Our company enhances the performance of business applications through AI solutions that utilize data-driven methods such as deep learning, machine learning, computer vision, and natural language processing.
Our AI technology consulting services offer expert guidance and advice on developing an AI solution that meets the specific needs and objectives of a project. We assist in crafting an ideal strategy for designing and implementing the AI solution to achieve optimal results.
Our complete AI model development process encompasses several steps such as assessment, model selection, data preparation, training, and parameter adjustment to ensure precise and accurate results.
We utilize various techniques such as transfer learning, learning rate scheduling, data augmentation, regularization, and hyperparameter tuning to optimize the trained model and obtain the best possible outcome.
Our AI Model Integration and Optimization service is an all-inclusive solution that focuses on custom integration, refining models, and incorporating the latest techniques to achieve peak performance. This service aims to simplify your workflow and increase efficiency by ensuring optimal performance of the AI models.
Our custom hybrid AI model enables us to create generative AI tools such as ChatGPT, Midjouney, Dall-E, and chatbots, with unparalleled accuracy in NLP and NLU. Our industry-leading approach to developing these tools ensures that they meet the highest standards of accuracy and precision.
We specialize in creating personalized AI solutions that improve brand recognition and increase productivity. These include voice assistants, voice recognition software, game AI, autonomous systems, fraud detection software, predictive maintenance tools, and sentiment analysis software.
Our DL frameworks include PyTorch, MXNet, Nvidia Caffe, Caffe2, Chainer, Theano, and Keras.
Our toolkits include Microsoft cognitive toolkit, core ML, and Kurento’s computer vision module.
Our generative models include generative adversarial networks and transformer models.
Our image classification models include VGG-16, ResNet50, Inceptionv3, and EfficientNet.
Our libraries include OpenNN, Neuroph, Sonnet, TensorFlow, Tensor2Tensor, and tf-slim.
Our algorithms include supervised/unsupervised learning, clustering, metric learning, and few-shot learning.
Our neural networks include CNN, RNN, representation learning, manifold learning, variational autoencoders, bayesian networks, and autoregressive networks.
We have a track record of assisting companies in many niches to advance. And we continue to use AI algorithms to improve our domain-specific expertise.
Use AI to power smart assistants that aid in better decision-making and financial apps that help users manage budgets, score credits, and find irregular transactions to help avoid fraud.
Use your AI developer to predict the behavior of your customers. enable individualized recommendations, offer advisory services for improving the customer experience, boost the effectiveness of in-store operations, and reduce customer attrition.
Let medical practitioners employ AI-assisted analytics to generate better data-based forecasts and recommendations, more effective diagnoses, individualized treatments, and to save lives.
Streamline the processing of invoices and receipts, automate warehouse analysis, find cargo damage, and plan routes.
Use AI solutions to ensure efficient car manufacture. Use effective AI automotive software to carry out intricate simulations and design iterations, provide reliable visual inspection, and enable the detection of equipment defects.
Use AI to manage claims, foresee large loss claims and detect fraud, assess the cost of the insurance-related property, and provide more services that are centered on the needs of the customer.