Process Engineering

Technossus leverages AI to help companies automate and optimize various business processes. These include AI applications for business analysis, conceptualization & development planning, data preparation management, AI solution development, ML output integration, AI solution quality assurance, and AI solution support and optimization.

Technossus utilizes the latest machine learning platforms, frameworks, and libraries to develop algorithms for all types of practical business uses. Some of the algorithms we develop include supervised learning, reinforcement learning, unsupervised learning, and neural networks including deep learning. Neural networks include Convolutional & recurrent neural networks (LSTM, GRU, etc.), Generative adversarial networks (GANs), Feedforward Neural Network, Modular neural network, Autoencoders (VAE, DAE, SAE, etc.), & Deep Q-Network (DQN).

Technossus uses RPA technology to automate any kind of data entry process in order to move data between systems more efficiently. Other applications of RPA include the capability to move data from Excel to business applications or automate other tasks that are normally done by humans. RPA allows you to simulate a human being interacting with a traditional computer interface to do data entry or automate a business process through a custom software application.