2022年10月18日

布魯塞爾分割比,現代數據的數據訪問管理軟件團隊,加快€400萬年的種子資金。的融資輪被黎明資本共同支持戰Superviso r, Fonoa美杜莎)和起重機企業合作夥伴。也看到了一係列天使投資者的參與,包括Collibra Showpad Harbr。走出隱形!由於投資、分割比從隱形模式已經出現。也將關注它的使命使團隊更有效率的數據簡化數據訪問管理。該公司將專注於讓其效率第一解決方案給客戶。分割比現在推出客戶在歐洲和北美,關注中等規模的組織,有100至3000人,意圖擾亂€110億數據訪問管理行業。首席執行官評論宣布巴特Vandekerckhove表示:“隨著數據管理變得越來越複雜,企業必須創新和安全之間做出選擇——正是這種二分法作為約束對企業數據是最具競爭力的資產。我非常興奮的分割比現在能夠擺脫隱形模式,我們可以得到效率第一解決方案的客戶”。 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.