近日，由前Instacart首席增长官联合创立的自动化数据质量监控平台Anomalo宣布，已完成3300万美元的B轮融资。本轮融资由Databricks Ventures领投，现有投资者Norwest Venture Partners、Two Sigma Ventures、Foundation Capital参投。
Anomalo公司致力于利用机器学习和人工智能技术，解决大型数据集中固有的数据质量问题。据悉，该公司推出的自动化数据质量监控平台，可以帮助企业实时发现和纠正数据问题，确保数据准确性和可靠性。在当今大数据时代，数据质量问题已成为制约企业发展的瓶颈，Anomalo的出现，无疑为解决这一问题提供了有力支撑。
谈及投资Anomalo的原因，Databricks Ventures表示：“我们非常看好Anomalo在数据质量领域的创新和技术实力。随着数据规模的持续扩大，数据质量问题日益凸显，Anomalo的解决方案将为企业带来巨大的价值。”
Anomalo创始人兼CEO Amr Fawzy表示：“我们很高兴能获得Databricks Ventures等知名投资机构的支持。这将进一步加速我们产品的研发和市场拓展，助力企业更好地应对数据质量挑战。”
With the completion of this round of financing, Anomalo will further accelerate the research and development of its products and expand its market presence. The company’s innovative solution leverages machine learning and artificial intelligence to address inherent data quality issues in large datasets, ensuring the accuracy and reliability of data. In today’s big data era, data quality issues have become a bottleneck hindering corporate development, and Anomalo provides a powerful solution to address this problem.
Talking about the reason for investing in Anomalo, Databricks Ventures said, “We are very impressed by Anomalo’s innovation and technical strength in the field of data quality. With the continuous expansion of data scale, data quality issues become increasingly prominent, and Anomalo’s solution will bring significant value to enterprises.”
Anomalo’s founder and CEO, Amr Fawzy, said, “We are delighted to receive support from well-known investment institutions such as Databricks Ventures. This will further accelerate the research and development of our products and the expansion of our market, enabling enterprises to better address data quality challenges.
【来源】https://techcrunch.com/2024/01/24/anomalos-machine-learning-approach-to-data-quality-is-growing-like-gangbusters/
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