Edge AI Research

About

Presear Softwares’ Edge AI Research division focuses on bringing intelligence to devices and systems at the edge of networks. We design low-latency, energy-efficient AI solutions that operate in real-time on IoT devices, autonomous systems, and industrial edge networks. Our research bridges innovation and practical deployment, focusing on distributed AI, federated learning, and responsible edge computing.

Step-by-Step Research Process

1. Problem Discovery

Identify critical edge computing challenges in industries, smart devices, and IoT ecosystems.

2. Literature & Benchmarking

Study existing edge AI frameworks, compare with global best practices, and align with sustainability goals.

3. Prototype & Experimentation

Develop edge-native AI prototypes optimized for latency, energy efficiency, and device constraints.

4. Evaluation & Optimization

Test performance on real-world devices, optimize inference speed, accuracy, and resource utilization.

5. Collaboration & Publication

Publish findings, co-create solutions with academic, industry, and government partners.

6. Industry Pilots

Deploy pilot projects in smart cities, autonomous vehicles, healthcare devices, and industrial IoT.

7. Scaling & Adoption

Deliver edge-ready AI solutions with seamless integration, robust compliance, and operational reliability.

8. Continuous Innovation

Continuously improve AI models and architectures based on feedback and emerging edge technologies.

Focus Areas

Our research focuses on: Edge AI Architectures, Low-Power & TinyML, Federated Edge Learning, Trust & Security at the Edge, Real-Time AI Inference, and Policy & Governance frameworks.

Why Collaborate with Us?

At Presear Edge AI Research, innovation meets practicality. Our expertise, cutting-edge edge devices, and commitment to responsible AI ensure projects create real-world impact. Collaborate with us to pioneer intelligence at the edge of networks.