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AI Agent Builder.

Design, deploy, and govern intelligent agents that act with context—not just intent, across your systems and workflows.

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AGENTS IN ACTION

Connect agents to real systems—not just conversations.

✓ Move beyond basic prompts to drive real outcomes at scale.

  • Integrated with your ERP, CRM, internal APIs, and databases for real-time interaction
  • Structured business logic execution with full control, validation, and enterprise-grade precision
  • Downstream action triggers such as emails, SMS, push messages, or external service calls
  • Built on modular, reusable flows that eliminate the need for manual scripting or glue code
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ANY LLM ANYWHERE

Choose the right model for every use case—without constraints.

✓ Mix, match, and manage LLMs with full control and flexibility.

  • Native integration with OpenAI, Bedrock, Gemini, Mistral, and local/on-prem models like Ollama
  • Granular control over model parameters including temperature, memory size, and token limits
  • Built-in support for predefined or auto-generated prompts to kickstart conversations
  • Agent-level model assignment and scaling for performance, compliance, and cost optimization
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TOOLS BY DESIGN

Turn workflows into structured tools—usable by any agent.

✓ Enable agents to interact with flows natively—no wrappers, no extra dev work.

  • Drag-and-drop interface to design saga flows that define agent behavior
  • Auto-exposed input/output schema for LLMs using existing JSON data models
  • Built-in support for agents to invoke or even generate custom code securely
  • Reusable logic components accessible across agents, flows, and microservices
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"We built Rierino at the intersection of AI orchestration, secure low-code development, and composable backend architecture—because that’s what modern enterprises truly need. Most platforms focus on one or two of these areas. Rierino brings all three together to help organizations scale AI responsibly."
BERKIN OZMEN
BERKIN OZMEN
Cofounder & CTO, Rierino

BUILT-IN BOUNDARIES

Give your agents the freedom to act—and the rules to act within.

✓ Equip agents with contextual real-time data, decision logic, and business constraints.

  • Rule engine integration to define what agents can and can’t do
  • Native support for domain-specific ML models to automate decisions
  • Access to real-time metrics and signals via complex event processing
  • Human-in-the-loop support for exception handling and gray-list scenarios
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ONE AGENT, EVERY CHANNEL

Deploy agents across channels—with continuity and control.

✓ Let users engage wherever they are without losing context or capability.

  • Persistent conversations across web, mobile, chat, and custom frontends
  • Headless agent APIs for seamless integration into any digital channel
  • Channel-aware behavior and adaptive agent responses
  • Outbound messaging via email, SMS, and push notifications
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GOVERNED BY DEFAULT

Every agent and action—secure, logged, and versioned.

✓ Build and scale AI agents within the boundaries of your enterprise policies.

  • Role-based access control (RBAC) and policy enforcement at platform level
  • Automatic versioning of all agent, tool, and flow configurations
  • Granular logging of agent activities, decisions, and tool invocations
  • Infrastructure-level control over deployment, access, and runtime behavior
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Boost your AI strategy with the latest expert insights.

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Bring AI-powered execution into your tech stack.
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