Leverage Real-Time Intelligence Where Data Is Produced
At Scalefocus, we understand how latency impacts productivity, application performance, and user experience. We also recognize the importance of real-time data processing and analysis, especially in critical applications.
Our Edge AI Implementation services are designed to leverage the power of AI at the edge, closer to data sources. By speeding up processing and distributing loads, we enable businesses to make faster and more informed decisions while maintaining complete control over their data and AI models.
Core Focus Areas
Manufacturing and Operations
Predictive maintenance, quality control, and process optimization using Edge-based computer vision (including computer vision solutions embedded in mobile apps) and machine learning.
Fraud Detection in FinTech
Edge AI enables real-time fraud detection in FinTech by processing data locally for faster response, enhanced privacy, and reduced reliance on cloud infrastructure.
Healthcare
Real-time patient monitoring, medical imaging analysis, and clinical decision support systems using Edge-based AI.
Product Development
Quick AI deployment to validate ideas and develop smart products using off-the-shelf AI, agentic and data solutions.
Our Edge AI Implementation Process
Our team follows a structured approach to ensure successful Edge AI implementations.
Edge AI Technologies
We work with multiple Edge AI technologies to accelerate the delivery of next-generation
products and solutions.
TensorFlow Lite
Develop and deploy, manage and operate lightweight ML models on edge devices.
OpenVINO
Optimize and deploy computer vision models on edge devices using Intel’s OpenVINO toolkit.
Edge ML
Implement machine learning models on edge devices using frameworks like Edge ML.
Put AI Close to the Action – At the Edge
Our tailored Edge AI solutions help you reduce latency, enhance operational efficiency, and maintain full control over your data – all while scaling seamlessly to meet future demands.
Real-Time Decision-Making
Process and analyze data in real-time to accelerate decision-making and improve responsiveness.
Reduced Latency
Minimize delays associated with cloud-based processing to ensure timely reactions to dynamically changing conditions.
Boosted Scalability
AI compute scales alongside growing edge device networks, enabling real-time data collection and processing.
Enhanced Performance
Optimize system performance by offloading compute-intensive tasks from the cloud to edge devices.
Improved Security
Keep sensitive data on premises and reduce the risk of data breaches and cyberattacks. With Edge AI, clients have complete control over their data to make sure it is not transmitted to the cloud or shared with third-party providers.
Safeguard Your Assets With Edge AI
When running AI models on your hardware, data is protected from unauthorized access, tampering, or exploitation. Edge AI implementations provide an additional layer of security, as:
Why Scalefocus
Scalefocus’ unique approach to Edge AI implementations has been pivotal for our projects’ success. Here is what sets us apart:
Client Success Stories
From enabling real-time consumer insights to revolutionizing knowledge management and agile staffing, our AI solutions help clients achieve greater efficiency, accuracy, and innovation. Leveraging advanced AI technologies and MLOps expertise, we empower organizations to accelerate business outcomes in data-driven environments.
AI-Enabled Consumer Intelligence for US Technology Leader
AI-Powered Solution for Efficient Knowledge Management
