Heroz provides advanced AI-driven solutions tailored for automated monitoring, anomaly detection, and intellectual games. Utilizing cutting-edge AI technology from shogi (Japanese chess) development, Heroz's services cater to both B2B and B2C markets. Their technology includes face and object recognition, providing intelligent monitoring and security features.

Viam is a comprehensive AI platform designed for robotics and automation, allowing developers to create and integrate robotic systems effortlessly. It offers solutions for controlling robots, managing their data, and facilitating easy communication between devices. Viam prioritizes user-friendly interfaces while providing robust tools that help streamline the development process. The platform supports real-time monitoring, enabling instant insights and adjustments for optimal robotic performance.

AITernet provides comprehensive assistance for network management, specifically focusing on automation and optimization. It helps users monitor network performance, identify issues quickly, and implement solutions, enhancing the overall efficiency and reliability of connectivity across devices. The AI analyzes traffic patterns and suggests optimal configurations to improve performance, ensuring minimal downtime and resource wastage.

Small Hours is an AI-powered observability platform designed to automate root cause analysis 24/7, minimizing downtime and maximizing efficiency. By hooking into existing alarms and integrating with platforms like OpenTelemetry, Datadog, and Sentry, Small Hours intelligently triages issues, provides contextual insights by connecting codebases and runbooks, and ensures your data remains private. The service is built for developers by developers, optimized for enterprise scalability and velocity.

Patrolling-Zoo offers a flexible framework enabling users to create and experiment with multi-agent patrolling tasks in Python. The library includes a variety of grid-based and graph-based environments, each simulating surveillance, monitoring, and coverage scenarios. Users can configure the number of agents, map size, topology, reward functions, and observation spaces. Through compatibility with PettingZoo and Gym APIs, it supports seamless integration with popular reinforcement learning algorithms. This environment facilitates benchmarking and comparing MARL techniques under consistent settings. By providing standard scenarios and tools to customize new ones, Patrolling-Zoo accelerates research in autonomous robotics, security surveillance, search-and-rescue operations, and efficient area coverage using multi-agent coordination strategies.

Algorithmia is a comprehensive machine learning operations (MLOps) platform designed to automate the deployment, management, and monitoring of machine learning models. It facilitates seamless integration of models into production environments, providing robust monitoring and governance capabilities. Algorithmia supports data scientists, IT teams, and developers in reducing deployment times, enhancing scalability, and maintaining optimal model performance with features like automated detection, customizable governance policies, and real-time monitoring.