Rierino

What Rierino is

Rierino is an enterprise low-code platform for building AI agents, backend orchestration and composable commerce systems. Its home page headline reads "Low-Code for AI Agents, Backends, and Commerce", and it says you can do all of that on one platform with automation, data and ML built in. The company describes it as a visual development environment combined with a high-performance microservices architecture, multi-LLM support and built-in MLOps. The reader it is written for is an enterprise development or architecture team shipping production systems, not a business user building a quick form. The pages do not say where the company is based.

What you build and how

The company calls Rierino "execution-first" and "backend-first". Its comparison with OutSystems sets the two out as application-first (OutSystems, with its Service Studio visual IDE for full-stack web and mobile apps) against Rierino, where "APIs, microservices, and agent orchestration" are the primary surfaces. So the thing you build is mostly what runs behind a screen.

APIs and microservices. The home page lists API and microservice development as a main use case, and the comparison page names auto-generated microservices, decision automation and an API-first, microservices-native design. Backend orchestration is described as the coordination of microservices, APIs, event-driven flows and business logic across distributed systems, configured with low code. The protocols the company lists are REST, GraphQL, OData, SOAP, WebSocket, Kafka and CDC (change data capture). The data model is described as schema-agnostic, and the open architecture includes a Java-based SDK. That combination is what the company says reduces lock-in compared with platforms that have a proprietary runtime or a fixed application object model.

AI agents and copilots. The AI Agent Builder is described as native to the platform and "not as a bolt-on". You design, test and deploy agents with a visual builder, and the page says this can take minutes. Agents are first-class components, so any API or workflow you have built can become a tool the agent calls. The company says teams can design, test, deploy and govern agents in one place. Model choice is open: the pages name OpenAI, Anthropic, Bedrock, Gemini, Mistral and local models, reached through flexible APIs, and say you can swap LLMs as your needs change. A built-in assistant called RAI is described as an AI co-pilot for developers that helps them ship with governance baked in. For a reader browsing chatbot builders, this is the agent side of the product: it is aimed at agents wired into backend logic, and the pages do not describe a drag-and-drop chat widget or a consumer-facing chat designer.

Automation and internal applications. Workflow automation and internal applications are both listed as use cases, next to AI agents and copilots. The company's guide to low-code types separates six kinds of platform (UI builders, application platforms, backend-as-a-service, workflow automation, integration and middleware, and execution-first platforms) and Rierino calls itself execution-first. The guide says execution-first platforms are generally the strongest fit for long-running orchestration, reusable business logic and service coordination across systems.

Commerce and business modules. On the same core the company offers Rierino Commerce, Rierino PIM (product information), Rierino CMS, Rierino BPM and Rierino Personalize. The pitch is composable commerce, PIM and CMS on a single core, rather than separate products stitched together. A BPM module also means process work has a home here, though the company compares itself with Appian as a composable platform against process-centric BPM.

Deployment. The comparison page says Rierino runs in the cloud, in a hybrid setup or on-premises, and lists Docker and bare metal on Windows, Linux, Unix and macOS. The site has Integrations and Find a Partner pages, and a professional services team that works on migration planning, scoping and execution.

How the company frames the choice. Its guide says the term low-code platform once suggested a unified category of fast app builders, and that the category has fragmented into UI design tools, backend-as-a-service, real-time orchestration engines and agentic platforms. It answers the question "Are low-code platforms only for citizen developers?" with no: many are built for professional developers, architects and hybrid delivery teams, and can support APIs, backend services, integrations, automation and sometimes event-driven or AI-enabled execution. On AI it makes a distinction worth knowing when you compare vendors. Many platforms offer AI-assisted development or basic agent features inside apps and workflows, while fewer are designed for governed agent execution across systems with context handling, fallback logic and long-running coordination. The comparison page adds that OutSystems delivers agents through its Agent Workbench inside OutSystems applications, whereas Rierino treats agents as platform components in their own right. Read those as the company's positioning, not an independent test.

What the pages say about plans, scale and trust

The pages publish no price list. The one concrete offer is the Community Edition, a new release the home page calls "a free, full-featured version of Rierino Core available through AWS Marketplace". It runs in your own AWS account with unlimited users and a persistent runtime, and the company says it is built for real building, not just evaluation, so you can ship agents, integrations, APIs and backend workflows from day one. Anything beyond that starts with Contact Us or a demo.

The home page quotes four figures of scale. They are claims of the company, each with its own context: 500,000+ hourly transactions processed for a government agency, 99.99% uptime in mission-critical ecommerce deployments, 20,000+ concurrent users on an internal workflow app, and 2.5 M+ customers onboarded in a month at platform launch. These figures name no customer, and the pages state no security certification or compliance standard.

Who it suits and who it does not

Rierino suits an enterprise team that needs to put AI agents on top of real APIs and services, or that builds a commerce stack from PIM, CMS and order logic and wants the pieces on one core. A platform team that wants a Java-based SDK, open protocols and the freedom to change model vendor will find the company's stated design matches those priorities. The free Community Edition on AWS gives such a team a way to try the platform in its own cloud account before talking to sales.

It is a poor fit for someone who wants a drag-and-drop interface for a customer portal, a form or a simple internal tool. The company says outright that traditional platforms such as OutSystems and Mendix focus on user-facing business applications and that Rierino is aimed at backend work. It also asks for developer skill: the home page speaks of full developer control alongside low-code speed. A small team with one MVP and no architect will find more approachable tools elsewhere, and a buyer who needs published pricing will have to start a conversation first.