CALGARY / LONDON (IT BOLTWISE) – Cashew Research is revolutionizing market research with AI by providing faster and more cost-effective solutions for businesses. The Calgary-based company uses artificial intelligence to create customized surveys and efficiently analyze the results. This innovation also enables small and medium-sized companies to benefit from high-quality market research data.
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Market research is a billion-dollar sector that helps companies optimally position their brands. But traditional methods are often expensive and time-consuming. Cashew Research, a Calgary-based company, is using artificial intelligence to speed up and make this process cheaper. By using AI, customized surveys can be created that answer specific questions about brand awareness or advertising messages.
Cashew Research was founded in 2023 by Addy Graves and Rose Wong and specializes in consumer products, particularly in the food and beverage sector. Founder Addy Graves brings over a decade of experience in market research and recognized the need to speed up the process to meet customer needs. With the adoption of AI technologies, Cashew Research has been able to advance the automation of processes that were previously manual and time-consuming.
A key advantage of Cashew Research is the ability to generate fresh and customized data that is not just based on existing information. This sets the company apart from other AI-powered solutions, which often rely on recycled data. Cashew offers a hybrid solution that leverages both the efficiency of AI and the expertise of market researchers to deliver high-quality results.
With pre-funding of 1.5 million Canadian dollars, Cashew Research plans to expand its presence in the US and strengthen its B2B operations. The company sees great potential in opening up new markets that were previously excluded from market research due to high costs or long processing times. The combination of AI and human expertise could give Cashew Research a crucial competitive advantage by bridging the gap between expensive traditional methods and purely AI-based approaches.
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