2022年10月18日

布鲁塞尔分割比,现代数据的数据访问管理软件团队,加快€400万年的种子资金。的融资轮被黎明资本共同支持战Superviso r, Fonoa美杜莎)和起重机企业合作伙伴。也看到了一系列天使投资者的参与,包括Collibra Showpad Harbr。走出隐形!由于投资、分割比从隐形模式已经出现。也将关注它的使命使团队更有效率的数据简化数据访问管理。该公司将专注于让其效率第一解决方案给客户。分割比现在推出客户在欧洲和北美,关注中等规模的组织,有100至3000人,意图扰乱€110亿数据访问管理行业。首席执行官评论宣布巴特Vandekerckhove表示:“随着数据管理变得越来越复杂,企业必须创新和安全之间做出选择——正是这种二分法作为约束对企业数据是最具竞争力的资产。我非常兴奋的分割比现在能够摆脱隐形模式,我们可以得到效率第一解决方案的客户”。 Henry Mason, Partner at Dawn Capital, said: “The data access management industry is ripe for a shake-up with existing solutions just not fit for purpose. Having witnessed their impressive achievements at Collibra over many years, we’re proud to support Bart, Dieter and the team in their mission to rethink data access management and in so doing to unlock the immense potential of data-driven organisations”. Scott Sage, Partner at Crane Venture Partners, said: “Access to data is a multi-billion dollar problem that desperately needs solving. Businesses and entire data teams are not able to reach their full potential because of data access management inefficiencies, but with Raito they stand a chance. Bart and Dieter have built and scaled data products to some of the most demanding companies on the planet, and it’s a pleasure to support their dream of helping data teams to fly”. How was Raito formed? Raito was formed in 2021 when co-founders Bart Vandekerckhove and Dieter Wachters, who served as Product Manager for Data Privacy and Vice President for Engineering respectively at Collibra, left the company to create a ‘paradigm shift’ in the way data teams manage access to data. They have created an impressive team, with other former Collibra colleagues on board, including Michael Maes and Michael Tandecki, who built Collibra’s first AI/ML modules used by some of the world’s biggest companies, and Nicolas Pirotte, who was one of the driving architects of Collibra’s front-end. Follows productivity-first approach In recent years, the falling costs and broader democratisation of storage and compute led to companies rapidly scaling their data teams, with the consequence of data engineers becoming overburdened by data access requests from those additional team members. Companies have often responded to this challenge by simply opening the data to everyone. Access management went from being tightly controlled to being almost completely ungoverned. Tighter privacy regulations and a string of data breaches have forced companies to review this decision, though a return to centralised access management, which is inadequate in industries where data is a competitive asset. Raito’s productivity-first approach provides data analysts faster access to data, removes the challenging data access requests from data engineers, and gives data governance the tools to control, monitor and report on data usage.