Modulos AI Governance Platform Integrations

Jira is a project management tool that allows you to plan and track the work of your entire team. Atlassian's Jira is the #1 tool for software development teams to plan and build great products. Jira is trusted by thousands of teams. It offers a range of tools to help plan, track, and release world-class software. It also allows you to capture and organize issues, assign work, and follow team activity. It integrates with leading developer software for end-toend traceability. Jira can help you break down big ideas into manageable steps, whether they are small projects or large cross-functional programs. Organize your work, create milestones and dependencies, and more. Linking work to goals allows everyone to see how their work contributes towards company objectives, and to stay aligned with what's important. Your next step, suggested by AI. Atlassian Intelligence automatically suggests tasks to help you get your big ideas done.

GitHub stands as the leading platform for developers globally, renowned for its security, scalability, and community appreciation. By joining the ranks of millions of developers and businesses, you can contribute to the software that drives the world forward. Collaborate within the most inventive communities, all while utilizing our top-tier tools, support, and services. If you're overseeing various contributors, take advantage of our free GitHub Team for Open Source option. Additionally, GitHub Sponsors is available to assist in financing your projects. We're thrilled to announce the return of The Pack, where we’ve teamed up to provide students and educators with complimentary access to premier developer tools throughout the academic year and beyond. Furthermore, if you work for a recognized nonprofit, association, or a 501(c)(3), we offer a discounted Organization account to support your mission. With these offerings, GitHub continues to empower diverse users in their software development journeys.

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

Confluence by Atlassian, a leading content collaboration tool for modern teams, is Confluence. It allows teams to collaborate, create, and share projects in one place. They can also easily publish and access company information and capture, store, and grow their knowledge. Confluence can also be used on mobile devices, allowing teams to track and give feedback, and keep in touch regardless of where they are.

Bitbucket transcends traditional Git code management by offering a unified platform where teams can plan, collaborate on code, test, and deploy all in one place. It is free for small teams of up to five members and offers scalable options with Standard and Premium plans priced at $3 and $6 per user per month, respectively. By enabling the creation of Bitbucket branches directly from Jira issues or Trello cards, it helps keep projects systematically organized. The platform supports build, test, and deployment processes with its integrated CI/CD, enhancing efficiency through configuration as code and rapid feedback cycles. Code reviews are streamlined with pull requests, allowing teams to create a merge checklist and designate approvers while facilitating discussions directly in the source code using inline comments. With Bitbucket Pipelines featuring Deployments, teams can seamlessly integrate their build, test, and deployment processes. Security is prioritized with features like IP whitelisting and mandatory two-step verification, ensuring that code remains protected in the cloud. Additionally, users can restrict access to specific individuals and manage their permissions with branch controls and merge checks to ensure the highest quality of code output. This comprehensive suite of features makes Bitbucket an invaluable tool for modern software development teams.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data

Microsoft Copilot Studio is a powerful and flexible platform designed to help users create, customize, and manage AI-driven agents tailored to meet diverse business needs. Combining the simplicity of low-code development with the advanced capabilities of generative AI, the platform enables users to design intelligent agents that can access and utilize internal knowledge bases, perform complex actions through a wide range of data connectors, and operate autonomously to streamline processes and improve productivity. These AI agents can be seamlessly integrated into existing workflows and deployed across various channels, including Microsoft 365 applications, internal websites, and mobile apps, ensuring they adapt to the unique operational environments of any organization. Furthermore, Copilot Studio includes a robust suite of governance and management tools, allowing IT teams to maintain centralized control over agent usage, monitor performance with detailed analytics, and enforce security policies. This combination of ease of use, advanced functionality, and comprehensive governance makes Microsoft Copilot Studio an invaluable tool for organizations looking to leverage AI to transform their business operations.

Create web and cloud applications that meet your specifications by utilizing the diverse programming languages we offer. Manage your applications effortlessly with cloud services that guarantee consistent availability. Automatically scale your infrastructure in response to demand to save on expenses. Enhance security by automating updates for both the operating system and applications. Benefit from built-in health monitoring and effective load balancing. Concentrate on your application rather than the complexities of the cloud infrastructure. Our platform is designed to offer high availability and remarkable scalability for your applications and APIs. Experience rapid deployment for your applications, with autoscaling capabilities that help maximize cost efficiency and enhance performance. Enjoy integrated health monitoring and load balancing, complete with dashboards and real-time alerts to monitor your systems. The Azure SDK provides an outstanding development experience, seamlessly connecting with Visual Studio. Build and launch robust web and cloud applications and services in just minutes with Azure Cloud Services, allowing you to innovate faster and stay ahead in your projects. The flexibility and efficiency of this platform empower developers to focus on creative solutions while minimizing operational burdens.

MLflow is an open-source suite designed to oversee the machine learning lifecycle, encompassing aspects such as experimentation, reproducibility, deployment, and a centralized model registry. The platform features four main components that facilitate various tasks: tracking and querying experiments encompassing code, data, configurations, and outcomes; packaging data science code to ensure reproducibility across multiple platforms; deploying machine learning models across various serving environments; and storing, annotating, discovering, and managing models in a unified repository. Among these, the MLflow Tracking component provides both an API and a user interface for logging essential aspects like parameters, code versions, metrics, and output files generated during the execution of machine learning tasks, enabling later visualization of results. It allows for logging and querying experiments through several interfaces, including Python, REST, R API, and Java API. Furthermore, an MLflow Project is a structured format for organizing data science code, ensuring it can be reused and reproduced easily, with a focus on established conventions. Additionally, the Projects component comes equipped with an API and command-line tools specifically designed for executing these projects effectively. Overall, MLflow streamlines the management of machine learning workflows, making it easier for teams to collaborate and iterate on their models.