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Deep Learning Solutions

Our team offers cutting-edge expertise in deep learning techniques and frameworks, developing advanced artificial intelligence (AI) models for a range of applications. With our deep learning solutions, you can leverage the power of AI to drive innovation, optimize operations, and create a competitive edge for your business.

What We Offer

Harness the transformative power of deep learning with our comprehensive suite of solutions designed to cater to diverse business needs and challenges. We offer unparalleled proficiency in the development and application of advanced AI models, particularly in the following areas:

Image Recognition

Our deep learning-based image recognition solutions are designed to automatically identify and classify objects within digital images. Whether it's identifying defects in manufacturing lines, analyzing medical images for early disease detection, or powering visual search in e-commerce, our image recognition solutions can be adapted to a multitude of applications, providing you with actionable insights that can significantly enhance decision-making and operational efficiency.

Speech Recognition

From transcribing meetings and calls to enabling voice-based user interfaces, our advanced speech recognition systems can decode and understand human speech, converting it into written text. We use state-of-the-art deep learning techniques to train our models, ensuring they can understand and transcribe speech accurately even in noisy environments. This empowers you to streamline your processes, enhance user experience, and achieve a higher level of customer satisfaction.

Object Detection

We offer sophisticated object detection solutions that can identify and locate objects within digital images or real-time video streams. This technology can be employed in a myriad of applications, from automated surveillance systems that identify potential threats, to autonomous vehicles that detect and navigate around obstacles, or retail solutions that track customer movements and interactions. Our deep learning-driven object detection models can provide you with real-time, accurate insights, enhancing the safety, efficiency, and productivity of your operations.

Natural Language Processing

We specialize in Natural Language Processing (NLP), offering solutions that can understand, analyze, and generate human language. Our NLP models can support various applications, including sentiment analysis, chatbots, text classification, and information extraction, helping you to unlock valuable insights from unstructured text data, enhance customer engagement, and drive informed business decisions.

Our Process

Experience a seamless journey from concept to execution with our efficient and well-structured deep learning solution development process. Here's a brief overview of the stages involved:

Consultation and Strategy Development

Our journey begins with an in-depth consultation to understand your unique business needs, goals, and constraints. We evaluate the potential of deep learning applications in your context, identifying areas where AI can create the most value. We then develop a comprehensive AI strategy that aligns with your business objectives and technological infrastructure.

AI Model Development

Once the strategy is defined, our team of data scientists and AI engineers start designing and building bespoke deep learning models. We leverage state-of-the-art deep learning techniques and frameworks to create models capable of tasks like image recognition, speech recognition, object detection, and more, tailored to your requirements.

Model Training

To ensure optimal performance, the models are then trained using relevant datasets. We incorporate robust validation measures during the training process, fine-tuning the models to ensure they deliver high precision and accuracy in real-world scenarios.


After the model training and validation, our team works closely with yours to integrate these models into your existing systems. We ensure seamless integration and configuration for optimal performance, enabling your business to leverage the power of AI efficiently.

Maintenance and Support

Once the models are deployed, we don't stop there. We offer ongoing maintenance and support, providing regular updates, troubleshooting issues, and monitoring performance to ensure the models continue to drive value for your business.

Training and Workshops

To maximize the impact of our solutions, we offer comprehensive training programs and workshops for your team. These sessions cover the fundamentals of deep learning, practical guidance on using the AI models, and best practices for leveraging these technologies to drive business results.

What We Offer

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Recommender systems

Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code. Click on Learn more to know more.


Deep Classifier

A classifier is any algorithm that sorts data into labeled classes, or categories of information. A simple practical example are spam filters that scan incoming “raw” emails and classify them as either “spam” or “not-spam.” Classifiers are a concrete implementation of pattern recognition in many forms of machine learning.


Facial recognition

Facial recognition is the process of identifying or verifying the identity of a person using their face. It captures, analyzes, and compares patterns based on the person's facial details.The face capture process transforms analogue information (a face) into a set of digital information (data) based on the person's facial features.



 TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library and is also used for machine learning applications such as neural




Keras is  High-Level Deep learning Python library extensively used by Data-scientists when it comes to architect the neural networks for complex problems. Higher  level API means that Keras can act as front end while you can ask Tensor-flow or Theano to work as back end



LSTM stands for Short Term Long Term Memory. It is a model or an architecture that extends the memory of recurrent neural networks. Recurrent neural networks have “short-term memory” in that they use persistent past information for use in the current neural network. 

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