Massive amounts of data combined with the cost and latency of cloud computing demand a robust edge computing solution.
To perform complex data analytics and execute complicated machine learning models on high volume, high velocity streaming sensor data in a limited memory footprint requires competency both in embedded devices and AI ML model.
From building extremely low footprint and low power models on constrained endpoints to bringing full-fledged, high-accuracy algorithms on edge devices, we bring the right solutions for our customer’s applications.
Cloud infrastructure offers cloud with AI & machine learning, the extensibility, resilience & procurement makes it an ideal choice for building an AI/ML pipeline that bring benefits for end-to-end system.
This amalgamation is far better than curling through the many manual algorithms and paves the way for digital innovation and enables to put data centric vision in to practice and achieve organization goal at faster pace.
With the years of expertise in providing state-of-the-art AI &ML solutions, we understand our customer’s requirements and constraints and build just the right solutions for them. From traditional machine learning to efficient deep learning networks, we use the right model architecture, frameworks, and tools to build a reliable and scalable solution for your application whether on Cloud and Edge devices.
AI potential assessment
Understanding business needs, data and constraints
Defining product functionality and integrating data
Building and deploying a customized AI product
Feedback and improvement
Monitoring and improving with live data