Building a neural network and training it on massive data to perform certain actions, such as identification, analysis or forecast, can be ultimately important for your business. All you need is a powerful technology. Softeq has been investing into R&D in the Artificial Intelligence (AI) and machine learning (ML) related areas long before the actual business need for solutions powered with such tech emerged. Providing advanced genetic algorithms that underlie the neural network training, our experts will collaborate with you to help you enter machine learning and articulate the right goals for the solution. Be it comprehensive analytics, online recommendations, cognitive computing or prediction engines, we will do our best to ensure the technology supports your vision.
“We attracted many math whizzes, scientists and programming contest winners, because the algorithmic challenges we face are many times more challenging than what an average outsourcing company can handle,” said Christopher A. Howard, Softeq CEO and Founder.
For a team that proficient in algorithm development, for Softeq, engineering ML-powered solutions evolved as a competency quite naturally. Softeq’s experts keenly turned their hands to the AI space, already having practical experience in a number of ML application areas.
Solutions for the Internet of Things — software and devices — produce loads of data, which need to be analyzed to provide a useful insight or become actionable knowledge. Machine learning powered solutions will help you monitor behaviors, uncover patterns, assist in predicting peaks and problems, and more. Softeq offers our team’s programming and data management competences to create complex, algorithmic systems to support your operational needs.
Here is the list of algorithms we have already utilized: Gradient Decent / Stochastic / Mini-batch, Linear Regression / Multiple Variables, Logistic Regression, Multiclass Classification, Support Vector Machines, Unsupervised Learning, Anomaly Detection, Decision Tree, Random Forest, Neural and Convolutional Networks.
Solutions for sensor data acquisition and comprehensive analysis of data collected and generated by global networks of connected devices.
Smart cockpits, accident prevention software, autopilots and self-driving cars powered by smart camera solutions and innovative technologies such as Intel® RealSense™ and NVIDIA Drive PX 2.