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Disruptive Network Transformation at Software Speed and Scale
Opanga is the global leading innovator of Machine Learning (ML) technology deployed in its Optimization and Data Science Applications across all network types and sizes. Our ML Applications enable more efficient network CAPEX/OPEX investments, a Smaller Carbon Footprint, Deeper Network Insights and Improved Consumer Experience (CX). Installed in the network core or cloud, these solutions have been selected and deployed by the largest network providers worldwide.
Market Leading Consumer Experience
Think differently – Leverage software to consistently deliver the best consumer experience in your market with Opanga’s RAN Aware Multi-Protocol Optimization Application.
Reduce Energy Consumption and OPEX
Think differently – Today, all spectrum is energized 24×7. Use software to massively reduce energy consumption with Opanga’s Spectrum-On-Demand Application.
Data Science Powered ML Platform
Think differently – RANStats empowers operators to create and deploy powerful Machine Learning data models to improve RAN performance and economics.
Opanga’s VPP based Apps for mobile networks are highly scalable and can be rapidly deployed in the mobile core, virtual, or cloud environments. Our RAN Aware Multi-Protocol Optimization, RANStats, and Spectrum-On-Demand Applications massively increase network speed, CX visibility, and reduce energy consumption.
Opanga’s Machine Learning based optimization solutions are not only for improving last mile mobile network performance. Operators are also deploying our Apps to improve their transport network efficiency; delivering much faster speeds while reducing their interconnect bandwidth and associated network peering costs. Faster consumer speeds with a lower cost transport network.
Enterprise IT network cost structure is critical to overall business profitability and doing more with less is of vital strategic importance to technology dependent corporations. Opanga provides its core Machine Learning technology as a licensable library for integration into core IT network elements enabling faster speeds to users at the lowest possible IT cost structure.
Opanga’s Machine Learning based optimization solutions are not only for improving last mile mobile network performance. Operators are also deploying our Apps to improve their transport network efficiency; delivering much faster speeds while reducing their interconnect bandwidth and associated network peering costs. Faster consumer speeds with a lower cost transport network.
Opanga’s VPP based Apps for mobile networks are highly scalable and can be rapidly deployed in the mobile core, virtual, or cloud environments. Our RAN Aware Multi-Protocol Optimization, RANStats, and Spectrum-On-Demand Applications massively increase network speed, CX visibility, and reduce energy consumption.
Enterprise IT network cost structure is critical to overall business profitability and doing more with less is of vital strategic importance to technology dependent corporations. Opanga provides its core Machine Learning technology as a licensable library for integration into core IT network elements enabling faster speeds to users at the lowest possible IT cost structure.
Opanga’s VPP based Apps for mobile networks are highly scalable and can be rapidly deployed in the mobile core, virtual, or cloud environments. Our RAN Aware Multi-Protocol Optimization, RANStats, and Spectrum-On-Demand Applications massively increase network speed, CX visibility, and reduce energy consumption.
Opanga’s FWA Optimization App maximizes network performance powering service providers to aggressively compete with broadband speeds that outpace incumbent cable/DSL networks. When network performance is increased, more households can share the spectrum provided by each FWA tower, boosting revenue potential via increased market penetration opportunity.
Opanga’s Machine Learning based optimization solutions are not only for improving last mile mobile network performance. Operators are also deploying our Apps to improve their transport network efficiency; delivering much faster speeds while reducing their interconnect bandwidth and associated network peering costs. Faster consumer speeds with a lower cost transport network.
Enterprise IT network cost structure is critical to overall business profitability and doing more with less is of vital strategic importance to technology dependent corporations. Opanga provides its core Machine Learning technology as a licensable library for integration into core IT network elements enabling faster speeds to users at the lowest possible IT cost structure.
Mobile broadband consumers care about how their apps perform today. They want apps like YouTube, Tik Tok, Maps, Twitter to work really well, all the time. Today’s apps work best when data rates are between 3 and 10Mbps. Consumers don’t care if a network delivers 100Mbps because it’s irrelevant to them. Opanga’s RAN Aware Multi-Protocol Optimization Application empowers service providers to deliver the absolute best possible experience to consumers in today’s competitive marketplace.
DSS is a technology that enables ubiquitous 5G coverage on existing 4G spectrum. However, DSS significantly degrades Consumer Experience for both 4G and 5G customers. Opanga’s RAN Aware Multi-Protocol Optimization Application completely neutralizes the adverse performance impacts of DSS so that service providers get great 5G coverage without the pain of poor network performance.
Operators face the reality that their 3.5GHz MIMO antennas (required for coverage) consume the same amount of power as their 2G/3G/4G cells combined, effectively doubling the power required to operate their network. Opanga’s Spectrum-On-Demand Application – cloud ML based intelligent radio control – is deployed to autonomously energize spectrum only when CX levels demand it. When spectrum is controlled on demand electrical costs per site plummet.
The RAN is closed and proprietary presenting a substantial ongoing challenge for mobile operators. It’s ripe for disruption because the RAN dictates network CAPEX / OPEX and mobile Consumer Experience. This is the impetus behind the ORAN initiative – break open the RAN, drive down hardware costs, enable software innovation and overhaul RAN KPIs and performance. All of Opanga’s ML Applications for RAN Optimization and Analytics are available as a library for integration with the Near RT-RIC and xAPPs.
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Networks are evolving faster today than ever before. Data traffic is no longer only TCP. Today, as much as 50% of network data volume is now QUIC. UDP is no longer a nuisance protocol but carries high value traffic such as real-time streaming, video conferencing, and mobile gaming. TCP was designed as a fair share protocol, but QUIC and UDP don’t fair share. Today’s modern networks require software intelligence to maximize performance in a multi-protocol environment.
Opanga’s Peregrine application is a RAN Aware Multi-Protocol Optimization Technology that ensures highest possible consumer experience at the lowest possible network cost – deployed at software speed and scale.
Today’s RAN analytics / data lake products fall into one of two categories
· Data is heavily averaged, leading to low data samples and is not sufficient to train ML data models (RAN KPIs)
· Too many data points that cause complexity and are too cumbersome to implement ML (traditional CX tools)
Opanga’s RANStats data lake and Merlin ML framework place the power of Machine Learning Innovation in an operator’s hands enabling them to build their own portfolio of network performance enhancing apps
Joule ML is a portfolio of TensorFlow based ML applications that enable operators to monitor and dynamically control spectral resources to contain Energy Consumption. An Urban Cell Site with multiple spectrum bands consumes over 100,000 kWh of Energy per year, Joule ML reduces this consumption by 30%.
Networks are more complex than ever before and Opanga’s Peregrine is a multi-protocol optimization that manages TCP, QUIC, and UDP data sessions in 4G and 5G networks.
Over the years every industry has been revolutionized by deep data analytics. It’s time for the mobile industry joins the revolution with real time consumer experience analytics. Just say no to RAN KPIs!
Stop paying peering overages by capping data traffic while at the same time maintaining best in class customer experience. Swift automatically detects when traffic has reached target maximum throughput and optimizes data delivery so there is no negative impact to your customers – save millions every month!
Using Falcon quickly visualize what applications and protocols are consuming your network. Using commercial applications like Tableau and Grafana map real-time customer experience regions, time, applications, and Internet domains – Get a grip on your network.
Enhance user experience and support many devices performing essential business tasks.
Deliver a more efficient network even as large load data files continue to grow.
A single 4K stream to a TV places the same burden on the network as 10 smartphones streaming 1080p YouTube. Customers demand high quality video streaming in homes, so throttling is out, use Condor to deliver 4K video while protecting all other FWA and Mobile subscribers.
Do you know how much traffic in your network is YouTube, Facebook, Instagram, or Netflix? Do you want to know? Deploy Kestrel to fully understand how your network is being used and, in some cases, abused.