Rierino

Rierino is an enterprise low-code platform for building AI agents, orchestrating backends and running composable commerce in one stack. It offers a visual agent builder with multi-LLM support, microservice and API tooling, plus built-in PIM, CMS and MLOps, deployable on cloud or on-premises.

Rierino is an enterprise low-code platform that treats AI agents as a first-class building block rather than an add-on. Teams design, test and deploy agents inside the same stack used to model APIs, workflows and commerce logic, so an agent can call a microservice or trigger an order flow without a separate orchestration layer. The company positions the product as a modern alternative to established low-code suites such as OutSystems and Mendix, aimed at agentic backends rather than plain form apps. The platform splits into three surfaces. Rierino Agent covers visual agent building, copilots and multi-LLM support, letting teams plug in OpenAI, Anthropic, Bedrock or local models through flexible APIs. Rierino Core handles backend orchestration: microservices, low-latency APIs and event-driven flows built through configuration, with versioning, end-to-end testing and an AI coding assistant called RAI. A commerce module adds PIM, CMS, personalization and order orchestration for B2C, B2B and marketplace models. Deployment can run on public cloud, private cloud or on-premises, and connectors reach databases, files and external applications by configuration. In practice, a developer defines queries, rules and agent behaviour in the visual builder, then promotes the result through testing and versioning to a runtime that has authentication and authorization attached. Architects get granular control over how services and agents talk to each other, while data scientists can bring their own ML models and monitor inference alongside agent activity. Marketing and product teams work in the same environment through the CMS and PIM surfaces, which explains the pitch toward unifying IT and business functions on one platform. The reference stories lean large: a government agency processing over 500,000 hourly transactions, an ecommerce deployment claiming 99.99 percent uptime, and an internal workflow app with 20,000-plus concurrent users. That suggests the target buyer is a mid-size or large organisation with real infrastructure, not a solo builder. Teams wanting a lightweight agent toy will find the surface area heavy; teams wrestling with separate tools for agents, APIs and commerce have a genuine consolidation argument here.