Rierino LogoMenu

AI Agent Builder.

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

REQUEST A DEMO →
Rierino Hero

EXECUTION-FIRST ARCHITECTURE

Build logic once & run across LLMs, APIs, and IoT.

  • LLM & PROTOCOL-AGNOSTIC

    LLM & PROTOCOL-AGNOSTIC

    Use any LLM provider or custom model and empower them using MCP, A2A or WoT

  • WELL-GOVERNED BY DESIGN

    WELL-GOVERNED BY DESIGN

    Enforce your existing security infrastructure, access control and policies to agent execution

  • DIGITAL & PHYSICAL WORLDS

    DIGITAL & PHYSICAL WORLDS

    Go beyond traditional AI use cases with IoT devices or physical robots with simple config

  • REUSABLE ACROSS USE CASES

    REUSABLE ACROSS USE CASES

    Use the same logic for AI prompts, APIs, tools, and automations—without duplicating flows

Block

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
Block

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
Block

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
Block
"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
Block

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
Block

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
Block

RELATED RESOURCES

Boost your AI strategy with the latest expert insights.

BUILDING ‘EMPOWERED’ AI AGENTS

BUILDING ‘EMPOWERED’ AI AGENTS

Discover how Rierino powers AI agents with real system access and governed execution through a step-by-step enterprise use case.

Explore Our Enterprise Guide →
DESIGNING FOR AI AGENTS

DESIGNING FOR AI AGENTS

Explore how enterprise software teams can adapt their UX, backend, and logic to support AI agents as users—not just humans.

Discover Our AI-Centric Playbook →
INTRODUCING AI AGENT BUILDER

INTRODUCING AI AGENT BUILDER

Learn more about the launch of Rierino’s AI Agent Builder and how it is designed for enterprise execution and scale.

Read the Full Press Release →

FAQs

Your top questions, answered. Need more details?
Our team is always here to help.

Talk to an Expert →

What is Rierino AI Agent Builder and how does it differ from agent frameworks?

+

Can I connect AI Agent Builder to different LLM providers or use internal models?

+

How are security and access controls applied to AI agents in Rierino?

+

Can AI agents built in Rierino interact with physical devices or IoT systems?

+

Do I need to build separate agents for each use case or interface?

+

How are agent workflows managed and orchestrated within the platform?

+
Bring AI-powered execution into your tech stack.
SCHEDULE A DEMO