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Strongly.AI Platform Documentation

Complete guide to deploying, managing, and scaling AI-powered applications on the Strongly.AI platform. This documentation covers every platform capability -- from deploying containerized applications and building automated workflows, to implementing enterprise governance policies, MLOps pipelines, and cost management strategies.

New to Strongly.AI?

Start with Getting Started for a walkthrough of platform setup and your first deployment. For specific tasks, use the navigation sidebar or ask STAN, the platform's built-in AI assistant, for contextual help.

What is Strongly.AI?​

Strongly.AI is an enterprise AI platform that enables organizations to build, deploy, and manage production-ready AI applications with comprehensive governance, cost management, security, and workflow automation capabilities. The platform provides a unified control plane for the full AI application lifecycle -- from development and experimentation through deployment, monitoring, and compliance.

Platform Capabilities​

AI Applications​

Deploy containerized applications with support for Python, Node.js, React, FastAPI, R Shiny, MCP servers, static sites, and fullstack applications. Includes auto-scaling, version control, environment management, custom domains, and integrated platform services. Learn more

Workflows​

Build automated data and AI pipelines using a visual drag-and-drop workflow builder or STAN, the AI-assisted workflow builder. The platform includes over 250 node types across 11 categories, with distributed tracing, execution monitoring, and execution management. Learn more

AI Gateway​

Unified API gateway for 12+ AI providers and 200+ models, including OpenAI, Anthropic, Google, AWS Bedrock, Azure, and more. Supports fine-tuning, self-hosted model deployment with autoscaling, cost tracking, and endpoint management. Learn more

Managed Add-ons​

Provision and manage databases and services directly on the platform, including PostgreSQL, MySQL, MongoDB, Redis, Neo4j, RabbitMQ, Milvus, Greenplum, and SurrealDB. Each add-on includes automated provisioning, connection management, and lifecycle controls. Learn more

Data Sources​

Connect to 15+ external database types including MySQL, PostgreSQL, MongoDB, BigQuery, Snowflake, Oracle, SQL Server, and more. Data sources are available to workflows, applications, and other platform services. Learn more

MLOps​

End-to-end machine learning operations including experiment tracking, model registry, AutoML, A/B testing routers, and drift detection. Track metrics, compare runs, manage model versions, and automate model promotion. Learn more

Governance​

Policy management, compliance monitoring, audit trails, and promotion workflows. Define and enforce policies across application deployments, manage approval stages, and maintain compliance records for regulatory requirements. Learn more

FinOps​

Cost tracking, budget management, resource scheduling, and optimization recommendations. Monitor spending by team, project, or resource type, set budget alerts, and generate cost reports. Learn more

Projects and Workspaces​

Development environments with persistent storage, resource isolation, and team collaboration. Organize work into projects and spin up workspaces for interactive development. Learn more

Marketplace​

Pre-built application templates for common AI and data workloads. Browse, deploy, and customize templates to accelerate development. Learn more

Platform Management​

Kubernetes resource management, cluster monitoring, centralized logging, and infrastructure troubleshooting tools for platform administrators. Learn more

STAN - AI Assistant​

Built-in AI assistant for platform operations, workflow building, and contextual help. STAN can generate workflows from natural language descriptions, answer platform questions, and guide users through complex tasks. Learn more

Security and Access Control​

Strongly.AI implements enterprise-grade security throughout the platform:

  • Authentication -- Email/password authentication with multi-factor authentication (MFA/2FA) enforcement and Google SSO integration
  • Role-Based Access Control -- Five distinct roles: admin, developer, app, user, and platform-admin, each with granular permissions across platform resources
  • Team Management -- Organize users into teams with shared resource access and configurable permissions
  • API Key Management -- Programmatic access with scoped API keys for automation and CI/CD integration
  • Session Management -- Configurable session policies, device tracking, and forced logout capabilities
  • Audit Logging -- Comprehensive audit trails for compliance and security monitoring
  • SOC 2 Compliance -- Platform controls and processes aligned with SOC 2 requirements

Learn more about users and roles

Programmatic Access​

REST API​

Full REST API covering all platform capabilities -- applications, workflows, AI models, add-ons, data sources, governance, experiments, and more. Authenticate with API keys and integrate Strongly.AI into existing CI/CD pipelines and automation workflows. Learn more

Python SDK​

Official Python SDK providing typed, high-level access to all platform APIs. Manage deployments, trigger workflows, query AI models, and interact with platform resources directly from Python scripts and notebooks. Learn more

Who Should Use This Documentation?​

Developers​

Build and deploy AI applications, create automated workflows, and integrate with AI models.

Data Scientists and ML Engineers​

Track experiments, manage model lifecycles, deploy models for inference, and implement MLOps best practices.

DevOps and Platform Engineers​

Manage infrastructure, configure monitoring, set up CI/CD integrations, and optimize platform performance.

Administrators and Compliance Officers​

Configure governance policies, manage users and roles, monitor costs, and maintain compliance.

Documentation Structure​

This documentation is organized into the following sections:

Getting Started -- Platform setup, first deployment walkthrough, and orientation.

Core Features -- Detailed documentation for each platform capability:

  • Applications -- Deploy and manage containerized apps
  • Add-ons -- Provision managed databases and services
  • Data Sources -- Connect to external data systems
  • Workflows -- Build automated AI pipelines
  • AI Gateway -- Manage AI models and providers
  • Marketplace -- Browse and deploy templates
  • MLOps -- Experiment tracking, model registry, A/B testing, drift detection
  • Governance -- Policies, compliance, and promotion workflows

Platform Management -- Administration and operations:

  • Platform -- Kubernetes, monitoring, logging
  • FinOps -- Cost tracking and budgets
  • Users -- Roles, teams, SSO, and MFA

Programmatic Access:

Support:

Use the sidebar navigation to explore topics, or use the search bar to find specific information.

Need Help?

Use STAN, the built-in AI assistant, for contextual guidance, or contact support@strongly.ai for direct assistance.