gaurav Agarwal, CEO and founder of RagaAI, outlined the company's utilization plans for the funds, stating, "These resources will be directed towards research and development, fostering innovation, and expanding our customer base. Currently comprising a team of 40, our objective is to double our workforce to 100 by recruiting professionals across diverse domains such as Data Science, Engineering, and Product".

RagaAI serves as an automated testing platform catering to various AI types, including GenAI. The platform's core models, referred to as RagaAI DNA, leverage automation to promptly identify, diagnose, and rectify AI issues. With a repertoire of over 300 distinct tests, the platform aids users in pinpointing root causes such as data drift, edge case detection, subpar data labeling quality, bias in data, model robustness issues, or adversarial attacks. Supporting multimodal applications, including LLMs, images/videos, 3D, audio, NLP, and structured data, RagaAI aims to mitigate risks by 90% while accelerating AI development by over three times. The platform has garnered clientele from Fortune 200 and Fortune 500 companies across the US, Europe, and India. Its pricing model is structured around monthly usage subscriptions, with variations based on geography and industry.

Gaurav Agarwal highlighted RagaAI's strategic collaborations with industry leaders such as Nvidia and Qualcomm US, emphasizing their deep engagement in advancing the frontiers of AI innovation. Manish Singhal, Founding Partner at pi Ventures, underscored the importance of AI testing in ensuring the dependability and ethicality of intricate models within the expanding AI landscape. He commended RagaAI's Drift detection technology, characterizing the platform as well-suited to tackle crucial challenges in global AI deployments.