What we offer

AI on the Edge Services

TECHVIFY's AI at the Edge services provide powerful AI capabilities directly at the edge of your network. With our state-of-the-art technology, you can process and analyze data right where it's generated, significantly reducing latency and ensuring real-time insights. Whether in manufacturing, healthcare, transportation, or any other industry, our AI At the Edge solutions offers rapid processing, enhanced security, and increased efficiency.

What is Edge AI?

Edge AI, also known as AI at the Edge, refers to deploying AI algorithms and models on edge devices or edge computing platforms rather than relying on cloud-based processing. Edge devices, such as smartphones, Internet of Things (IoT) devices, or specialized hardware, have limited computational resources and are often located close to the data source or user interface. By bringing AI capabilities to these devices, edge AI enables real-time processing, reducing latency and dependence on cloud connectivity.

Importance of Edge AI

Edge AI plays a crucial role in various domains and industries. Here are some key reasons why edge AI is gaining importance:

Real-time Decision Making

AI for Edge products and services enable real-time decision-making capabilities, allowing devices to process data and provide immediate responses without relying on a cloud connection. This is particularly critical in scenarios where low latency is vital, such as autonomous vehicles or critical infrastructure monitoring.

Data Privacy and Security

AI Edge software and applications reduce the need to transmit sensitive data to the cloud, enhancing privacy and security. By processing data locally on edge devices, personal information can be kept within the device, minimizing data breaches or unauthorized access.

Bandwidth Optimization

Transmitting large volumes of data to the cloud can strain network bandwidth and increase costs. The AI Edge engineer team reduces the need for constant data transfer to the cloud by processing data locally, optimizing bandwidth utilization and reducing latency.

Offline Operation

Edge AI enables devices to operate autonomously even when disconnected from the internet or cloud, which is particularly advantageous in remote areas or situations where internet connectivity is unreliable.

AI on the Edge developed by TECHVIFY

TECHVIFY is at the forefront of developing cutting-edge AI at the edge solutions. Leveraging our expertise in artificial intelligence, software development, and information technology management, we offer various services and products according to different needs in industries across the board.

Algorithm Development

Our expert team develops advanced AI algorithms specifically designed for edge devices. These algorithms are optimized for efficient resource utilization and real-time processing, enabling intelligent decision-making at the edge.

Edge Device Integration

We seamlessly integrate AI capabilities into edge devices, ensuring compatibility, reliability, and performance, which enables devices to process data locally, derive actionable insights, and autonomously respond to dynamic environments

Edge-to-Cloud Connectivity

Leverage edge AI technology to establish robust connectivity frameworks between edge devices and the cloud. This enables bidirectional data flow, allowing edge devices to leverage cloud-based services for complex analytics, training, and model updates.

Data Security and Privacy

TECHVIFY prioritizes data security and privacy, implementing state-of-the-art encryption, access controls, and compliance measures. Your sensitive data will remain secure throughout the edge AI ecosystem.

Scalable and Future-proof Solutions

Our AI at the edge solutions are designed to be scalable and adaptable to evolving requirements. We use architecture and frameworks to support the seamless integration of additional edge devices, AI models, and cloud services as the ecosystem expands.

Benefits of Edge AI

Implementing edge AI solutions offers several benefits to businesses and industries. Let’s dive into some key benefits!

  • Lower Latency

Edge artificial intelligence brings intelligence closer to the data source, reducing latency in processing and decision-making. This is especially critical in time-sensitive applications, like real-time monitoring or instant response system software.

  • Improved Reliability

Ai at the Edge devices can keep working even if they lose contact with the cloud, eliminating the possibility of service interruptions caused by network failures or delays.

  • Cost Efficiency

Edge AI reduces the need for constant data transfer to the cloud, resulting in lower bandwidth costs. Additionally, by processing data locally, businesses can avoid the expense of maintaining extensive cloud infrastructure.

  • Enhanced Privacy

Edge AI enables data to be processed locally on the device, minimizing the need to transmit sensitive information to the cloud. This offers a huge benefit in the business and finance sectors, ensuring data privacy and mitigating risks associated with data breaches.

  • Scalability

By enabling the distribution of computational tasks across multiple devices, machine learning on Edge is able to accommodate the increasing demands of data processing. This approach is especially advantageous for large-scale IoT deployments and edge computing networks.

  • Real-time Insights

Processing data at the Edge empowers organizations to gain real-time insights and make informed decisions without being impeded by delays caused by data transmission to the cloud and back.

Why choose TECHVIFY as a reliable AI at the Edge partner? 

When it comes to AI at the Edge, TECHVIFY stands out as a reliable partner for several prominent corporations in various industries. With 500+ experts on board, we are committed to bringing the best practices and efficient collaborations for Edge to AI, resulting in a 50% cost down and driving your business to success.

  • Expertise and Experience

We bring extensive expertise in AI, software development, and information technology management. With years of experience in delivering cutting-edge solutions, our experts possess the knowledge and skills to address complex challenges in the field of AI at the Edge.

  • Industry-specific Solutions

TECHVIFY understands the unique requirements of different industries and tailors their solutions accordingly. Our industry-specific approach ensures businesses receive Edge AI solutions aligned with their goals and operational needs.

  • End-to-End Support

Offer full service throughout the entire process of implementing AI at the Edge. The devoted team works with clients from the first consultation, Edge learning AI and solution creation through deployment, integration, and maintenance.

  • Data Security and Privacy

Experienced professionals prioritize data security and privacy, implementing robust measures to protect sensitive information. They adhere to industry best practices, compliance standards, and encryption protocols to ensure data remains secure within the edge AI ecosystem.

  • Scalability and Future-proof Solutions

Our solutions are designed to be scalable and adaptable to evolving needs. We use architecture and frameworks to accommodate future expansions, allowing for the integration of additional edge devices, AI models, and cloud services as the ecosystem grows.

Edge AI Technology

We use several cutting-edge Edge computing artificial intelligence technologies and computing engineering tools to guarantee the highest level of solutions.

Internet of Things (IoT)

AWS IoT Greengrass | OpenVINO | Apache Edgent | IBM Watson IoT Platform |Edge Impulse |NVIDIA DeepStream SDK |Balena


PyTorch | ONNX | Keras | Apache MXNet | Core ML | TFLite Micro |CNTK (Microsoft Cognitive Toolkit)


BalenaCloud | Docker | Kubernetes |Microsoft Azure IoT Edge|Google Cloud IoT Edge|BalenaOS|Apache NiFi 

Edge AI Solutions for Industries

TECHVIFY offers innovative solutions that provide real-time insights and faster decision-making capabilities. Some notable Edge AI examples include:


Enable rapid analysis of patient data, early detection of anomalies, and efficient healthcare resource management.


Optimize production, minimize downtime, and improve product quality by embedding AI capabilities into machinery and production lines.

Transportation and Logistics

Facilitate intelligent routing, real-time information technology management, vehicle monitoring, and autonomous decision-making, leading to optimized logistics operations and reduced fuel consumption.


Enhance the retail experience by enabling personalized recommendations, real-time inventory management, and dynamic pricing. Provide intelligent cameras, smart shelves, and customer analytics, improving customer satisfaction and increasing sales.


Edge devices equipped with AI algorithms analyze environmental data, predict weather patterns, and optimize resource utilization, empowering farmers to make data-driven decisions and increase yields.


What does AI on the Edge mean?

AI at the Edge refers to deploying artificial intelligence algorithms and models directly on edge devices, enabling local data processing, real-time decision-making, and reduced reliance on cloud-based computing. It brings AI capabilities closer to the source of data generation, resulting in reduced latency, improved privacy, and enhanced operational efficiency.

What is an example of Edge AI?

An example of Edge AI is using AI algorithms on a surveillance camera to detect and identify objects in real time. Instead of sending the camera footage to the cloud for analysis, the AI algorithms are deployed directly on the camera, allowing it to identify objects and trigger appropriate actions locally. This reduces the response time and bandwidth requirements while ensuring real-time monitoring and security.

Can Edge AI be applied to small-scale businesses?

Yes, edge AI can be applied to small-scale businesses as well. It offers benefits such as cost efficiency, real-time decision-making, and improved privacy, regardless of the business size. Small-scale businesses can leverage edge AI to gain a competitive edge, optimize operations, and enhance customer experiences.