rierino

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1. 9/14/2026

   Updated: best for, features, integrations, platforms, summary, switching, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Developers, solution architects, data scientists, marketing, product, operations, and leadership teams needing to build and deploy AI agents, APIs, and composable commerce systems with developer control and modular integration."]

   After: ["Developers and solution architects building high-performance backends, APIs, and AI agents with full control and modular composable systems."]

   features

   Before: ["Native enterprise-grade AI agent execution embedded in the low-code stack for real-time automation across workflows and APIs.","High-performance backend orchestration enabling microservices, low-latency APIs, and event-driven flows for mission-critical and high-volume systems.","Composable commerce platform supporting B2C, B2B, and marketplace models with built-in product information management, content management, personalization, and workflow orchestration.","AI Agent Builder with visual design, testing, and deployment of enterprise-grade AI agents within a governed low-code environment.","Built-in AI co-pilot assistant (RAI) for developers to assist with shipping code and governance."]

   After: ["Native enterprise-grade AI agent execution embedded in the low-code stack for real-time intelligent automation.","High-performance backend orchestration for microservices, low-latency APIs, and event-driven flows suitable for mission-critical applications.","Composable commerce platform supporting B2C, B2B, and marketplace models with built-in PIM, CMS, personalization, and workflow orchestration.","AI Agent Builder with visual design, testing, and instant deployment of enterprise-grade AI agents.","Built-in AI co-pilot assistant (RAI) for developers to assist with governance and development."]

   integrations

   Before: ["Supports integration with various large language models including OpenAI, Anthropic, AWS Bedrock, and local models via flexible APIs."]

   After: []

   platforms

   Before: ["Deployable on public cloud, private cloud, or on-premises infrastructure according to user choice."]

   After: []

   summary

   Before: "Building AI agents and copilots, automating workflows, and orchestrating microservices for intelligent backends, internal applications, and APIs. Native enterprise-grade AI agent execution embedded in the low-code stack for real-time automation across workflows and APIs. High-performance backend orchestration enabling microservices, low-latency APIs, and event-driven flows for mission-critical and high-volume systems."

   After: "Rierino is an enterprise low-code platform designed for building AI agents, microservices, and composable commerce systems. It integrates AI agents natively for real-time automation, supports backend orchestration, and enables composable commerce with built-in PIM, CMS, and personalization."

   switching

   Before: ["Rierino is positioned as a modern alternative to OutSystems and Mendix for agentic backends."]

   After: []

   useCases

   Before: ["Building AI agents and copilots, automating workflows, and orchestrating microservices for intelligent backends, internal applications, and APIs.","Running B2C, B2B, and marketplace commerce with composable commerce capabilities including product information management and order orchestration.","Automating catalog enrichment, multi-market pricing, and order lifecycle management for cross-border marketplace integrators."]

   After: ["Building AI agents and copilots, automating workflows, and orchestrating microservices for intelligent backends and internal applications.","Running B2C, B2B, and marketplace commerce with composable commerce capabilities including product information management and order orchestration.","Automating catalog enrichment, multi-market pricing, and order lifecycle management for cross-border marketplaces.","Supporting multi-marketplace, multi-country commerce operations with unified orchestration and automation."]

   walkthrough

   Before: []

   After: ["Design AI agents visually, test them, and deploy instantly within the platform.","Use the built-in AI co-pilot assistant to help developers ship code with governance baked in.","Plug in any large language model via flexible APIs to extend AI capabilities."]