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Description

Our platform, powered by machine learning, provides immediate visibility into your traffic, enabling you to recognize users even if they attempt to conceal their identities. It effectively identifies attacks and bots, offering a wealth of real-time analytics while employing cutting-edge identification methods. Compatible with leading browsers and programming languages, our service allows seamless user identification across various devices and platforms. The culmination of our thorough identification process results in a detailed response that includes a unique and persistent identifier for each device, ensuring consistent recognition of users throughout different sessions. Additionally, you will receive in-depth insights regarding the client's device, which are derived from our sophisticated fingerprinting methodologies and machine learning evaluations. This extensive data encompasses various parameters such as browser versions, operating systems, and potential threat assessments, providing an all-encompassing overview of user interactions. Ultimately, this empowers businesses to make informed decisions based on user behavior and device characteristics.

Description

SnowcatCloud is a cloud-based platform designed for customer data infrastructure, utilizing an open-source variant of Snowplow known as OpenSnowcat, which allows businesses to gather, manage, route, and amalgamate behavioral and event-level information from various sources including web, mobile, servers, and IoT. This capability empowers teams to construct a comprehensive real-time view of their customers while ensuring they maintain complete control and ownership over their data. The platform offers various deployment options such as a fully-managed service, cloud-hosted solutions, “bring your own cloud” alternatives, and self-hosted open-source setups, catering to diverse needs regarding privacy, budget, and infrastructure. With enterprise-level security measures in place, including SOC 2 Type II compliance, SnowcatCloud ensures robust protection and swift data delivery. Additionally, it enhances event data streams through identity resolution methods, such as browser fingerprinting and matching techniques, which refine customer profiles, while also assisting in the development of a customer knowledge graph for more profound insights. Furthermore, it seamlessly integrates with analytics tools and data warehouses, fostering a more cohesive data ecosystem for organizations.