AI agents and workflow automation for organizations
Build and run AI agents and workflows with Radon Studio. Connect internal systems through a customer-side connector, choose your model endpoint and deploy in your environment. Bring role-based AI into everyday work with Radon Mini.
A customer asks a question. Radon reads the answer from an internal system, an agent prepares the reply and a follow-up lands in the CRM. Every step stays visible in Studio.
A customer asks a product question and asks for a follow-up.
Interactive walkthrough of the support-request scenario. Interfaces are simplified for illustration; the demo shows the release itself.
See it with your own systems. Bring one process and we’ll show how Radon builds, connects and runs it.
Request a demoRadon brings three things together: access to internal systems, one path from canvas to running service, and open choices for models and infrastructure.
Connect workflows to internal services through an encrypted, customer-side tunnel. Agents work with the systems where your operational data already lives.
Design, test, publish and trace work in one environment, then keep inspecting it after it goes live.
Match local or compatible model endpoints, and the place your workflows run, to cost, quality and data policy.
Extend Flow Blocks, import or export projects and add custom Python nodes as needs grow, instead of rebuilding each integration.
Teams build and run agents and workflows in Studio. Employees use personal and role-based agents in Mini.
Use a visual canvas and AI assistance to design agents and workflows. Connect data and tools, test each step, publish the flow and inspect its execution.
Bring personal and role-based agents into everyday work, with the files and tools your organization makes available.
The same flow moves through four stages without leaving Studio, and stays inspectable after it is published.
Lay out the flow on a visual canvas, or describe what you need and review the plan the AI assistant proposes before it is applied.
Attach data, tools and internal systems, and choose the model endpoint each agent uses. Private services are reached through the customer-side connector.
Run each step on its own, read its output and fix what fails before anyone depends on it.
Publish an entry point, keep development and production apart, follow every execution and return to an earlier version when you need to.
Three recognizable jobs, each with a clear input and a result you can check.
A customer question arrives in web chat.
An answer for the customer and a follow-up the team can act on.
A form submission or a system event.
An updated record and an owner who knows what changed.
Files an employee shares with a role-based agent.
A summary and a task with an owner and a date.
Also suited to employee assistants, document processing, reporting, system synchronization and knowledge-based support.
Combine private services, APIs, databases, files, models and approved tools in one connected workflow.
Swipe to explore the full scene
Internal APIs and databases behind your firewall, reached through Radon Private Network.
Call REST services, receive webhooks and start flows from events.
Databases, file storage and documents, with retrieval through vector search.
Local model endpoints or compatible providers, chosen for each agent.
Give agents approved tools through the Model Context Protocol, an open standard for connecting AI to tools.
Web chat, Telegram, forms, webhooks and scheduled tasks, delivered through APIs and MCP.
Three separate decisions shape your data path: where workflows run, which model endpoint receives requests and which systems supply the data. Try them.
Studio runs the workflow with its own runtime. Each model request goes to your local endpoint, so inference happens on infrastructure you operate.
Swipe the scene to see all of it
Local hosting alone does not prevent data from leaving the organization. Align your runtime, model endpoint and data path.
Studio runs independently. Self-hosted is optional. Gateway is not required.
Studio organizes teams and projects with organizational sign-in. Self-hosted adds operational roles and audit logs. Control Center, for centralized operator administration, is in preparation.
Execution history, recovery, deployment and reuse are part of Studio, so a published flow stays something you can inspect and change.
Every execution keeps each step’s input, output and state. When a run is interrupted, you see where it stopped and resume the stateful work from that step instead of starting over.
Work in development, publish to production and keep a record of each deployment. If a change misbehaves, return to an earlier version.
Package steps as a Flow Block and drop it into other flows. Move projects between environments with import and export, and write a custom Python node when a block does not exist yet.
Something else on your mind? Add it to your demo request and we’ll cover it.
With one real process that repeats, touches a few systems and has a result you can check. In the demo we use your systems, model requirements and data path to show how Radon would build, connect and run it.
Radon Private Network places a customer-side connector inside your network and links it to your workflows through an encrypted tunnel. Flows can then call internal APIs and databases where your operational data already lives.
A local model endpoint for internal inference, or compatible external providers, chosen to fit cost, quality and data policy. An external provider receives the data included in each model request. Radon Gateway, a separate optional product, adds model routing, API keys, budgets and usage reporting.
Yes. You can host workflows and project resources in your environment, with databases and file storage kept separate by project. Radon Self-hosted is an optional organizational runtime for imported Studio projects, with roles, access controls and audit logs.
Studio is where teams design, connect, test, publish and inspect agents and workflows. Mini is a workspace where employees use personal and role-based agents with the files and tools the organization makes available.
No. Studio includes its own runtime and runs independently. Self-hosted and Gateway are optional products you add when your operating model calls for them.
Yes. Add custom Python nodes, package reusable Flow Blocks, import and export projects, and connect services through APIs and MCP.
Tell us which systems, data and model requirements matter. See how Radon can build, connect and run a workflow around them.
Your request has been received. Our team will contact you to arrange a relevant Radon demonstration.