Now in private beta

Build rApps without writing code.

Describe what you want in plain engineering terms, or compose it visually on a canvas. RAN Flow turns your RAN logic into a running, auditable rApp. In days, not months.

See how it works
THE GAP

Two experts. One missing tool.

Building an rApp today needs radio knowledge and software skills at once, and neither expert has the right tool for the other's half.

The RAN Engineer

I know exactly what policy to push, but I can't write the code to do it.

Strengths

  • Understands KPM thresholds
  • Knows A1 policy parameters
  • Can design optimization logic

Friction

  • No Python/Go experience
  • Can't navigate SDK docs
  • Blocked by dev team backlog

RAN Flow

bridges the gap

The Software Engineer

I can build the pipeline, but I don't know what values to set.

Strengths

  • Can write production code
  • Understands API integration
  • Can deploy to Kubernetes

Friction

  • No telecom domain knowledge
  • Guesses at KPI thresholds
  • Weeks of back-and-forth with RAN team

Days, not months

Concept to deployable rApp.

No vendor dependency

You control rApp delivery.

Readable by design

Every rApp is an auditable graph.

Multi-vendor

SMO-portable rApp packaging.

Days, not months, to your first rApp

Concept to deployed rApp on your own SMO, with no software team in the loop.

HOW YOU BUILD

Start from intent. Or start from a canvas.

Two ways in, one result. Use whichever fits how you think, and RAN Flow meets you there.

01 · Describe itOn the roadmap

Say what the network should do

Write the outcome in plain engineering language and RAN Flow will draft the workflow for you to review. No syntax, no SDK.

# intent

"Shed load from congested cells

when PRB stays above 80% for 5 min."

# RAN Flow drafts

02 · Compose it

Build it block by block

Drag triggers, data readers, logic gates and actions onto a canvas. 22 node types across four categories, so you see the whole rApp at a glance.

# visual canvas

Either way, you get the same thing: a graph you can read, dry-run, and sign off on before it touches the network.

PREFER IT DONE WITH YOU

Have an rApp in mind? We'll embed with your team and ship it.

Bring a use case: a KPI target, an optimization idea, a legacy SON feature to modernize. Our Forward Deployed Engineers embed with your team, build it on RAN Flow, validate it against your data, and deploy it on your SMO. You keep it: a readable graph your engineers can edit, with no lock-in.

  1. 01

    You bring the use case

    A KPI goal or optimization idea in plain engineering terms. No spec, no code.

  2. 02

    We build and dry-run with you

    We compose the rApp on RAN Flow, validate against your data, and walk it through your change process.

  3. 03

    You own the rApp

    It ships on your SMO as an editable graph, and becomes a template your team reuses on its own.

Built on the same platform you'd use yourself, so every engagement leaves you more self-sufficient, not less.

WHY OPERATORS TRUST IT

AI you can put in front of a change board.

On a live national network, nobody approves code they can't read. RAN Flow keeps every rApp inspectable, testable, and under human control.

Readable, not a black box

Every rApp is a graph you can open and audit, never generated code you have to trust blind.

Dry-run before production

Validate logic against mock RAN data and a 12-rule checker. Catch misconfigurations before they ship.

A human approves every deploy

You review the workflow, change it, and decide when it goes live. Nothing reaches the RAN on its own.

Guard rails on every action

A1 policy actions ship with built-in bounds. PRB targets stay inside 5–95%, so an rApp can never black out a cell.

CAPABILITIES

Everything you need to ship rApps faster.

Visual Canvas Editor

Drag-and-drop workflow builder with 22 node types across 4 categories. See your rApp logic at a glance.

Intent-Based BuildOn the roadmap

Turn a plain-language goal into a draft workflow, ready to review and refine.

Model TrainingOn the roadmap

Train forecasting models on your own KPI history and version them in the platform, so every rApp calls the same one.

A1 Policy Automation

Push SLA and load-balancing policies to the Near-RT RIC via the A1 interface. Guard rails built in.

KPI Prediction

Forecast a KPI 15 minutes to 6 hours ahead with LSTM, ARIMA, or your own ONNX model, then branch on what the forecast says before the degradation lands.

Real-Time KPM Monitoring

Connect to live metrics like throughput, PRB usage and latency, then trigger actions when thresholds are crossed.

Condition Logic & Branching

If/else branching with true and false output paths. Build complex decision trees without code.

One-Click Deploy

Deploy workflows as persistent background rApps. Full lifecycle management: start, pause, stop.

Dry Run & Validation

Test workflows against mock RAN data before touching production. A 12-rule validator catches misconfigurations early.

Export to Python

Every workflow compiles to a standalone Python script you can read, diff, and run outside the platform.

INDEPENDENT BY DESIGN

Owned by no vendor. Portable across all of them.

Your rApps aren't tied to one vendor's stack or one operator's platform. Every RAN call goes through a connector layer, so the same workflow moves between SMOs. When you add or switch one, your logic comes with you.

  • Ericsson EIAP
  • O-RAN SC
  • +Nokia MantaRayPlanned
  • +your next SMOPlanned
COMPARISON

A better way to build rApps.

A better way to build rApps.
FEATURETHE PLATFORMRAN FlowLEGACY APPROACH“Write the rApp yourself.”
Time to first rAppDays, not monthsWeeks to months
Required skillsRAN domain knowledge onlyPython, K8s, SDK
ValidationAutomated, 12-rule validatorManual, trial and error
AuditabilityReadable graph, alwaysOpaque generated code
Multi-vendorEIAP and O-RAN SC, portable by designVendor-locked
MaintenanceUpdate once, deploy anywhereRe-code per platform
Dry run and testingFull dry-run before deploy

CAPABILITIES AS SHIPPED TODAY

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