Deep Learning and Machine Learning Services

AI enablement for new-age products

Over the last few years, businesses have been disrupted in many ways, thanks to machine intelligent systems. We are living in a cognitive era where systems can see, listen, respond, and learn from every interaction we make, and redefine the existing benchmarks in the digital space with the next wave of digital transformation solutions.

eInfochips’ Artificial Intelligence & Machine Learning offerings help organizations build highly-customized solutions running on advanced machine learning algorithms. We also help companies integrate these algorithms with image & video analytics, as well as with emerging technologies such as augmented reality & virtual reality to deliver utmost customer satisfaction and gain a competitive edge over others.

Why eInfochips for AI and Machine Learning?

Machine learning capabilities from edge to cloud

Machine learning capabilities from edge to cloud

Expertise in frameworks like Caffe, Keras, TensorFlow, Theano, etc.

Expertise in widely adopted libraries like TensorFlow, PyTorch, Keras, Caffe, Theano

Expertise in hardware platforms like NVIDIA, Qualcomm, Texas Instrument, NXP, etc.

Expertise in hardware platforms like NVIDIA, Qualcomm, Texas Instrument, NXP, etc.

Dedicated engineers to design and build algorithms from scratch

Strong team with expertise in deep learning model architectures in object detection, image classification and video

Expertise in building solutions using open source libraries

Expertise in building solutions using commercial as well as open source technologies

Partnerships with cloud platforms like Azure, AWS, IBM Watson, Google Cloud, etc.

Strategic partnerships with infrastructure (NVIDIA), platform (Azure, AWS) and solutions (shAIp) providers for comprehensive offerings

Advanced expertise in Neural Network architectures like VGGNet, AlexaNet, Inception V3, SqueezeNet, etc.

Strong experience with algorithm optimization for edge inference using TensorRT

Key Offerings


  • ML proof of concept, ML library assessment
  • Solution architecture
  • ML tools & hosting assessment
  • Model re-engineering

Solution Design and Implementation

  • ML model driven AIoT (Edge, Cloud) development for computer vision or NLP applications, including training, performance tuning & testing
  • Algorithm porting & deployment
  • ML data annotation for training and validation

Managed Services

  • Model as a service
  • ML Lifecycle Management
  • Performance Monitoring

Success Stories

Looking for custom ML algorithms?