Cape Privacy Launches its Open-Source Platform
Cape Privacy has recently announced the introduction of its open-source platform as it acquires $5 million in seed funding.
FREMONT, CA: Cape Privacy is a privacy platform for cooperative data science and machine learning, have recently announced the introduction of its open-source platform as it acquires $5 million in seed funding. The funding was co-led by Boldstart Ventures and Version One, along with the involvement from Haystack, Radical, and Faktory Ventures. Cape Privacy has assisted the enterprise organizes to boost the value of their data by offering an easy-to-use cooperation layer on top of sophisticated privacy and security technology. It develops trust overtime in and across companies with encrypted data-sharing for the advancement of the industry and social good.
According to Gavin Uhma, Co-Founder/CTO at Cape Privacy said, “Cape Privacy was founded on the belief that intelligent products and services should protect our privacy by default. Today, data science and privacy are at odds. Regulations and consumer preferences are minimizing the collection, processing, and sharing of data. Meanwhile, machine learning can help us solve truly important problems, from healthcare to finance. With Cape Privacy, you can model and share privacy-enhanced data while maintaining trust.”
Cape assists the organization to cooperate internally better (e.g., risk, legal, compliance divisions in a bank) or with the help of third-party vendors (e.g., an agency or outside law firm) and within the company (even competitors like leading pharmaceutical firms) by improving the privacy of data.
Its software combines into the customer’s current data science and machine learning structure to offer an integrated workflow that conducts cross-functional so that the contributors can work together on projects and policies as it will save them weeks of meetings. Every company can determine where the Cape’s elements are placed concerning data storage and pipeline systems to make sure data access, privacy, and monitoring successfully to meet its distinctive conditions. Cape permits the individuals to set project-specific monitoring and auditing configurations to make sure that every party has the logs they require and permits them to review and authorize policies or recommend policy transformation with a few clicks from a single-window/pane of glass. Overall, Cape Privacy can bring teams together so that it can become more reliable decisions for safer and more robust data science.