Mimir Classroom Integrations

Canvas by Instructure is a cloud-based learning management system for every stage and style of education. Available to institutions of all sizes and types, from individual K-12 classrooms to universities to companies with a blended or fully virtual environment. As the hub of your digital learning environment, Canvas offers complete LMS functionality, including standards-based grade books, course content authoring, customizable student assessments, mobile communication, video learning, and digital badging, (just to name a few). Canvas LMS integrates with your institution's existing SIS and other teaching tools. With over two hundred different LTI tools educators can customize courses and monitor engagement with classes or individual students. Canvas also has top-rated mobile apps to keep everyone informed and connected, on the go, on any device. Take teaching and learning to the next level with Canvas LMS, the foundation of the Instructure Learning Platform.

NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.

​Doctor Droid is an AI-driven platform designed to revolutionize monitoring and troubleshooting for engineering teams. It automates complex investigations, following standard operating procedures to analyze data across multiple integrations, identify root causes, and execute standard runbooks for self-healing. By proactively listening for alerts, Doctor Droid prepares relevant data and insights, reducing on-call time by up to 80% and enabling engineers to respond swiftly. It facilitates rapid onboarding of new engineers by automating the search for documents, learning new tools, and understanding data, allowing them to become primary on-calls from day one. With the capability to perform ad-hoc investigations, such as analyzing Kubernetes clusters or checking recent deployments, Doctor Droid adapts and creates new plans based on suggestions and existing documents. It integrates seamlessly with over 40 tools across the stack.