Cloudly Network AI
Cloudly is the AI Transformation Company
Unlock AI in your Network and Communication Infrastructure
The Great “Network AI” Problem
When we dig into the root cause behind Network operators and service providers’ inability to take advantage of their treasure trove of data, we find four key problems:
Human vs. Machine
Up to 60% of network planning and optimization engineer time is spent on manual data gathering and processing—time that AI could reclaim for faster, smarter operations
Tech Maturity
Either open-source or proprietary models, deploying production-grade AI solutions remains technically challenging and model performance remain low
High Investment
Building and maintaining in-house AI infrastructure or developing AI models is very expensive with rarely measurable positive ROI; and
Talent Scarcity
Even with the right tools and budget, very few in-house teams have the AI expertise needed to deploy and maintain models (they are not winning the AI talent war).
How We Solve It
Follow state of the art (SOTA) models, trained for you
We start with open-source models (e.g., Maveric or LLaMA) and build domain-specific, private models trained on your data
Your data, your model
We bring our models to you (not the other way around). You own those private models regardless of the trial outcomes (while we guarantee positive ROI);
Build for production
Our AI models are designed to be custom trained on NVIDIA GPUs and optimized for CUDA in your environment – public or private clouds or data centers; and
Deliver with people
We’re building an army of “Network AI” solution engineers, trained and equipped to help bridge your talent gap and support every step from ideation to production.
Customer Success Story
Collected config data, logs, and events from their Wi-Fi, RAN, and core networks
Cleansed and enriched the data for ingestion by Maveric models (RAN only)
We then used this custom data to train Maveric models and delved into their handover issues and coverage gaps and the model predicted those issues accurately on the RF-accurate digital twin.
Once the predictions were validated, several parameters were fine-tuned by our team and then were provided to the operator to improve their handover performance, capacity utilization, and energy consumption. This entire project required zero in-house AI expertise.
Our “Network AI” Stack
Layer 1: Collection
- Custom and open-source connectors for data collection
- Direct integration with any RAN, Wi-Fi, and core networks
- Support for Cisco, Ericsson, Nokia, Oracle and other vendor equipment data
Layer 2: Preparation
- Streaming + batch pipelines (Apache Beam, Flink)
- Data lakes: Iceberg, Delta Lake, or InfluxDB
- Pipelines for training, simulation and inference
Layer 3: Intelligence
- Custom-trained, Maveric-based private models
- Llama-based NetAgent for network debugging and troubleshooting
- CUDA-optimized deployment on NVIDIA-based GPU infrastructure
Your Journey to “Network AI” with Cloudly
| Layer | Challenge | How Cloudly Solves It? |
| Layer 1: Collection | Data exists, but is fragmented by each vendor and segment | Build data lakes to collect high-quality, large-volume of training data |
| Layer 2: Preparation | Building custom data pipelines and feature engineering for recurring per-site training | Develop custom pipelines and engineer features ready for training at the atomic network level (site, cell or location) |
| Layer 3: Intelligence | Training models, offline evaluation, online A/B testing and inference | Deliver custom-trained private models that help optimize your network to dramatically increase efficiency and thereby, reduce OPEX by 50% or more within six months |
Maveric
Maveric is the open-source, AI-native digital twin platform
Maveric, the open-source AI-Native RAN Optimization platform that helps telecom operators simulate, test, and optimize their RAN before making live changes. Platform delivers powerful capabilities including Mobility Robustness Optimization (MRO) to reduce link failures and handovers, Coverage and Capacity Optimization (CCO) to close gaps and ease congestion, ML-driven energy savings during off-peak hours, dynamic load balancing with RL-based tilt control, and realistic traffic load generation for simulation, planning, and model training.
Lets Partner towards your Network’s AI-driven Future
Take our AI Readiness Assessment
Find out where you’re today, how quickly we can begin the journey and how fast we can advance towards your network AI goals.
Talk to us or one of our early adopters
Learn more about how they realized positive ROI from their AI investment within six months.