Driver and Firmware Development
VaaG was started to bring our expertise in wireless protocols and driver and firmware domains to industry vendors in need. As some of the original authors of upstream Linux wireless drivers, our team’s contributions to the upstream community are well known.
Our team has helped customers by offloading their pain with driver and firmware debugging on their platforms, enabling them to focus on what they do best—delivering world-class products to the industry. Whether it is integrating and customizing drivers and firmware, developing custom features, or maintaining the platforms through their EOL, we have done all of these for our customers.
Our expertise with all key chipset vendors, including Qualcomm, Broadcom, NXP, MediaTek, MaxLinear, and SiLabs allows us to address a broad market.
Middleware Development
VaaG specializes in creating robust middleware solutions that seamlessly integrate with both proprietary and open-source platforms. Our expertise ensures efficient communication between hardware and applications, enabling scalability, flexibility, and enhanced system performance.
Several middleware options are available that enable each of these and more. Some of the most common ones are:
There is often custom middleware that OEMs develop for some platforms but then need significant adaptation to port to other platforms.
All these require extensive expertise with standards such as TR-069, EasyMesh, 802.11s, TR-369, and others; open-source software such as RDK-B; communication protocols such as MQTT and CoAP; and security mechanisms such as TLS, Keycloak, etc. We have the expertise and the proven track record delivering to these needs.
Cross-Platform Integration
OEMs are always under time pressure to launch new platforms, and often specific features must be integrated into these platforms. As the number of platforms scales, each offering a variety of technologies, and running on different OSes and chipsets, keeping up with technology changes and integrating features across platforms is a difficult task.
VaaG helps OEMs plan through this and simplify cross-platform integration as much as possible. The key challenge is taking the time to understand each of the parts, identifying an integration strategy that is consistent with the long-term goals, and executing it with precision.
There are very few players with the expertise needed to pull together all of these, but VaaG, with its focus entirely on the telecom space, has built this kind of expertise.
Embedded Systems
VaaG Systems provides system architecture, design, driver and firmware development, power optimization, etc. for our customers as turnkey solutions. Our expertise ranges from bootloader to bare metal application and RTOS to driver and FW development.
Typical
Bare-Metal
The Bare Metal application can be invoked in one of many ways. In the following three scenarios, it is invoked after the primary boot stage has completed the system hardware initialization and verified the bare metal image or has been built as a boot module.
Deep Industry Expertise
RTOS Bare Metal Application - when the Bare Metal application runs from an RTOS
Results-Focused Culture
Our culture is built on camaraderie and trust, with a strong focus on teamwork and collaboration to deliver our customers' end goals.
Global Partnerships
We work with leading global companies across the US, Europe, and India, including Qualcomm, Technicolor, CommScope, and Free.
Automotive Systems:
Examples:
Anti-Lock Braking Systems (ABS), Electronic Stability Control (ESC), Airbag Systems, Engine Control Units (ECU).
Characteristics:
Require real-time processing to ensure vehicle safety and proper engine function, responding within milliseconds to sensor inputs.
Medical Devices
Examples:
Pacemakers, Defibrillators, Insulin Pumps, MRI Machines, ICU Ventilators.
Characteristics:
Ensure patient safety by monitoring and reacting to vital signs. For instance, a pacemaker must detect and correct irregular heartbeats almost instantly.
Industrial Automation
Examples:
Robotics for Manufacturing, Conveyor Belt Systems, CNC Machines, and Real-Time Quality Control.
Characteristics:
Maintain production efficiency and safety by responding to commands and sensors in real time, often with millisecond-level deadlines to avoid production delays or errors.
Telecommunications
Examples:
Network Routers, Switches, Base Stations, VoIP Systems.
Characteristics:
Handle data packets and manage network traffic in real time to avoid delays and packet loss, and ensure seamless communication, especially during high loads.
Power Systems:
Examples:
Smart Grids, Load Balancing Controllers, Circuit Protection Systems, Renewable Energy Management.
Characteristics:
Manage and balance power distribution in real-time to prevent overloading, faults, or outages, responding in milliseconds for efficient energy distribution.
Consumer Electronics:
Examples:
Smart TVs, Gaming Consoles, Virtual Reality (VR) Systems.
Characteristics:
Require real-time processing for user inputs and seamless video/audio playback, especially in interactive applications like VR, where delays could disrupt the experience.
Railway Systems:
Examples:
Train Signaling Systems, Automatic Train Control (ATC), Level Crossing Control.
Characteristics:
Control train movements and respond to track changes in real time to prevent accidents and ensure smooth operations.
In each of these fields, timing precision is essential, with systems engineered to prioritize predictable, ultra-fast response times to maintain safety, reliability, and functional integrity.
Device Driver Development
Our expertise spans device driver development on different processors and platforms for different I/O devices, as well as porting of the operating system for embedded systems. We also offer audio, video, storage, sensors, and other such integration. The platforms supported include Linux, Android, Windows Embedded, and VxWorks.
Texas Instruments (TI) DSP Libraries
Solutions:
TI offers a wide range of libraries for signal processing, such as the TI DSP Library (DSPLIB) and Image Processing Library (IMGLIB).
Applications:
These libraries support applications like real-time video processing, audio filtering, image processing, and motor control, specifically on TI’s DSP platforms like the C6000 and C2000 series.
MathWorks MATLAB and Simulink for DSP
Solutions:
MATLAB and Simulink provide a robust suite for designing, testing, and implementing DSP algorithms.
Applications:
Used widely for signal analysis, real-time audio and video processing, and prototyping for embedded DSP systems. Simulink models can also be deployed to DSP hardware.
Analog Devices’ SigmaStudio and CrossCore Embedded Studio (CCES)
Solutions:
SigmaStudio provides a graphical interface for designing audio processing chains, while CCES is an IDE supporting DSP software development for Analog Devices’ DSPs.
Applications:
Used in audio signal processing (e.g., mixers, soundbars), sensor applications, and industrial control on platforms like SHARC and SigmaDSP.
NXP MCUXpresso SDK for DSCs
Solutions:
The MCUXpresso SDK includes real-time control libraries, audio processing, and motor control libraries for NXP’s DSCs.
Applications:
Popular in motor control, automotive (e.g., engine management, safety systems), and consumer audio devices. NXP DSCs, such as the DSC56F8xx series, are supported by this SDK.
Cadence Tensilica HiFi DSP Frameworks
Solutions:
Cadence provides HiFi DSP frameworks for audio, voice, and speech processing, optimized for Tensilica DSPs.
Applications:
Ideal for applications in smart speakers, mobile audio processing, noise cancellation, and voice recognition.
Microchip MPLAB Harmony DSP Libraries
Solutions:
MPLAB Harmony provides signal processing libraries and audio-specific DSP libraries for Microchip’s dsPIC DSCs and PIC32 processors.
Applications:
Utilized in automotive control, digital power applications, audio processing, and industrial automation.
STMicroelectronics STM32Cube DSP and Motor Control Libraries
Solutions:
STM32Cube provides DSP libraries and motor control software development kits for STM32 microcontrollers with DSP and DSC capabilities.
Applications:
Commonly used in industrial motor control, power tools, digital power supplies, and audio processing applications.
Qualcomm Hexagon DSP SDK
Solutions:
Qualcomm Hexagon DSP SDK provides optimized libraries for image, video, and audio processing, as well as machine learning applications.
Applications:
Frequently seen in mobile phones, IoT devices, and edge AI applications where tasks like audio enhancement, image recognition, and AR/VR processing are handled on Qualcomm Snapdragon processors.
Xilinx Vitis AI and DSP Libraries
Solutions:
The Vitis AI and DSP libraries in the Vitis platform provide extensive support for FPGA- and DSP-based signal processing applications.
Applications:
Applied in video surveillance, medical imaging, radar systems, and telecommunications, allowing for highly parallel signal processing capabilities on Xilinx FPGAs.
NVIDIA CUDA for DSP on GPUs
Solutions:
CUDA DSP libraries provide a platform for high-speed signal processing on GPUs.
Applications:
Advanced image processing, machine learning, and large-scale sensor data analysis in areas like autonomous vehicles and AI-driven devices.
Device Driver Development Expertise
Audio Driver
Speech/Audio Codec, MIDI, AC97, SPDIF
Video Driver
PPI (ITU-R 656), WDM Driver for Video Streaming, Video Codecs, Mini Driver for Video Streaming
Camera Drivers
Color Correction, 2D/3D Noise Filter, ISP Data Processing, Color Correction
Display Drivers
HDMI, DVI, LVDS, MIPI, S-Video, LCD
Storage Device Drivers
NOR Flash, HDD, NAND Flash, Compact Flash
Connectivity Device Driver
IR, CAN, Ethernet, USB1.1, USB2.0
Communication Driver
E1/T1, I2C, SPI, PCI, PCIe, PC-MCIA, PMC, XMC
Wireless Driver
802.11a/b/g, GSM/2G/3G/HSDPA/LTE, W-LAN, GPS
User Interface Driver
Graphics Controller, CD-ROM, Touch Screen, LCD
Networking and Acceleration
Our Expertise in Software Product Architecture and Design
At VaaG Systems, we specialize in the design and architecture of high-performance software solutions for complex networking environments. Our team’s deep knowledge and experience in networking technologies, system security, embedded operating systems, and performance optimization enable us to deliver cutting-edge solutions that accelerate data paths, enhance security, and optimize network performance.
Key Domains of Expertise:
Network Data Path Acceleration
We develop software architectures that accelerate network data paths, enabling faster data transmission and reduced latency. By optimizing both hardware and software data planes, we enable systems to process high-throughput traffic more efficiently. Our solutions help clients achieve near-real-time data performance for network-critical applications, from cloud services to edge devices.
Key Capabilities:
TCP/IP Network Stack (L2, L3, L4)
Our team has deep expertise in the TCP/IP network stack, focusing on layers 2, 3, and 4 of the OSI model. We specialize in developing and optimizing the core networking functions that ensure secure, fast, and reliable communication across networks. Whether it’s IPv4, IPv6, TCP, UDP, ARP, or DHCP, we architect solutions to meet the specific needs of our clients’ network environments.
Key Capabilities:
Network Security
Security is a critical component of any network infrastructure, and we provide robust solutions to protect your network from threats. We design software architectures for firewall protection, NAT, IPsec VPNs, Intrusion Prevention Systems (IPS), and parental control solutions. Our security-focused solutions also include integration with third-party antivirus and anti-spam software to ensure comprehensive protection.
Key Capabilities:
Embedded Operating Systems
We specialize in the design and optimization of embedded operating systems, including pSOS, VxWorks, and lightweight executable systems. Our embedded solutions are engineered to meet the constraints of embedded environments, ensuring efficiency and scalability while minimizing overhead. These systems are ideal for real-time, low-latency applications and offer robust support for network communications.
Key Capabilities:
Technology Core Competencies
Our technology competencies are centered around cutting-edge networking protocols, performance optimization, and embedded systems. These core capabilities ensure that we deliver state-of-the-art software solutions for network acceleration, security, and system efficiency.
Computer Networks (TCP/IP Protocol Stack)
Deep expertise in IPv4, IPv6, TCP, UDP, ARP, DHCP (v4/v6), PPPoE, and more.
Proficient in both wired and WiFi networking environments.
End-to-end design and optimization of network protocol stacks.
Performance Cycle Improvement & Optimization
We specialize in performance profiling and improving the data flow of networks, reducing latency, and enhancing throughput.
Use of advanced tools for debugging, profiling, and identifying optimization opportunities.
Control Plane & Data Plane Communication
Architecture and optimization of control plane and data plane interactions for seamless, high-performance communication.
Development of efficient signaling protocols for large-scale networks.
Network Security Technologies
Expertise in firewall technologies, NAT, IPsec VPNs, and Intrusion Prevention Systems (IPS).
Integration with third-party antivirus and anti-spam software solutions.
Implementation of security protocols and encryption for secure data transport across networks.
Embedded Operating Systems
In-depth knowledge of Linux kernel, pSOS, VxWorks, and lightweight embedded operating systems.
Design and deployment of custom embedded systems for performance and scalability.
Why Choose VaaG Systems?
Comprehensive Expertise
With a multidisciplinary team of network engineers and software developers, we bring advanced technical expertise across all layers of the network stack.
Proven Methodologies
Our solutions are developed using industry-leading practices and tools, ensuring high performance and security.
Custom Solutions
We work with clients to understand their specific needs, offering bespoke solutions tailored to unique business requirements.
Innovation-Driven
We keep pace with the latest trends in network performance, security, and embedded systems to ensure that your solutions are future-ready.
Let Systems help you accelerate your network, enhance security, and optimize your embedded systems. Reach out to us for a consultation or to learn more about how our specialized software solutions can transform your business.
Innovative IoT Integration with Matter
Unlocking the Future of Interconnected Devices with Open-Source Interoperability
At VaaG Systems, we specialize in integrating IoT solutions using **Matter**, an open-source connectivity standard that brings seamless, secure, and scalable interoperability across a wide range of smart devices. Whether you’re designing smart homes, enterprise solutions, or industrial IoT ecosystems, we ensure your devices perform flawlessly together, regardless of brand or platform.
What Is Matter?
Matter is the open-source, royalty-free connectivity standard that is transforming the Internet of Things (IoT). It is designed to simplify device compatibility across platforms such as Amazon Alexa, Apple HomeKit, Google Assistant, and others. Matter is built on a foundation of security, scalability, and privacy, ensuring that connected devices communicate smoothly and securely.
Open-Source Foundation
Developed by the Connectivity Standards Alliance (CSA), Matter fosters collaboration and innovation across the industry.
Interoperable Ecosystems
Devices built with Matter can seamlessly integrate with leading smart home platforms like Amazon Alexa, Google Home, and Apple HomeKit.
Enhanced Security
Matter guarantees end-to-end encryption, securing your IoT devices and their communications in any environment.
Scalability for the Future
As an evolving open standard, Matter ensures that your IoT devices stay relevant and compatible with emerging technologies.
Our Expertise in Matter IoT Integration
We pride ourselves on our deep technical expertise and experience in delivering Matter-based IoT solutions. Our services span the entire lifecycle—from concept to deployment, testing, and long-term support—ensuring that your Matter-enabled devices are reliable, secure, and future-ready.
Services We Offer
Matter Consulting & Strategy
Tailored guidance on how Matter can enhance your IoT ecosystem, improve interoperability, and reduce time to market.
IoT Design & Development
We design and develop Matter-compliant IoT devices and platforms, ensuring seamless connectivity across smart home or enterprise systems.
Firmware & Software Engineering
We provide custom firmware development that leverages Matter’s capabilities for optimized device performance and cross-platform communication.
Testing & Certification Assistance
We assist with the rigorous Matter testing and certification process to ensure your products meet the highest standards of performance and security.
Seamless System Integration
Our team ensures that Matter devices integrate smoothly with your existing infrastructure, whether it’s home automation systems or complex industrial IoT platforms.
Maintenance & Future-Proofing
As the Matter protocol evolves, we help update and maintain your IoT solutions to ensure they stay compatible with future advancements.
Real-World Use Cases of Matter Integration
Smart Homes
Connecting devices for seamless living with Matter, you can effortlessly integrate smart lighting, thermostats, locks, cameras, and more, regardless of the manufacturer. At **VaaG Systems**, we’ve implemented Matter in various smart home ecosystems to create a truly interconnected and automated living space.
Example: Smart Home Integration
Imagine a scenario where your lighting, security system, and thermostat automatically adjust when you arrive home or when a specific event occurs. With Matter, your smart devices will work together without the need for multiple apps or hubs, streamlining your smart home experience.
Interoperable Devices
Devices from multiple manufacturers (such as smart locks from one brand, lights from another, and thermostats from yet another) all communicate under the Matter standard.
Seamless Automation
Matter devices can trigger actions based on predefined conditions. For example, turning off all lights when you leave the house or adjusting the temperature when you’re away, all integrated within a single ecosystem.
Smart Offices & Commercial Spaces: Optimizing Building Management
In modern commercial spaces, managing energy consumption, security, and building systems is crucial. Matter makes it easier to integrate and automate various systems into one cohesive solution, allowing for better control and monitoring.
Example: Smart Building Management
We’ve helped design commercial IoT systems where lighting, HVAC (heating, ventilation, and air conditioning), security cameras, and sensors all work together seamlessly. This integration reduces energy costs, increases security, and enhances the overall experience for building occupants.
Energy Efficiency
Matter-enabled thermostats and lighting systems work together to optimize energy use. For example, when motion sensors detect no one in a room, lights automatically turn off, and the temperature adjusts.
Smart Security
Integrated security systems, including cameras and motion detectors, can trigger alarms or notifications to building managers when unauthorized access is detected, all while being easily managed through a single platform.
Healthcare: Enhancing Patient Care and Safety
In healthcare, IoT devices are crucial for patient monitoring, asset tracking, and maintaining operational efficiency. With Matter, healthcare systems can integrate a range of medical devices securely and reliably.
Example: Healthcare IoT Integration
We’ve helped design commercial IoT systems where lighting, HVAC (heating, ventilation, and air conditioning), security cameras, and sensors all work together seamlessly. This integration reduces energy costs, increases security, and enhances the overall experience for building occupants.
Patient Monitoring
Devices such as wearable sensors communicate critical health data in real time, providing healthcare providers with timely insights into patient conditions.
Asset Tracking
Matter allows for seamless tracking of hospital assets, such as mobile medical equipment or patient beds, ensuring they are always in the right place when needed.
Industrial IoT: Streamlining Manufacturing and Logistics
Industrial IoT (IIoT) applications can greatly benefit from the interoperability that Matter provides. Whether it’s managing machinery, sensors, or logistics systems, Matter ensures smooth communication and real-time data transfer.
Example: Industrial Automation
In manufacturing facilities, we’ve integrated IoT devices like temperature sensors, vibration monitors, and smart machinery into one cohesive system using Matter. This real-time data collection leads to faster decision-making and improved operational efficiency.
Predictive Maintenance
IoT devices continuously monitor machinery health, using data to predict failures before they happen and minimizing downtime.
Supply Chain Optimization
Sensors integrated across the supply chain can automatically update inventory systems, track shipments in real time, and alert managers to potential issues.
Why Choose VaaG Systems?
Proven Expertise in Matter
We have in-depth knowledge of the Matter protocol and a proven track record of successful integrations across various industries.
Tailored Solutions for Every Need
Whether you’re building a smart home, optimizing a commercial building, or developing an industrial IoT system, we customize solutions that align with your specific goals and challenges.
Comprehensive End-to-End Services
From initial consulting and design to deployment and ongoing support, we provide a full range of services to ensure your IoT system operates seamlessly.
Security and Scalability
We focus on building secure systems that scale as your needs grow, ensuring long-term reliability and future-proofing your investments.
Additional Resources
Deep Dive into Matter's Security Features
Why Interoperability Matters in IoT: A Guide to Matter’s Role
How Matter Improves Device Lifecycle Management in IoT
Case Study: How VaaG Systems Implemented Matter in a Smart Building
Artificial Intelligence
Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) are often confused and positioned purely for keyword mapping. We at Vaag Systems focus our efforts on building custom solutions for specific use cases. Here is how, in our view, the three domains are best used in wireless networking, and we are happy to help customize based on customer needs.
When it comes to GenAI, we are focused on providing value-based solutions. Rather than creating new LLMs, we look at specific needs, find open source LLMs where appropriate, customize them, and maximize the experience through optimizing for rapid processing of data, including customizing the Linux Eth stack as appropriate to faster processing and collation of large data sets.
Machine Learning (ML) in Wireless Networking
Machine learning provides the ability to analyze large datasets, identify patterns, and make predictions, making it an ideal fit for improving network performance, security, and optimization in the wireless and WiFi industries. Here are some detailed use cases:
Predictive Network Optimization
Use Case
ML algorithms analyze historical traffic patterns, environmental factors, and user behavior to predict when network congestion will occur and proactively adjust network parameters.
Example
In WiFi networks, ML models can forecast the likelihood of congestion in specific areas (e.g., offices, conference rooms, or public spaces) and adjust channel allocations, power levels, or routing to optimize the available bandwidth.
Benefit
Minimizes disruptions in high-demand environments, ensuring a smoother user experience.
Anomaly Detection for Network Security
Use Case
ML excels at analyzing network traffic for patterns that deviate from the norm, identifying potential security threats such as unauthorized access or DDoS attacks.
Example
By continuously monitoring network traffic in real time, ML systems can detect abnormal activities like unusual data spikes or irregular access patterns, raising alerts, or taking automated defensive actions like isolating compromised devices.
Benefit
Enhances network security by detecting and responding to threats in real time, often faster than manual methods.
WiFi Channel Allocation and Interference Management
Use Case
ML models dynamically analyze the electromagnetic spectrum to predict interference and select the best WiFi channels in high-density environments.
Example
In a multi-building office campus, ML can predict where interference is likely to occur, based on historical data and environmental factors, and automatically assign optimal channels to minimize overlap and signal degradation.
Benefit
Maximizes WiFi performance by reducing interference and improving signal quality, ensuring reliable connectivity.
Traffic Forecasting and Load Balancing
Use Case
ML models predict traffic demand based on historical patterns and usage trends to dynamically balance loads across network resources.
Example
In a busy WiFi hotspot, ML can predict peak traffic hours and adjust network load distribution in real time to prevent congestion and ensure optimal performance across all devices.
Benefit
Ensures that resources are used efficiently and that network congestion is minimized during peak usage times.
Traditional AI in Wireless Networking
While machine learning is powerful for pattern recognition and prediction, traditional AI techniques based on rule-based systems, logic, and heuristics are often better suited for tasks requiring structured decision-making or deterministic behavior.
Network Traffic Management
Use Case
Traditional AI excels in environments that require deterministic decisions, such as prioritizing certain types of traffic over others (e.g., VoIP, streaming, or gaming).
Example
A rule-based AI system could prioritize critical traffic (like medical device communications in a hospital) while ensuring bandwidth for less sensitive applications like email and web browsing.
Benefit
Ensures smooth performance by applying strict policies to manage network traffic.
Automated Troubleshooting and Diagnostics
Use Case
Rule-based expert systems can be used to automate common troubleshooting steps, helping network administrators quickly identify and resolve network issues.
Example
A traditional AI system could guide administrators through predefined diagnostic steps, such as checking cable connections, device settings, or signal strength, based on a set of logical rules.
Benefit
Reduces downtime and helps network operators resolve issues quickly without requiring deep expertise.
Configuration Management and Compliance Enforcement
Use Case
Traditional AI systems enforce predefined network configurations, ensuring that network devices and software adhere to strict policies and industry standards.
Example
A configuration management AI could check if all access points in a large WiFi network are set to the correct security protocols, such as WPA3, and alert administrators if any device is out of compliance.
Benefit
Ensures consistency and compliance with security standards, minimizing the risk of misconfigurations or security breaches.
Generative AI (GenAI) in Wireless Networking
Generative AI is focused on creativity, content generation, and simulating complex environments. For the wireless networking industry, GenAI is particularly useful for network design, content creation, and enhancing customer interaction.
Virtual Network Simulation and Design
Use Case
GenAI can simulate diverse network environments and configurations, helping engineers design and test network setups before physical deployment.
Example
GenAI can generate multiple WiFi network configurations with varying channel selections, power levels, and device placements, simulating real-world traffic loads and interference patterns, to identify the most optimal design.
Benefit
Reduces the time and cost associated with physical testing while providing more efficient and effective network designs.
Customer Support Chatbots
Use Case
GenAI-powered chatbots provide real-time customer support, answering queries related to network troubleshooting, optimizing WiFi settings, or explaining service plans.
Example
A WiFi service provider uses GenAI to offer 24/7 support through a chatbot, which can automatically diagnose connection issues (e.g., low signal strength, interference) and suggest corrective actions.
Benefit
Enhances customer experience by providing immediate, intelligent responses and reducing the need for human intervention.
Automated Reporting and Insight Generation
Use Case
GenAI can generate human-readable reports and insights from complex network data, transforming raw logs into understandable narratives that network operators and business decision-makers can act on.
Example
After analyzing network performance metrics, GenAI can create detailed reports on bandwidth usage trends, device connectivity issues, or security events, with recommended actions.
Benefit
Makes complex data more accessible to non-technical stakeholders, improving decision-making and proactive management.
Combination of Approaches: Hybrid Solutions for Complex Network Challenges
For some of the most advanced wireless networking needs, combining the strengths of machine learning, traditional AI, and generative AI can provide superior results. Here are some scenarios where a hybrid approach is beneficial:
AI-Powered Network Automation and Optimization
Combination
ML for prediction and optimization, traditional AI for rule-based decision-making, and GenAI for reporting and customer interaction.
Example
In a smart office environment, ML models predict network congestion, while traditional AI applies rules to prioritize critical traffic. GenAI is then used to generate daily performance reports and communicate with users about any ongoing issues.
Benefit
This holistic approach ensures optimal performance, quick issue resolution, and transparent communication with users.
Proactive Security Systems
Combination
ML for anomaly detection, traditional AI for rule-based responses, and GenAI for incident reporting and user communication.
Example
An ML model detects abnormal traffic patterns indicating a potential attack. Traditional AI uses predefined protocols to block malicious activity, while GenAI generates a detailed report and notifies network administrators or users.
Benefit
Reduces the response time to threats, automates security measures, and ensures that stakeholders are kept informed.
Dynamic WiFi Management and Customer Engagement
Combination
ML for dynamic traffic management, traditional AI for enforcing QoS policies, and GenAI for real-time customer interaction and personalized feedback.
Example
ML predicts traffic spikes, while traditional AI ensures high-priority services are always available. GenAI-powered chatbots provide users with personalized tips to improve their WiFi experience based on real-time network conditions.
Benefit
Provides a seamless, efficient network experience while enhancing customer satisfaction through personalized support.
Generative AI is focused on creativity, content generation, and simulating complex environments. For the wireless networking industry, GenAI is particularly useful for network design, content creation, and enhancing customer interaction.
Let VaaG Systems elevate your wireless network with intelligent, AI-driven solutions that transform connectivity.
Cloud Software Development
VaaG’s cloud engineering team specializes in IoT applications development, with a deep focus on the telecom space.
Our engineers have spent decades with Tier 1 companies including Cisco, Walmart, Apple, etc. Our cloud team has expertise in Java, Spring, Angular, ReactJS, HTML, CSS, and cloud technologies, as well as a deep understanding of wireless technologies and standards. We build cogent, differentiated solutions tailored to the specific needs of each customer.
Mobile App Development
Ease of use for customers is a table stakes for OEMs. A well-thought-out mobile app is the centerpiece of:
Additional features including parental controls, security, and QoE management are crucial to differentiate the product from the competition.
VaaG has delivered on these for multiple customers and provides an SDK-based solution that accelerates time to market for OEMs by at least 30%.
We are experienced in relevant platform technologies such as
Combining this with a strong understanding of machine learning technologies and open-source tools like TensorFlow, we build state-of-the-art IoT device management, monitoring, and monetization solutions targeted at specific customer market segments. We are also well versed in the art of DevOps and CloudOps. We have delivered enterprise-grade end-to-end IoT solutions and cloud management software stacks for smart city vendors and smart facility providers.
With our experience and expertise, we have built customizable SDK packages that accelerate product delivery by over 30% compared to building ground up and integrating the pieces.
Test Engineering
With a focus on the telecom market, this seasoned team is led by engineers who worked with Tier 1 companies including Arista, Cisco, and Dell. Key areas where this team focuses and delivers to our customer needs are:
Hardware Development
VaaG’s hardware engineering team focuses on design services targeted to the access point, smart home, and IoT segments. The range of services and capabilities includes:
Services:
Capabilities:
Contact Us
Contact VaaG Systems for your next embedded design project.
VaaG Systems leverages AI-powered design and development to build intelligent fidelity solutions for ODMs, ISPs, and Enterprises.