Startup RagaAI has raised 4.7 million dollars for the development of software to detect errors in neural networks - reports Bloomberg. The goal is to eliminate problems such as AI hallucinations and improve the delivery of important information by artificial intelligence systems.
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Startup RagaAI has created, as its founder Gaurav Agarwal claims, the "most comprehensive AI testing platform in the world". Its aim is to increase the accuracy and safety of artificial intelligence systems and prevent business failures in this area.
– It's the kind of tests that developers usually don't have the time and space to perform on their own. It's understandable that they focus more on building the model, but in the rush associated with AI development, they often forget about testing – Agarwal convinces in a conversation with Forbes.
The inspiration for founding the startup for Agarwal, a former engineer at NVIDIA and Texas Instruments, was his personal story, when he barely avoided a tragedy while driving a semi-autonomous car, whose obstacle detection systems failed.
Konrad Budek
RagaAI directs its offer to data scientists and machine learning engineers, enabling them to test their AI products at every stage of development and implementation. The platform covers areas such as large language models, natural language processing and image recognition.
Agarwal himself, talking about his experiences working at NVIDIA and Texas Instruments, emphasizes the importance of eliminating errors in AI systems. Especially in areas of high responsibility, such as cancer diagnostics, aircraft maintenance or personnel selection.
The RagaAI startup, whose main headquarters is located in Bengaluru, India, plans to use the funds raised for further development. It works with clients from industries such as e-commerce, aeronautics or medical imaging, and its solutions have already reduced the number of errors in AI systems by 90%.
Manish Singhal, founding partner of pi Ventures, expresses his belief in the importance of reliable and impartial AI systems.
"In the rapidly evolving landscape of artificial intelligence, the importance of reliable and impartial systems is key, and AI testing is becoming the basis for ensuring safety, reliability and ethics of complex models" – says Singhal.
The company expects the number of customers to grow to a hundred by the end of the year and plans to double its workforce from 40 to 80 people.
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