EDGE AI Development
Transforming the process of innovation
Exploring, deepening, and applying cutting-edge technologies in areas like automation, data science and the Internet of things, now INTERA is strongly betting in developing embedded AI solutions and accelerators focusing on optimizing computing performance, to make AI applications more efficient and more accesible to people.
EDGE AI Development
INTERA provides essential tools for machine learning teams aimed at maximizing AI performance on various EDGE hardware platforms.
By emphasizing efficiency and streamlining deployment processes, INTERA helps accelerate the adoption and deploitment speed of AI applications
INTERA’S EDGE AI development technical capabilities include:
EDGE-OPTIMIZED AI Model Development
INTERA’s Digital solutions leverage cutting-edge AI models tailored for edge devices, facilitating seamless data integration and analysis.
By utilizing integral analysis for continuous data monitoring, anomaly detection for timely event alerts, and multi-modal sensor fusion, these solutions deliver an integrated and real-time perspective on people, machinery, and equipment, enhancing operational efficiency and decision-making.
Interoperability and Deployment Flexibility
Our solutions ensure seamless integration across various hardware platforms, allowing for flexible deployment on diverse edge devices.
INTERA simplifies the deployment of AI models by enabling users to export them as optimized C++ libraries that are compatible with widely used frameworks such as TensorFlow, and Pytorch, ensuring broader platform compatibility and ease of integration into various applications.
Integration with other Frameworks
INTERA’s solutions leverage standard technical principles to deliver predictive analytics for early problem detection.
We offer personalized monitoring based on specific patterns, and proactive alerts that enhance user capability in managing performance efficiently.
Privacy-First Design with Local Data Handling
INTERA’s privacy-first AI solutions prioritize user confidentiality by processing sensitive data locally, avoiding reliance on external data transmission.
Using techniques like local encryption and secure storage, sensitive information is kept on the device, effectively protecting user privacy and enhancing data security.
On-Device Data Processing and Real-Time Insights
INTERA’s on-device data processing delivers real-time analysis and insights directly on measurement, sensing, or actuation devices, significantly minimizing latency.
This capability ensures users receive immediate feedback on their performance metrics, enhancing operational efficiency while eliminating dependence on cloud connectivity.
Problem Solved?
EDGE AI Platform
Our Edge AI platform development addresses several challenges by bringing artificial intelligence capabilities closer to where data is generated e.g. devices like sensors, actuators, or IoT gadgets rather than relying solely on centralized cloud systems. Here’s a breakdown of the key problems solved by our solutions:
Latency
Processing data locally on the edge we eliminate the delay of sending it to a distant server and back. This is critical for real-time applications like electric vehicles, industrial logistics or healthcare where split-second decisions matter.
Bandwidth Constraints
Transmitting massive amounts of raw data to the cloud eats up network bandwidth. Our EDGE AI processes data on-site, allowing devices to send only the essentials like insights or alerts, reducing network strain.
Data Privacy and Security
Our EDGE AI allows keeping sensitive data local rather than uploading it to the cloud minimizes exposure to breaches or interception. We believe this is huge for sectors like healthcare or security, where regulations like HIPAA or GDPR come into play.
Connectivity Dependence
Cloud-based AI fails when internet access drops. Our EDGE AI keeps things running offline, which is vital in remote areas, underground facilities, or during network outages.
Cost Efficiency
Constantly streaming data to the cloud racks up expenses e.g. for data transfer and storage fees. Our EDGE AI cuts those costs by handling most processing locally, only tapping cloud resources when necessary.
Scalability
As IoT devices multiply (billions are already out there), central servers can get overwhelmed. Our EDGE AI design distributes the workload, making it easier to scale without choking the system.
Power Consumption
For battery-powered devices like wearables, sensors, meters or small appliances sending data to the cloud drains energy fast. Our local processing architecture optimizes power use, extending device life.
Some of our developments regard to e.g. smart sensors that detect intruders on the spot, or factory sensors that flag equipment issues instantly, or electric vehicle performance and safety, no cloud roundtrip required. The trade-off is that edge devices need enough compute power and efficient algorithms to handle AI tasks, but advances in our EDGE AI approach (like tiny ML chips) and software (like model compression) are making that easier.
INTERA is made up of the most committed professionals in Europe who collaborate with clients to work towards creating the most advanced AI solutions & chip accelerators.
The company has developed innovative solutions for various applications, advancing the state of the art and creating value for its customers and partners.
