The round was led by Socium Ventures, with participation from NVIDIA, Databricks Ventures, Lionel Messi’s Play Time Ventures, and existing investors

'The new capital will accelerate our growth and further solidify our role as a key player in building and managing GenAI enterprise datasets. Our platform, trusted by several Fortune 50 companies, enables organisations to build complex AI models using the highest quality multimodal datasets,’ writes Vahan Petrosyan, who co-founded the startup with his brother Еigran. Vahan is CEO of the startup.

Since the launch of ChatGPT, the impact of generative AI has changed the IO landscape and set new standards for data quality. Large underlying models and applications such as chatbots, multimodal models, augmented generation (RAG) systems, and AI agents require training data of high complexity and quality.

However, existing solutions have been ill-equipped to meet these needs. As a result, companies building AI products were forced to either build their own internal systems, adapt their projects to legacy SaaS offerings, or even manage complex projects with basic tools such as Excel - similar to the state of the computer vision annotation market prior to SuperAnnotate.

‘We quickly responded to this gap by evolving our platform to meet the specific needs of multimodal AI applications, complex agent data flows, and other GenAI-specific use cases. The need for high quality datasets became increasingly critical as each organisation had multiple use cases requiring specialised data. Recognising this need, we saw an opportunity to create an easy-to-use platform with minimal or no coding - a kind of Swiss Army knife for modern AI training data - that could fully adapt to the changing AI data needs of enterprises,’ notes Petrosian.

In July 2021, startup SuperAnnotate raised $14.5 million to automate computer vision systems. -0-

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