Racora delivers a unified platform that bundles the full open‑source radio access network stack—including protocol, intelligence, core, management, and deployment—into a single installable solution. Leveraging its native AI intelligence plane, the system continuously reads live network traffic, optimizes control parameters in real time, and enables zero‑touch, self‑orchestrating cell deployment without manual configuration. This approach aims to boost RAN efficiency by up to 30‑60% compared with traditional hand‑tuned deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Deploying and managing radio access network (RAN) infrastructure traditionally requires manual configuration of each component, leading to high operational complexity, long rollout times, and sub‑optimal resource utilization.
Solution
Racora offers a unified open‑source RAN platform that bundles protocol, intelligence, core, management, and deployment into a single installable solution. Its native intelligence plane—comprising the Central Unit Intelligence Plane (CU‑IP) and the Radio Access Neural Network (RA‑NN)—continuously learns from live traffic and writes optimized control directly into the protocol, enabling zero‑touch cell deployment. By automating configuration and optimization, Racora delivers 30–60 % efficiency gains compared with manually configured RANs. The platform also provides an AI Edge component that repurposes deployed RAN hardware for carrier‑grade connectivity and off‑peak edge compute for AI inference. All capabilities are delivered as a self‑integrating package that can be installed and operated without additional third‑party RIC or xApp layers.
Target Audience
Racora targets mobile network operators and telecom service providers seeking to reduce RAN deployment costs and operational overhead while leveraging AI‑driven optimization.
Features
- End‑to‑end open‑source RAN stack (protocol, core, management, deployment) packaged as a single installable solution
- CU‑IP (Central Unit Intelligence Plane) that embeds real‑time learning and automated control directly into the RAN protocol
- RA‑NN (Radio Access Neural Network) that analyzes live network traffic to drive zero‑touch cell provisioning and continuous optimization
- AI Edge platform that transforms each RA‑NN deployment into a dual‑purpose node for carrier connectivity and edge AI compute
- Self‑integrating cell deployment with a single click, eliminating manual configuration steps
- Built on the OCUDU framework, ensuring compatibility with existing open‑source RAN components