What makes Rierino different from standard AI chatbots?

Unlike Q&A bots, Rierino's agents are 'execution-first.' They are integrated into the backend, allowing them to perform actions like updating inventory, processing orders, and calling enterprise APIs rather than just providing text responses.

Does Rierino support 'Bring Your Own Model' (BYOM)?

Yes. Rierino is model-agnostic and allows you to integrate private or public ML models (TensorFlow, PMML, etc.) and LLMs from various providers via REST APIs.

Is Rierino suitable for developers or business users?

Both. It offers a low-code UI for business teams to manage workflows and content, while providing a robust, developer-first environment with documentation, testing tools, and API-first architecture.

How does Rierino handle agent-to-agent communication?

Rierino supports the A2A (Agent-to-Agent) protocol and MCP, enabling different specialized agents to delegate tasks to one another and share tools within a decoupled ecosystem.

Can I deploy Rierino on my own cloud infrastructure?

Yes, Rierino is available as a secure deployment on cloud environments and can be found on the AWS Marketplace.

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Agents

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Rierino

Execution-first AI agents and low-code orchestration for enterprise workflows, composable commerce, and automated backend systems with built-in governance and multi-model support.

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Rating

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3 months ago

Listed

Agents

Enterprise

Low-code

Workflow Automation

Composable Commerce

Microservices

AI Agent Builder

Business Intelligence

Tool information

Provider

Rierino Software Inc.

Platforms

Web

AWS Marketplace

Languages

English

Turkish

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

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About Rierino

What the tool does and who it's for

Rierino is an execution-first low-code platform designed for orchestrating enterprise AI agents, microservices, and complex digital workflows. It enables businesses to build and deploy 'agentic' systems that go beyond simple chat by directly interacting with internal data, APIs, and legacy systems. The platform features a composable architecture specifically optimized for B2B/B2C commerce, marketplaces, and internal tool automation. With its built-in AI Agent Builder and support for Model Context Protocol (MCP), Rierino allows technical and non-technical teams to create governed, multi-step AI operations that can retrieve information, make decisions, and execute actions in real-time.

Key capabilities

AI Agent Builder: Create autonomous agents that can call enterprise APIs and execute backend tasks.

Composable Commerce: Specialized modules for PIM, marketplaces, and multi-vendor ecosystems.

Low-Code Core: Drag-and-drop interface for developing microservices and API flows without manual coding.

Model Agnostic: Centrally govern and swap between different LLM providers like OpenAI or Anthropic.

A2A & MCP Support: Enable agent-to-agent collaboration and integration with Model Context Protocol standards.

Real-Time ML Scoring: In-transaction model inference for dynamic pricing, fraud detection, and personalization.

Native Execution: AI is embedded directly into the stack rather than acting as a separate bolt-on tool.

Enterprise Governance: Built-in RBAC, audit logs, and version control for all AI-driven workflows.

Pricing

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Enterprise

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