Creating algorithms for automated data collection and learning from these data. ML models track patterns in collected data and use this knowledge for decisions. Machine learning is the discipline of creating systems that provide human-like behavior and intelligence.
A subdomain in artificial intelligence (AI) that allows computers to process data like a human brain. Deep learning solutions can find complex patterns in pictures, text, sounds, and other data and provide insights and predictions. This approach can be used to automate tasks that require human intelligence.
A subdomain of artificial intelligence (AI) that allows computers and systems to grab information from digital visual inputs like images and videos and provide smart solutions based on that information. Computer vision enables computers to see, observe and understand via visual stream.
Allows the understanding of spoken or written language, enabling computers to communicate the same way humans do.
Combination of NLP and ML to provide self-learning AI with human-like engagement and behavior.
Machine Learning Operations: An important function for automated production deployment of AI/ML-based solutions, maintenance, monitoring, and validation.
A discipline in AI/ML involving the processing of data to identify trends, extract insights, and provide information for business decisions. Answers the question, “What might happen in the future?”
Experience in different ML/DL areas allows us to be very flexible and adjust to product constraints. We can build a solution based on classical ML approaches that will not require a lot of computational resources or a huge dataset, as well as a comprehensive deep neural network that will train on a cluster of GPUs with multi-terabyte datasets.
Similarly, we have experience deploying models in a vast range of environments, from edge-embedded devices with limited resources to cloud-based solutions.
We seek a perfect balance between “innovative” and “conservative” solutions, and we know when and how to apply state-of-the-art technologies and time-tested solutions, all according to current business needs.
We work closely together to create effective AI/ML solutions that meet your business needs and produce the best results. Our experts are certified by reputable organizations such as Google Cloud Lab.
Techstack Ltd's efforts have helped streamline the development process, allowing them to launch the project earlier than projected. They regularly attend meetings and communicate effectively. They dedicate thorough and high-quality resources to help the client achieve all of their goals.
Clutch Review
R&D Engineer, Software Engineering Lead,
Finds answers for challenges related to business
Data Scientist,
Identifies actionable insights through data analysis
Optimize business processes and gain a competitive edge with the impact of AI and ML software development.
We excel in turning your ideas into software systems and processes that optimize the overall performance of your business.
Get insightful knowledge that will help you design a user experience tailored to your goals.
Gain valuable insights, identify the best technologies and tools, and streamline your development process to ensure successful results.
Discover the transformative impact of combining AI and ML software development with IoT technologies to unlock valuable insights and drive innovation in your organization.
