AI at the Heart of Your Enterprise
AI is the heartbeat of the modern enterprise. It should be woven into the fabric of your business, connecting your applications, processes, and people. We help you build AI applications and accelerate your development teams.
Our open source, scalable, and secure approach works with your existing technology stack to make your applications AI-native and your teams AI-powered.
Talk to an Expert
Code for AI
Build enterprise-grade AI applications
Build, deploy, secure and scale AI-native applications that fit seamlessly into your software architecture. From simply integrating LLM calls to building autonomous agents, WSO2 products have you covered.
Build and integrate GenAI models and RAGs
Build AI agents and applications that integrate anything, from existing systems to AI models to knowledge bases.
Use pro-code or our low-code visual builder without hitting roadblocks no matter the complexity of your project.
Choose your preferred models, providers, and knowledge base technologies without being locked in.
Integration for AICreate, publish,and secure tools with MCP
Expose your APIs as tools for AI agents using the Model Context Protocol (MCP) and publish MCP servers in the MCP Hub, enabling effortless discovery and interaction within agent workflows.
API Management for AIJust like for APIs, Manage access to MCP servers by registering them as secured resources, defining permissions, and applying access controls such as RBAC.
IAM for AI
Deploy and scale
Deploy and scale GenAI apps, AI agents, MCP servers, and vector databases in the tech of your choosing - whether you built it with your products or using your favorite framework
IDP for AI
Assign identity, authenticate and authorize agents
AI agents are increasingly embedded in business operations, handling automation, data analysis, and decision-making. As their capabilities expand, securing their access to critical systems and data is crucial.
As AI agents gain more autonomy, they require a new class of identity that provides them with distinct credentials, roles, and permissions.
AI agents often act on behalf of human users, requiring them to inherit permissions and roles through strict delegation policies and consent.
IAM for AI
Govern and guardrail GenAI interactions
Use a unified interface to integrate and manage generative AI APIs across multiple providers.
Implement AI-aware quality of service (QoS) controls to ensure efficient, reliable, and scalable AI service delivery to application developers.
Place guardrails and policies around all your generative AI interactions.
APIM for AI
Interleave natural language in code
Interleave natural language and programming language with natural functions. Natural functions contain blocks of natural language instructions that are executed at runtime with the help of a generative AI model.
Read the blog
AI for code
Power the software development lifecycle
Build faster and operate faster through AI features integrated into every stage of development - from writing and testing code to deploying and monitoring it. Speed up releases, cut down manual work, and catch problems before they reach production.
Vibe code WSO2
Natural language interfaces, code suggestions, automated refactoring, and more are at your fingertips in VSCode, helping you get productive fast with WSO2 products.
Build your integration by describing it in natural language, and AI will generate it for you.
Perform complex data mapping with AI, identifying relationships and mapping data across different structures.
Eliminate the tedious process of manual test creation.
Interact with our products using MCP
Our products expose their core functionality as MCP servers so you can interact in natural language from your preferred development environment and build agents around their capabilities.
Accelerate using AI embedded in product consoles
Across our products, natural language interfaces and embedded AI acceleration are available within the product consoles where you need them.
For example, generate fully functional login flows, test and design APIs with best practices and governance, understand your deployment, and automate complex data mappings.
AI expert agents and insights in the platform
Leverage AI expert agents and insights in the platform
Embedded throughout, continuously monitoring the platform, optimizing resource utilization and reducing costs.
Analyzing system architecture, identifying inefficiencies, recommending optimizations, and ensuring scalability, security, and performance.
Enforcing governance, ensuring compliance with standards and best practices.
Providing guidance on how to prioritize features based on user feedback and market trends.
Fits with your stack; plugs into the AI ecosystem
Your enterprise doesn’t need another silo—AI should beat in sync with what you already have. WSO2’s approach is open, comprehensive, and flexible, running on-premises or in the cloud, effortlessly integrating your stack and the AI ecosystem.
