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Streamsets is a data engineering platform for designing, deploying, and managing streaming and batch data pipelines across hybrid and multi-cloud environments.

Zenoss is a SaaS-based IT monitoring platform that collects, correlates, and analyzes full-stack infrastructure and application data to detect, diagnose, and predict operational issues.

Controlplane is a multi-cloud platform-as-a-service that lets teams build, deploy, and run microservices applications across AWS, Google Cloud, and Microsoft Azure.

Genape AI is a content generation and rewriting tool that uses artificial intelligence to create, refine, and repurpose text for diverse professional and creative use cases.

Extrahop is a network detection and response platform that analyzes network traffic in real time to identify threats, performance issues, and anomalous behavior.
Tencentcloud is a cloud computing platform that provides scalable infrastructure, AI services, and integrated tools for building, deploying, and managing applications across Tencentβs digital ecosystem.

Cerebrium is a serverless cloud platform for building, deploying, and scaling AI applications using configurable GPU types for batch processing and real-time inference.

Middleware provides full-stack observability, delivering real-time monitoring, diagnostics, and issue detection across applications and infrastructure while maintaining secure handling of operational data.

Escape is a dynamic application security testing tool that integrates into modern development stacks to automatically identify vulnerabilities, including complex business logic flaws, using AI-based analysis.

Snowplow collects, structures, and streams real-time event data from digital products, providing detailed behavioral context on human and AI user interactions for analytics and customer-facing systems.

Databricks is a unified analytics and data engineering platform that enables large-scale data processing, collaborative data science, and machine learning on cloud-based data lakes and lakehouses.

Pytorch is a deep learning framework that provides tensor computation, automatic differentiation, and tools for building, training, and deploying neural network models in Python and C++.
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