Smarter Devices. Real-Time Decisions. Connected Innovation.

In today’s hyper-connected world, real-time intelligence is a necessity. Aisosys enables businesses to move beyond cloud latency by integrating Edge AI and IoT to run AI models directly on devices — from cameras and sensors to smart wearables and industrial equipment.

With a team of 150+ AI and IoT experts, we help organizations harness the power of real-time data, reduce processing time, lower cloud dependency, and make mission-critical decisions faster and closer to the source.

What We Offer

Real-Time Inference on Edge Devices

Run AI/ML models directly on mobile, embedded, or IoT devices

Enable instant insights without relying on cloud roundtrips

Optimize models for low latency and minimal resource consumption

AI for Smart Sensors & Wearables

Develop AI-powered sensors for health and motion detection

Enable edge-based activity recognition and anomaly alerts

Improve user experiences with intelligent wearable tech

Predictive Maintenance Using AI

Detect equipment anomalies before failure using edge analytics

Analyze sensor data in real time to avoid downtime

Ideal for manufacturing, logistics, and energy industries

Edge AI for Surveillance & Smart Cities

Integrate edge vision for real-time object detection

Improve public safety and traffic management

Enable intelligent, decentralized decisions at scale

How It Works

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Use Case & Device Assessment

We evaluate your hardware and define edge use cases based on data, latency needs, and connectivity.

Model Optimization & Deployment

We design or adapt AI models for edge devices using frameworks like TensorFlow Lite or NVIDIA Jetson.

Edge-to-Cloud Integration

Seamlessly connect edge insights to cloud platforms for storage, dashboards, and central analytics.

Testing & Maintenance

We perform real-world testing for latency and reliability, and provide continuous performance support.

Why Choose Aisosys?

150+ skilled engineers, AI developers, and IoT architects

Deep expertise in low-latency, resource-optimized AI models

Full-stack support: from hardware to cloud platforms

Emphasis on data privacy and on-device security

Custom, scalable architectures for smart devices and cities

Use Case Applications

Healthcare

Manufacturing

Retail

Smart Cities

Logistics

Frequently Asked Questions (FAQs)

Still have a question?

What is Edge AI, and how is it different from cloud AI?
Edge AI runs machine learning models directly on devices, eliminating cloud roundtrips. This results in faster decision-making, lower latency, and greater privacy.
What types of devices can run Edge AI?
Edge AI can run on smartphones, microcontrollers, Raspberry Pi, Jetson Nano, FPGAs, and more. We optimize models for your specific hardware.
Can Edge AI work without internet connectivity?
Yes. That’s a key advantage. AI models can run offline on the device and only sync with the cloud when needed.
How secure is Edge AI for sensitive data?
Edge AI improves security by keeping data local to the device. We also implement encryption, secure boot, and access control measures.
Do you help integrate with existing IoT platforms?
Absolutely. We support integration with platforms like AWS IoT, Azure IoT Hub, and custom private cloud systems.

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