Cloudly Network AI
Cloudly is the AI Transformation Company
Unlock AI in your Network and Communication Infrastructure
The network and telecom industry has rich structured and standardized data—but those data remain under-leveraged for unleashing the power of predictive or generative AI. Cloudly is building the stack, assembling the people, and forging the partnerships with AI industry leaders to bring modern, open-source AI to network operators who want to move faster, operate smarter, and build the next-gen intelligent infrastructure.
Unlock AI in your Network and Communication Infrastructure
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 [²];
- 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
Cloudly has developed an AI solution-oriented, value pyramid-based model, where we:
- 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[¹];
- 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
A regional telecom operator came to us with siloed telemetry across multiple vendor platforms. We built a unified data lake and developed pipelines that:
- 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
Our Network AI stack is built on open-source at the core:
- 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 |
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.