As developers working at the forefront of the healthcare, finance and retail industries, we have seen a significant increase in the number of organizations that are adopting AI-powered technology. Self-taught software systems are now a critical component of adaptive platforms capable of spotting anomalies, calculating risks, and other real-world applications. From diagnosis to recommendation systems, we develop AI frameworks to spur innovation and solve complex business challenges
At Achievion, we’re tackling some of today’s most challenging AI applications: image, speech and face recognition. Adaptive neural networks are capable of solving complex signal processing or pattern recognition problems and are ideal for these applications. Together with our enterprise-level clients, we’re developing machine learning models from scratch or on top of existing software in order to create app solutions that are maintainable, scalable and easily integrated with third-party systems.
We employ AI, speech recognition and natural language processing to develop intelligent machines that can process and communicate language. This technology is being used by businesses to gain a competitive advantage and enhance customer service. Applications include the development of chatbots and virtual assistants and as a tool for sentiment analysis, market intelligence, advertising strategy and machine translation.
Machine learning is used to develop a unique profile of each individual that is then used to customize and personalize the user experience. An individual’s profile is updated with every new relevant action, behavior and input. Hyper-personalization is being used to personalize content, advice or guidance, to recommend relevant products, provide personalized healthcare, finance, and other ways for the benefit of an individual.