Smart Connectivity - A Telecom service orchestration platform
page-template,page-template-full_width,page-template-full_width-php,page,page-id-28579,page-child,parent-pageid-19798,bridge-core-1.0.4,mega-menu-top-navigation,ajax_fade,page_not_loaded,,qode-title-hidden,qode_grid_1400,qode-content-sidebar-responsive,wpb-js-composer js-comp-ver-5.7,vc_responsive

Smart Connectivity

Smart Connectivity – A Telecom service orchestration platform that powers novel solutions, creates new revenue streams, optimizes NQoS, and improves sustainability.

Schedule a Demo

What Is It?

Powered by advanced embedded and edge AI technologies, MicroAI Smart Connectivity provides comprehensive service orchestration capabilities that enable intelligent device lifecycle management, rapid execution of go-to-market for new revenue opportunities and accelerates new customer acquisition. Smart Connectivity delivers transformative value to MVNOs, CSPs, and OEMs.



Security and Monitoring for Telecom Ecosystems

MicroAI’s Security and Monitoring platform brings AI-enabled closed-loop cyber protection to telecom operators, service providers, and OEMs.

Smart Connectivity Features

MicroAI Smart Connectivity is the first-of-its-kind platform for intelligent orchestration of the entire telecom business and operational ecosystem. Key features include:

  • Deep Ecosystem Observability

    Real-time performance observability into an individual asset or into large groups of devices within the telecom network

  • Centralized, Holistic, Intelligence

    Provides performance intelligence across multiple networks and devices within the telecom ecosystem and aggregates data from device and network sensors to create behavioral profiles and real-time health scores

  • Tailored for Low Resource Devices

    Smart Connectivity incorporates machine learning that is designed specifically to run on network equipment and devices with limited memory and compute capacity

  • Predictive Analytics

    Multivariate analysis is performed across large volumes of input channels to generate predictive analytics related to network performance, hardware maintenance, customer usage trends, and more

  • Intelligent Workflows

    AI-enabled process workflows that go well beyond the capabilities of legacy BPM solutions by providing touchless, self-learning, self-evolving, management of complex business and operational processes

  • Reduced Cloud Dependance

    More data processed at the edge, vs in the cloud, reduces overall data handling cost by 70 to 80% and eliminates problems associated with data latency and connectivity

  • Zero-Trust Cyber-Security

    Self-learning algorithms provide the real-time intelligence needed to protect networks, devices, and customers from today’s sophisticated cyber threats

Use Cases

MicroAI Smart Connectivity has several powerful and transformative Use Cases for the Telecom industry, including:

Device Certification and Provisioning

Problem: Device certification and onboarding processes are impeded by the lack of deep process observability and control required to achieve high speed and reliability. Issues include shallow observability, static processes, and delayed TTM.

Solution: Smart Connectivity brings deep observability and intelligent workflows to the device certification and onboarding ecosystem. Stakeholders are now empowered with insight-rich data that is delivered in real-time. Benefits include:

  • Faster device certification
  • Reduced human dependance
  • Rapid TTM
  • Optimized revenue capture

Device Lifecycle Management

Problem: Inability to quickly gather the real-time insights that would improve the provisioning, performance, and monetization of massive volumes of IoT devices. Hurdles include:

  • Inefficient device catalog management
  • Sluggish SIM and use case activation
  • Non-optimized monetization
  • Lifecycle blind spots

Solution: Smart Connectivity provides consolidated visibility, management, and optimization of the entire IoT device lifecycle. Telecom and device OEM stakeholders will have a unified platform from which to manage every critical phase of the device journey while also providing a superior customer experience. Advantages include:

  • AI-enabled device catalogs
  • Automated SIM activation and use case enablement
  • Optimized service delivery and monetization
  • Real-time device lifecycle tracking and management

Creating New Revenue Streams

Problem: Telecom operators and CSPs lack service orchestration capabilities to match those of hyperscalers and cloud service providers to rapidly launch new programs and services that generate new revenue streams. Inefficiencies include:

  • Elongated TTM for new products and services
  • Prohibitive CAPEX barriers to develop new use cases
  • Costly integration with legacy back-end systems
  • Poor insights into business operations, actual value to customer, and financial outcomes

Solution: Smart Connectivity creates an intelligent service orchestration infrastructure that allows telecom operators and CSPs to compete with hyperscalers in the ability to recognize new revenue opportunities and to quickly develop and scale new products and services. Benefits include:

  • Dynamic management of catalog of product and service offerings
  • Differentiated offering based on deep insights into customer and location variances
  • Automated device activation and provisioning enables deeper market penetration
  • Deep analytics into device volume, program revenue, and margin performance

NQoS Optimization

Problem: The explosion in connected devices and the data they produce has had a ripple effect on attaining and sustaining high levels of mobile network performance. MVNOs need new technologies to meet demands of networks that are increasingly large and diverse. Challenges include:

  • Slow performance issue identification and mitigation
  • Inability to quantify the impact of sup-optimal performance on the user experience
  • Inconsistent roaming data availability and quality

Solution: Over the past couple of decades mobile network quality of service has improved incrementally. Smart Connectivity brings a paradigm shift in NQoS that fully addresses existing challenges.

  • Quicker, more accurate, identification and mitigation of performance issues
  • Predictive analytics support forward-looking impact assessment
  • Real-time visibility into roaming performance and customer experience
  • Improved customer experience, brand loyalty, and NPS scores

Hardened Cyber Security

Problem: Telecom network operators and service providers face challenges that were scarcely visible just a decade ago. Rapid detection and mitigation of a cyber-attack can mean the difference between a minor disruption or an operational catastrophe. Challenges include:

  • Overwhelming attack volume, variety, and sophistication
  • IoT device cyber-security vulnerabilities
  • Overmatched legacy cyber-security tools and protocols

Solution: Smart Connectivity deploys plug-and-play security directly into the devices, machines, and processes within the telecom infrastructure. AI-enabled security learns the normal state of asset behavior and provides early-stage detection of profile deviations caused by cyber intrusion. An arsenal of capabilities to create a powerful Zero Trust security state.

  • Deep observability into device and network security status
  • Improved visibility for Device OEMs
  • Predictive analytics that improve preparedness
  • Attainment of a Zero-Trust cyber-security state
  • Higher customer satisfaction and confidence

Ecosystem Sustainability

Problem: As 5G adaption continues to accelerate renewed focus is being applied to the sustainability of telecommunication networks. Overall network performance can no longer be separated from network sustainability. In essence, operators either have both or they have neither. Issues include:

  • Lack of in-built sustainability in new network infrastructure designs
  • Over-reliance on heavy, energy consuming, data centers
  • Non-optimized equipment lifecycle management
  • Non-automated network energy management

Solution: Smart Connectivity provides the AI-enabled technologies required to effect significant reductions in energy consumption and waste. These technologies will revolutionize energy management without sacrificing network performance and customer satisfaction. Benefits will include:

  • Up-front energy efficiency designed into new network components and hardware
  • Ability to embed AI into existing equipment to improve efficiency
  • Reduction in size and number of data centers required to support the network
  • Predictive vs reactive equipment maintenance
  • Extended lifespans for critical network equipment


Get started with intelligent integration and automation.


Predictive Intelligence – Industry 4.0 to 5.0

The next revolution in manufacturing will involve going beyond factory automation and into factory intelligence…




Personalized AI for Telecom

Optimize. Innovate. Disrupt. MicroAI™ provides advanced embedded and edge intelligence to power next-generation telecom solutions…




The Automotive Connectivity Paradox

Today’s vehicles are equipped with IoT-enabled devices and complex telematics networks that provide live tracking, remote start and stop, remote access, temperature control, and autonomous driving.




Around the globe, many infrastructure industries need advanced technologies that will meet evolving infrastructure demands.




AI-enabled financial intelligence that transforms volumes of data into profitable insights. MicroAI™ brings a full suite of AI and Machine Learning (ML) solutions..